Senior or Principal Soil Scientist page is loaded Senior or Principal Soil Scientistlocations: GB.Bristol.The Hub: GB.London.Nova Northtime type: Full timeposted on: Posted Todayjob requisition id: R-145181 Job Description OverviewWe have a great opportunity for a dynamic and motivated Senior or Principal Soil Scientist (depending on experience) to join our Sustainable Land and Resource Management team in the UK to support with managing project delivery and driving technical delivery and business development.We are seeking an individual with a strong technical background and experience in the assessment and management of soil and agricultural land quality, with a focus on Agricultural Land Classification (ALC) and sustainable management of soils on infrastructure projects and construction sites. The successful applicant will be an important part of an innovative and technically excellent team of Soil Scientists helping deliver major projects. As a member of our team, you will be involved in a range of office and field-based work, engaging with our experienced staff to deliver excellence to our clients, and will work closely with a wide range of other professionals to deliver holistic solutions to environmental and engineering problems.The Sustainable Land and Resource Practice is a well-established, award winning, multi-disciplinary, environmental and engineering practice with an extensive portfolio of regeneration and development projects and a highly skilled team winning numerous industry awards over the years. The Practice is growing our soil and agricultural land quality service line, and the successful candidate will work on a number of large projects across a range of exciting markets, including the development of Cities, Transportation, Water, Defence and Energy infrastructure. Your Role Lead on the technical delivery of ALC, soil resource surveys and sustainable management of soils. Support and lead on client work development, preparation of proposals and input into bids for multi-disciplinary infrastructure projects. Liaison with clients, stakeholders, regulators, sub-contractors and other internal disciplines. Work effectively as part of a team and with other professionals (environmental scientists, engineers, planners) to provide a consistent and integrated service to our clients. Maintain excellent professional relationships which will lead to and secure repeat business. Compliance with Health and Safety policies and procedures, including preparing and reviewing health and safety plans and managing health and safety on site. Provide technical guidance, constructive support and mentoring to junior staff and supporting their technical development. Developing own competence and maintain CPD necessary to fulfil the responsibilities of the role, with support from the business on own training and development needs. About you Degree qualified in a relevant engineering or science subject (e.g. soil science, geology and environmental science ). Relevant post-graduate experience. Full or Chartered Membership of relevant professional body such as the British Society of Soil Science. If not Chartered, we would expect the candidate, with our support, to become chartered 6 to 12 months after joining. Demonstrate a proven track record of undertaking soil surveys including recording accurate descriptions of soil profiles, undertaking hand texturing, collecting soil samples and interpretating soil chemical and physical analyses. Detailed working knowledge and specialist understanding of ALC including interpretating soil properties and conditions. Working knowledge and demonstrable understanding of the relevant legislation, technical guidance, industry standards and best practice, especially in respect to agricultural soil assessment and the protection and sustainable management of soils. Experienced in preparing and reviewing technical reports ALC assessments, Soil Resources Plans, Soil Handling Management Plans and Aftercare Plans. Experience in writing EIA chapters is desirable but not essential. Demonstrate a proven track record of providing advice on earthworks related sustainable soils management and project management including managing project teams resulting in delivery to high standards. Excellent communication skills and proven ability to manage and mentor staff as well as managing time and work as part of a team as well as individual working. Flexible and prepared to take on new challenges. Full UK driving licence and the ability and willingness to travel throughout the UK and work on short term assignments. Reward & benefitsExplore the rewards and benefits that help you thrive - at every stage of your life and your career. Enjoy competitive salaries, employee rewards and a brilliant range of benefits you can tailor to suit your own health, wellbeing, financial and lifestyle choices. Make the most of a myriad of opportunities for training and professional development to grow your skills and expertise. And combine our hybrid working culture and flexible holiday allowances to balance a great job and fulfilling personal life. About AtkinsRéalisWe're , a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people. Additional information Security clearance This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary, it will be discussed with you at interview. The vetting process is delivered by United Kingdom Security Vetting (UKSV) and may require candidates to provide proof of residency in the UK of 5 years or longer. If applying to this role please do not make reference to (in conversation) or include in your application or CV, details of any current or previously held security clearance.We are committed to creating a culture where everyone feels that they belong - a place where we can all be ourselves, thrive and develop to be the best we can be. So, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee resource groups to support all employees. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability. Worker Type Employee Job Type Regular At AtkinsRéalis , we seek to hire individuals with diverse characteristics, backgrounds and perspectives. We strongly believe that world-class talent makes no distinctions based on gender, ethnic or national origin, sexual identity and orientation, age, religion or disability, but enriches itself through these differences.
Jan 10, 2026
Full time
Senior or Principal Soil Scientist page is loaded Senior or Principal Soil Scientistlocations: GB.Bristol.The Hub: GB.London.Nova Northtime type: Full timeposted on: Posted Todayjob requisition id: R-145181 Job Description OverviewWe have a great opportunity for a dynamic and motivated Senior or Principal Soil Scientist (depending on experience) to join our Sustainable Land and Resource Management team in the UK to support with managing project delivery and driving technical delivery and business development.We are seeking an individual with a strong technical background and experience in the assessment and management of soil and agricultural land quality, with a focus on Agricultural Land Classification (ALC) and sustainable management of soils on infrastructure projects and construction sites. The successful applicant will be an important part of an innovative and technically excellent team of Soil Scientists helping deliver major projects. As a member of our team, you will be involved in a range of office and field-based work, engaging with our experienced staff to deliver excellence to our clients, and will work closely with a wide range of other professionals to deliver holistic solutions to environmental and engineering problems.The Sustainable Land and Resource Practice is a well-established, award winning, multi-disciplinary, environmental and engineering practice with an extensive portfolio of regeneration and development projects and a highly skilled team winning numerous industry awards over the years. The Practice is growing our soil and agricultural land quality service line, and the successful candidate will work on a number of large projects across a range of exciting markets, including the development of Cities, Transportation, Water, Defence and Energy infrastructure. Your Role Lead on the technical delivery of ALC, soil resource surveys and sustainable management of soils. Support and lead on client work development, preparation of proposals and input into bids for multi-disciplinary infrastructure projects. Liaison with clients, stakeholders, regulators, sub-contractors and other internal disciplines. Work effectively as part of a team and with other professionals (environmental scientists, engineers, planners) to provide a consistent and integrated service to our clients. Maintain excellent professional relationships which will lead to and secure repeat business. Compliance with Health and Safety policies and procedures, including preparing and reviewing health and safety plans and managing health and safety on site. Provide technical guidance, constructive support and mentoring to junior staff and supporting their technical development. Developing own competence and maintain CPD necessary to fulfil the responsibilities of the role, with support from the business on own training and development needs. About you Degree qualified in a relevant engineering or science subject (e.g. soil science, geology and environmental science ). Relevant post-graduate experience. Full or Chartered Membership of relevant professional body such as the British Society of Soil Science. If not Chartered, we would expect the candidate, with our support, to become chartered 6 to 12 months after joining. Demonstrate a proven track record of undertaking soil surveys including recording accurate descriptions of soil profiles, undertaking hand texturing, collecting soil samples and interpretating soil chemical and physical analyses. Detailed working knowledge and specialist understanding of ALC including interpretating soil properties and conditions. Working knowledge and demonstrable understanding of the relevant legislation, technical guidance, industry standards and best practice, especially in respect to agricultural soil assessment and the protection and sustainable management of soils. Experienced in preparing and reviewing technical reports ALC assessments, Soil Resources Plans, Soil Handling Management Plans and Aftercare Plans. Experience in writing EIA chapters is desirable but not essential. Demonstrate a proven track record of providing advice on earthworks related sustainable soils management and project management including managing project teams resulting in delivery to high standards. Excellent communication skills and proven ability to manage and mentor staff as well as managing time and work as part of a team as well as individual working. Flexible and prepared to take on new challenges. Full UK driving licence and the ability and willingness to travel throughout the UK and work on short term assignments. Reward & benefitsExplore the rewards and benefits that help you thrive - at every stage of your life and your career. Enjoy competitive salaries, employee rewards and a brilliant range of benefits you can tailor to suit your own health, wellbeing, financial and lifestyle choices. Make the most of a myriad of opportunities for training and professional development to grow your skills and expertise. And combine our hybrid working culture and flexible holiday allowances to balance a great job and fulfilling personal life. About AtkinsRéalisWe're , a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people. Additional information Security clearance This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary, it will be discussed with you at interview. The vetting process is delivered by United Kingdom Security Vetting (UKSV) and may require candidates to provide proof of residency in the UK of 5 years or longer. If applying to this role please do not make reference to (in conversation) or include in your application or CV, details of any current or previously held security clearance.We are committed to creating a culture where everyone feels that they belong - a place where we can all be ourselves, thrive and develop to be the best we can be. So, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee resource groups to support all employees. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability. Worker Type Employee Job Type Regular At AtkinsRéalis , we seek to hire individuals with diverse characteristics, backgrounds and perspectives. We strongly believe that world-class talent makes no distinctions based on gender, ethnic or national origin, sexual identity and orientation, age, religion or disability, but enriches itself through these differences.
Overview Our client is at the forefront of AI innovation and is seeking a world-class Principal AI Research Scientist specializing in Natural Language Processing (NLP) to join their dynamic, fully remote team. This position offers a unique opportunity to drive groundbreaking research and development in state-of-the-art NLP models and applications, impacting a global user base. The role requires a deep theoretical understanding and practical expertise in machine learning, deep learning, and advanced NLP techniques. You will be instrumental in shaping the future of how humans interact with technology through intelligent language understanding and generation. Responsibilities Lead the research and development of novel NLP algorithms and models, pushing the boundaries of artificial intelligence. Design and implement advanced deep learning architectures for tasks such as text generation, summarization, sentiment analysis, and machine translation. Conduct cutting-edge research in areas like transformer models, large language models (LLMs), and explainable AI (XAI) for NLP. Collaborate with a global team of researchers and engineers to translate research findings into practical applications and product features. Publish research findings in top-tier AI conferences and journals. Mentor junior researchers and contribute to the scientific growth of the team. Develop and maintain high-quality, production-ready code for AI models. Stay abreast of the latest advancements in NLP, machine learning, and deep learning. Contribute to the strategic direction of the company's AI research roadmap. Evaluate and benchmark new models and techniques against industry standards. Qualifications Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. 10+ years of experience in AI research, with a strong focus on Natural Language Processing. Proven track record of impactful research, evidenced by publications, patents, or significant contributions to open-source projects. Deep expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and NLP libraries (e.g., Hugging Face Transformers). Proficiency in programming languages such as Python. Experience with large-scale data processing and distributed computing. Strong analytical and problem-solving skills. Excellent communication and presentation skills, with the ability to articulate complex technical concepts clearly. Experience leading research projects and mentoring junior scientists is highly desirable. This is a fully remote position, offering flexibility and the opportunity to work from anywhere. Company WhatJobs Level of experience: Senior (5+ years of experience). Tags: Industry, Language Modeling, Language Understanding, Machine Translation, NLP, United Kingdom.
Jan 09, 2026
Full time
Overview Our client is at the forefront of AI innovation and is seeking a world-class Principal AI Research Scientist specializing in Natural Language Processing (NLP) to join their dynamic, fully remote team. This position offers a unique opportunity to drive groundbreaking research and development in state-of-the-art NLP models and applications, impacting a global user base. The role requires a deep theoretical understanding and practical expertise in machine learning, deep learning, and advanced NLP techniques. You will be instrumental in shaping the future of how humans interact with technology through intelligent language understanding and generation. Responsibilities Lead the research and development of novel NLP algorithms and models, pushing the boundaries of artificial intelligence. Design and implement advanced deep learning architectures for tasks such as text generation, summarization, sentiment analysis, and machine translation. Conduct cutting-edge research in areas like transformer models, large language models (LLMs), and explainable AI (XAI) for NLP. Collaborate with a global team of researchers and engineers to translate research findings into practical applications and product features. Publish research findings in top-tier AI conferences and journals. Mentor junior researchers and contribute to the scientific growth of the team. Develop and maintain high-quality, production-ready code for AI models. Stay abreast of the latest advancements in NLP, machine learning, and deep learning. Contribute to the strategic direction of the company's AI research roadmap. Evaluate and benchmark new models and techniques against industry standards. Qualifications Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. 10+ years of experience in AI research, with a strong focus on Natural Language Processing. Proven track record of impactful research, evidenced by publications, patents, or significant contributions to open-source projects. Deep expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and NLP libraries (e.g., Hugging Face Transformers). Proficiency in programming languages such as Python. Experience with large-scale data processing and distributed computing. Strong analytical and problem-solving skills. Excellent communication and presentation skills, with the ability to articulate complex technical concepts clearly. Experience leading research projects and mentoring junior scientists is highly desirable. This is a fully remote position, offering flexibility and the opportunity to work from anywhere. Company WhatJobs Level of experience: Senior (5+ years of experience). Tags: Industry, Language Modeling, Language Understanding, Machine Translation, NLP, United Kingdom.
A leading research institute in London seeks a Principal Data Scientist to lead AI Security research. The role requires previous DV clearance and a strong background in AI and mathematics. Responsibilities include managing the AI Security Group, shaping national security research agendas, and collaborating with government partners. The position offers a competitive salary of £78,422-£83,456 with excellent benefits including flexible working.
Jan 09, 2026
Full time
A leading research institute in London seeks a Principal Data Scientist to lead AI Security research. The role requires previous DV clearance and a strong background in AI and mathematics. Responsibilities include managing the AI Security Group, shaping national security research agendas, and collaborating with government partners. The position offers a competitive salary of £78,422-£83,456 with excellent benefits including flexible working.
JOB BAND: F CONTRACT TYPE: Permanent, Full-time DEPARTMENT: CRM, Data & Insights LOCATION: London, TVC PROPOSED SALARY RANGE: £116,000 - £137,000 depending on relevant skills, knowledge and experience. Plus London Weighting Allowance of £5,441 plus 25% bonus. The expected salary range for this role reflects internal benchmarking and external market insights. We're happy to discuss flexible working. If you'd like to, please indicate your preference in the application - though there's no obligation to do so now. Flexible working will be part of the discussion at offer stage. We are BBC Studios A globally renowned media company borne of the BBC. We make and distribute the world's most sought-after TV, audio and digital content. Our ambition is to be the home of the most powerful, entertaining, and inspiring stories for people all around the world. Purpose of the Role We have built a successful data science team and are looking for a new Head of Data Science to take it to the next stage. You'll be working across all of BBC Studios' lines of business to understand where data science can make a difference. As data remains a developing capability within BBC Studios, this role will be central to driving data education and supporting the organisation's cultural evolution. This role will play a critical role in the education and culture change we are bringing to the business and act as a champion for the Data Science team, promoting its work and building understanding of the value data driven insights can bring to BBC Studio. Why Join the Team This role sits centrally in a warm and welcoming wider team with a strong senior leadership team. We have regular team meetings and away days where we share learnings and support each other's work. We have a vibrant social committee and participate actively in the departmental diversity & inclusion initiatives. Your Key Responsibilities and Impact Lead, manage and develop a high performing team of data scientists, including recruiting, coaching and supporting career progression across BBC Studios. Support the development & delivery of the BBC Studios' data strategy, working collaboratively with senior leaders across Data, Technology, Product, Marketing, Privacy and Commercial. Champion data science across the organisation, driving engagement, fostering cross team collaboration and communicating the impact of high value data science initiatives. Provide deep technical leadership, shaping the data science capability by designing, scaling and operationalising robust, modern data science solutions in partnership with cross functional teams. Play a key role within the senior Data leadership team, partnering with leaders in analytics, data engineering, data product and data management to steer strategic direction and technical standards. Own the delivery of impactful, production grade data science applications, including content development optimisation, automated decision making for monetisation, personalisation, metadata enrichment and other high value use cases. Work closely with Data Platform teams to build and evolve the infrastructure and tooling required to support Data Science at scale across BBC Studios. Your Skills and Experience Essential Criteria: Professional experience working as a data scientist, with hands on delivery of analytical or machine learning solutions. Degree in Data Science or a closely related quantitative field (e.g., Computer Science, Statistics, Mathematics). Proven management experience within a data science function, guiding technical delivery. Experience hiring and retaining data scientists at all levels Strong technical knowledge to guide teams and assess the feasibility and suitability of proposed solutions Demonstrated experience in managing and shaping the technological foundation needed to deliver high quality and rapid Data Science solutions. Demonstrated ability to engage and influence a broad range of stakeholders at varying levels of the organisation. Desired but not required: Experience within media is desireable not essential. Demonstrated ability to deploy positive ROI impact through Data science projects in other organisations (media industry is a bonus). Masters or PHD in mathematics, statistics or computer science or related field; OR equivalent experience. Next Steps We appreciate your interest in this position and understand how important this opportunity is to you. Due to the high volume of interest we may need to close the application period earlier than anticipated. This step is necessary to ensure we can provide a high level of attention and service to all applicants. Thank you for your understanding. Disclaimer This job description is a written statement of the essential characteristics of the job, with its principal accountabilities, incorporating a note of the skills, knowledge and experience required for a satisfactory level of performance. This is not intended to be a complete, detailed account of all aspects of the duties involved. Please note: If you were to be offered this role, the BBC will conduct Employment screening checks which include Reference checks; Eligibility to work checks; and if applicable to the role, Safeguarding and Adverse media/Social media checks. Any offer made is conditional on these checks being satisfactory. Redeployment The BBC is committed to redeploying employees seeking suitable alternative employment within the BBC and they will be given priority consideration ahead of other applicants. Priority consideration means for those employees seeking redeployment their application will be considered alongside anyone else at risk of redundancy, prior to any individuals being considered who are not at risk. Information at a Glance This is your BBC At the BBC you can create and innovate in an inclusive environment while contributing to some of the world's best loved content, and the BBC's mission to inform, educate and entertain. Find out more about BBC Studios. Life at BBC Studios A flexible 35 hour working week with 26 days annual leave (plus bank holidays) and the option to buy an extra five days. Defined pension (up to 10% employer contributions). Caring and parenting support, 24/7 remote GP access, life assurance and accident benefit. BBC Studios is a world leader in operating sustainably both on and off screen. Find out more about BBC Group's science based Net Zero targets here. Career development in a values led purpose driven culture. Benefits may vary if you are joining on an FTC basis. Learn more about life at the BBC and our values in our candidate pack. Candidate Pack You belong We have a working environment where we value and respect every individual's unique contribution, so all our employees feel that they can belong, thrive and achieve their full potential. We want to attract the broadest range of talented people to join us. The more diverse our workforce, the better able we are to respond to and reflect our audiences in all their diversity. We welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio economic background, religion and/or belief. Find out more about diversity, inclusion and belonging in our strategy below. Disability Confident We are a disability confident employer. If you need to discuss adjustments or access requirements for the interview process, or to carry out this role, please contact us via email and we'd be happy to discuss: . BBC Group and Public Services, Broadcasting House, Portland Place, London, United Kingdom, W1A 1AA. BBC Studios Distribution Limited, company no: , registered address: 1 Television Centre, 101 Wood Lane, London, United Kingdom W12 7FA.
Jan 09, 2026
Full time
JOB BAND: F CONTRACT TYPE: Permanent, Full-time DEPARTMENT: CRM, Data & Insights LOCATION: London, TVC PROPOSED SALARY RANGE: £116,000 - £137,000 depending on relevant skills, knowledge and experience. Plus London Weighting Allowance of £5,441 plus 25% bonus. The expected salary range for this role reflects internal benchmarking and external market insights. We're happy to discuss flexible working. If you'd like to, please indicate your preference in the application - though there's no obligation to do so now. Flexible working will be part of the discussion at offer stage. We are BBC Studios A globally renowned media company borne of the BBC. We make and distribute the world's most sought-after TV, audio and digital content. Our ambition is to be the home of the most powerful, entertaining, and inspiring stories for people all around the world. Purpose of the Role We have built a successful data science team and are looking for a new Head of Data Science to take it to the next stage. You'll be working across all of BBC Studios' lines of business to understand where data science can make a difference. As data remains a developing capability within BBC Studios, this role will be central to driving data education and supporting the organisation's cultural evolution. This role will play a critical role in the education and culture change we are bringing to the business and act as a champion for the Data Science team, promoting its work and building understanding of the value data driven insights can bring to BBC Studio. Why Join the Team This role sits centrally in a warm and welcoming wider team with a strong senior leadership team. We have regular team meetings and away days where we share learnings and support each other's work. We have a vibrant social committee and participate actively in the departmental diversity & inclusion initiatives. Your Key Responsibilities and Impact Lead, manage and develop a high performing team of data scientists, including recruiting, coaching and supporting career progression across BBC Studios. Support the development & delivery of the BBC Studios' data strategy, working collaboratively with senior leaders across Data, Technology, Product, Marketing, Privacy and Commercial. Champion data science across the organisation, driving engagement, fostering cross team collaboration and communicating the impact of high value data science initiatives. Provide deep technical leadership, shaping the data science capability by designing, scaling and operationalising robust, modern data science solutions in partnership with cross functional teams. Play a key role within the senior Data leadership team, partnering with leaders in analytics, data engineering, data product and data management to steer strategic direction and technical standards. Own the delivery of impactful, production grade data science applications, including content development optimisation, automated decision making for monetisation, personalisation, metadata enrichment and other high value use cases. Work closely with Data Platform teams to build and evolve the infrastructure and tooling required to support Data Science at scale across BBC Studios. Your Skills and Experience Essential Criteria: Professional experience working as a data scientist, with hands on delivery of analytical or machine learning solutions. Degree in Data Science or a closely related quantitative field (e.g., Computer Science, Statistics, Mathematics). Proven management experience within a data science function, guiding technical delivery. Experience hiring and retaining data scientists at all levels Strong technical knowledge to guide teams and assess the feasibility and suitability of proposed solutions Demonstrated experience in managing and shaping the technological foundation needed to deliver high quality and rapid Data Science solutions. Demonstrated ability to engage and influence a broad range of stakeholders at varying levels of the organisation. Desired but not required: Experience within media is desireable not essential. Demonstrated ability to deploy positive ROI impact through Data science projects in other organisations (media industry is a bonus). Masters or PHD in mathematics, statistics or computer science or related field; OR equivalent experience. Next Steps We appreciate your interest in this position and understand how important this opportunity is to you. Due to the high volume of interest we may need to close the application period earlier than anticipated. This step is necessary to ensure we can provide a high level of attention and service to all applicants. Thank you for your understanding. Disclaimer This job description is a written statement of the essential characteristics of the job, with its principal accountabilities, incorporating a note of the skills, knowledge and experience required for a satisfactory level of performance. This is not intended to be a complete, detailed account of all aspects of the duties involved. Please note: If you were to be offered this role, the BBC will conduct Employment screening checks which include Reference checks; Eligibility to work checks; and if applicable to the role, Safeguarding and Adverse media/Social media checks. Any offer made is conditional on these checks being satisfactory. Redeployment The BBC is committed to redeploying employees seeking suitable alternative employment within the BBC and they will be given priority consideration ahead of other applicants. Priority consideration means for those employees seeking redeployment their application will be considered alongside anyone else at risk of redundancy, prior to any individuals being considered who are not at risk. Information at a Glance This is your BBC At the BBC you can create and innovate in an inclusive environment while contributing to some of the world's best loved content, and the BBC's mission to inform, educate and entertain. Find out more about BBC Studios. Life at BBC Studios A flexible 35 hour working week with 26 days annual leave (plus bank holidays) and the option to buy an extra five days. Defined pension (up to 10% employer contributions). Caring and parenting support, 24/7 remote GP access, life assurance and accident benefit. BBC Studios is a world leader in operating sustainably both on and off screen. Find out more about BBC Group's science based Net Zero targets here. Career development in a values led purpose driven culture. Benefits may vary if you are joining on an FTC basis. Learn more about life at the BBC and our values in our candidate pack. Candidate Pack You belong We have a working environment where we value and respect every individual's unique contribution, so all our employees feel that they can belong, thrive and achieve their full potential. We want to attract the broadest range of talented people to join us. The more diverse our workforce, the better able we are to respond to and reflect our audiences in all their diversity. We welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio economic background, religion and/or belief. Find out more about diversity, inclusion and belonging in our strategy below. Disability Confident We are a disability confident employer. If you need to discuss adjustments or access requirements for the interview process, or to carry out this role, please contact us via email and we'd be happy to discuss: . BBC Group and Public Services, Broadcasting House, Portland Place, London, United Kingdom, W1A 1AA. BBC Studios Distribution Limited, company no: , registered address: 1 Television Centre, 101 Wood Lane, London, United Kingdom W12 7FA.
Title: Principal/Lead Mathematician Rate: £450-£550 Outside IR35 Contract duration: 3 months (Initially) Start date: Immediately! We're partnering with a highly technical, early-stage organisation building a next-generation, AI-driven decision platform. They're looking for a Principal/Lead Mathematician to own the mathematical foundation that underpins the entire system. This is a rare opportunity to sit at the heart of product design - translating human problem-solving processes into rigorous mathematical, algorithmic and optimisation models that power summarisation, semantic search, and decision-support workflows. You'll lead the design and validation of core algorithms, working closely with Data Scientists and Engineers to embed mathematically sound models into a modular, cloud-native platform. What you'll be doing Designing end-to-end mathematical models that translate real-world workflows into executable system logic Applying algebraic modelling, graph theory, optimisation and statistics to complex, unstructured data problems Prototyping and validating algorithms in Python and MATLAB Shaping the mathematical backbone of vector search, intent extraction and LLM-driven workflows Producing clear, auditable documentation in LaTeX and Jupyter Acting as the mathematical authority across the platform and mentoring others where needed What we're looking for Strong background in applied mathematics, operations research or optimisation Proven experience with graph-based models, algorithm design and probabilistic methods Comfortable working alongside Data Science and Engineering teams Ability to translate abstract, human-led processes into formal mathematical representations Experience supporting AI/ML-driven systems (theoretical or applied) This role suits someone who enjoys owning complex problems from first principles , shaping both the theory and its real-world application in a cutting-edge technical environment. If you're interested in this role or know someone who would be, then please apply with an updated CV
Jan 05, 2026
Contractor
Title: Principal/Lead Mathematician Rate: £450-£550 Outside IR35 Contract duration: 3 months (Initially) Start date: Immediately! We're partnering with a highly technical, early-stage organisation building a next-generation, AI-driven decision platform. They're looking for a Principal/Lead Mathematician to own the mathematical foundation that underpins the entire system. This is a rare opportunity to sit at the heart of product design - translating human problem-solving processes into rigorous mathematical, algorithmic and optimisation models that power summarisation, semantic search, and decision-support workflows. You'll lead the design and validation of core algorithms, working closely with Data Scientists and Engineers to embed mathematically sound models into a modular, cloud-native platform. What you'll be doing Designing end-to-end mathematical models that translate real-world workflows into executable system logic Applying algebraic modelling, graph theory, optimisation and statistics to complex, unstructured data problems Prototyping and validating algorithms in Python and MATLAB Shaping the mathematical backbone of vector search, intent extraction and LLM-driven workflows Producing clear, auditable documentation in LaTeX and Jupyter Acting as the mathematical authority across the platform and mentoring others where needed What we're looking for Strong background in applied mathematics, operations research or optimisation Proven experience with graph-based models, algorithm design and probabilistic methods Comfortable working alongside Data Science and Engineering teams Ability to translate abstract, human-led processes into formal mathematical representations Experience supporting AI/ML-driven systems (theoretical or applied) This role suits someone who enjoys owning complex problems from first principles , shaping both the theory and its real-world application in a cutting-edge technical environment. If you're interested in this role or know someone who would be, then please apply with an updated CV
Principal Data Engineer - Hybrid (London/Winchester) We're seeking a hands-on Principal Data Engineer to design and deliver enterprise-scale, cloud-native data platforms that power analytics, reporting, and Real Time decision-making. This is a strategic technical leadership role where you'll shape architecture, mentor engineers, and deliver end-to-end solutions across a modern AWS/Databricks stack. What you'll do Lead the design of scalable, secure data architectures on AWS. Build and optimise ETL/ELT pipelines for batch and streaming data. Deploy and manage Apache Spark jobs on Databricks and Delta Lake. Write production-grade Python and SQL for large-scale data transformations. Drive data quality, governance, and automation through CI/CD and IaC. Collaborate with data scientists, analysts, and business stakeholders. Mentor and guide data engineering teams. What we're looking for Proven experience in senior/principal data engineering roles. Expertise in AWS, Databricks, Apache Spark, Python, and SQL. Strong background in cloud-native data platforms, Real Time processing, and data lakes. Hands-on experience with tools such as Airflow, Kafka, Docker, GitLab CI/CD. Excellent stakeholder engagement and leadership skills. What's on offer £84000 salary + 10% bonus 6% pension contribution Private medical & flexible benefits package 25 days annual leave (plus buy/sell options) Hybrid working - travel to London or Winchester once/twice per week Join a company at the forefront of media, connectivity, and smart technology, where your work directly powers millions of daily connections across the UK.
Oct 06, 2025
Full time
Principal Data Engineer - Hybrid (London/Winchester) We're seeking a hands-on Principal Data Engineer to design and deliver enterprise-scale, cloud-native data platforms that power analytics, reporting, and Real Time decision-making. This is a strategic technical leadership role where you'll shape architecture, mentor engineers, and deliver end-to-end solutions across a modern AWS/Databricks stack. What you'll do Lead the design of scalable, secure data architectures on AWS. Build and optimise ETL/ELT pipelines for batch and streaming data. Deploy and manage Apache Spark jobs on Databricks and Delta Lake. Write production-grade Python and SQL for large-scale data transformations. Drive data quality, governance, and automation through CI/CD and IaC. Collaborate with data scientists, analysts, and business stakeholders. Mentor and guide data engineering teams. What we're looking for Proven experience in senior/principal data engineering roles. Expertise in AWS, Databricks, Apache Spark, Python, and SQL. Strong background in cloud-native data platforms, Real Time processing, and data lakes. Hands-on experience with tools such as Airflow, Kafka, Docker, GitLab CI/CD. Excellent stakeholder engagement and leadership skills. What's on offer £84000 salary + 10% bonus 6% pension contribution Private medical & flexible benefits package 25 days annual leave (plus buy/sell options) Hybrid working - travel to London or Winchester once/twice per week Join a company at the forefront of media, connectivity, and smart technology, where your work directly powers millions of daily connections across the UK.
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Principal will be responsible for supporting complex or leading singular projects related to data engineering requirements and initiatives across Jazz Research and Development. The Principal will support data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics. Essential Functions Support the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Develop data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and workflows. Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model. Maintain compliance with data privacy regulations such as HIPAA, GDPR May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Strong knowledge of data engineering tools such as Python, R and SQL for data processing. Strong proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Strong proficiency with relational databases. Strong background in data modeling and database design. Familiarity with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). Familiarity with Containerization such as Docker and EKS/Kubernetes. Familiarity with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Exposure to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor's Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master's Degree preferred 3-5 years of experience in data engineering, with at least 1.5 years focusing on healthcare, research or clinical related data Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
Oct 04, 2025
Full time
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Principal will be responsible for supporting complex or leading singular projects related to data engineering requirements and initiatives across Jazz Research and Development. The Principal will support data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics. Essential Functions Support the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Develop data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and workflows. Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model. Maintain compliance with data privacy regulations such as HIPAA, GDPR May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Strong knowledge of data engineering tools such as Python, R and SQL for data processing. Strong proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Strong proficiency with relational databases. Strong background in data modeling and database design. Familiarity with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). Familiarity with Containerization such as Docker and EKS/Kubernetes. Familiarity with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Exposure to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor's Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master's Degree preferred 3-5 years of experience in data engineering, with at least 1.5 years focusing on healthcare, research or clinical related data Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Principal, AI Data Scientist will be responsible for supporting the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions Support the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build. Support the development and implementation GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives. Support the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients' engagement. Support the esign and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions. Ensuring compliance with regulatory requirements and data privacy standards. Facilitate knowledge sharing and exchange within Jazz Data Science and across Jazz Research and Development. Required Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Knowledge/experience with digital healthcare tools design and development Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high compute cloud-based platforms and services, in particular AWS. Familiarity with code version control and MLOps deployment approaches. Ability to understand healthcare challenges and adapt accordingly the AI solutions. Cross-functions high adaptability to meet cross organization goals. Required/Preferred Education Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field 3 - 5 years of related professional experience, with 1+ years of experience applying AI/ML techniques to healthcare or clinical research data. Experience in healthcare/AI implementation in healthcare field is a plus. Knowledge of digital healthcare tools design and development Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
Oct 04, 2025
Full time
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Principal, AI Data Scientist will be responsible for supporting the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions Support the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build. Support the development and implementation GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives. Support the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients' engagement. Support the esign and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions. Ensuring compliance with regulatory requirements and data privacy standards. Facilitate knowledge sharing and exchange within Jazz Data Science and across Jazz Research and Development. Required Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Knowledge/experience with digital healthcare tools design and development Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high compute cloud-based platforms and services, in particular AWS. Familiarity with code version control and MLOps deployment approaches. Ability to understand healthcare challenges and adapt accordingly the AI solutions. Cross-functions high adaptability to meet cross organization goals. Required/Preferred Education Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field 3 - 5 years of related professional experience, with 1+ years of experience applying AI/ML techniques to healthcare or clinical research data. Experience in healthcare/AI implementation in healthcare field is a plus. Knowledge of digital healthcare tools design and development Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Principal, AI Data Scientist will be responsible for supporting the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions Support the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build. Support the development and implementation GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives. Support the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients' engagement. Support the esign and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions. Ensuring compliance with regulatory requirements and data privacy standards. Facilitate knowledge sharing and exchange within Jazz Data Science and across Jazz Research and Development. Required Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Knowledge/experience with digital healthcare tools design and development Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high compute cloud-based platforms and services, in particular AWS. Familiarity with code version control and MLOps deployment approaches. Ability to understand healthcare challenges and adapt accordingly the AI solutions. Cross-functions high adaptability to meet cross organization goals. Required/Preferred Education Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field 3 - 5 years of related professional experience, with 1+ years of experience applying AI/ML techniques to healthcare or clinical research data. Experience in healthcare/AI implementation in healthcare field is a plus. Knowledge of digital healthcare tools design and development Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
Oct 04, 2025
Full time
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Principal, AI Data Scientist will be responsible for supporting the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions Support the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build. Support the development and implementation GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives. Support the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients' engagement. Support the esign and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions. Ensuring compliance with regulatory requirements and data privacy standards. Facilitate knowledge sharing and exchange within Jazz Data Science and across Jazz Research and Development. Required Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Knowledge/experience with digital healthcare tools design and development Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high compute cloud-based platforms and services, in particular AWS. Familiarity with code version control and MLOps deployment approaches. Ability to understand healthcare challenges and adapt accordingly the AI solutions. Cross-functions high adaptability to meet cross organization goals. Required/Preferred Education Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field 3 - 5 years of related professional experience, with 1+ years of experience applying AI/ML techniques to healthcare or clinical research data. Experience in healthcare/AI implementation in healthcare field is a plus. Knowledge of digital healthcare tools design and development Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Principal, AI Data Scientist will be responsible for supporting the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions Support the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build. Support the development and implementation GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives. Support the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients' engagement. Support the esign and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions. Ensuring compliance with regulatory requirements and data privacy standards. Facilitate knowledge sharing and exchange within Jazz Data Science and across Jazz Research and Development. Required Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Knowledge/experience with digital healthcare tools design and development Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high compute cloud-based platforms and services, in particular AWS. Familiarity with code version control and MLOps deployment approaches. Ability to understand healthcare challenges and adapt accordingly the AI solutions. Cross-functions high adaptability to meet cross organization goals. Required/Preferred Education Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field 3 - 5 years of related professional experience, with 1+ years of experience applying AI/ML techniques to healthcare or clinical research data. Experience in healthcare/AI implementation in healthcare field is a plus. Knowledge of digital healthcare tools design and development Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
Oct 04, 2025
Full time
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Principal, AI Data Scientist will be responsible for supporting the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions Support the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build. Support the development and implementation GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives. Support the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients' engagement. Support the esign and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions. Ensuring compliance with regulatory requirements and data privacy standards. Facilitate knowledge sharing and exchange within Jazz Data Science and across Jazz Research and Development. Required Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Knowledge/experience with digital healthcare tools design and development Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high compute cloud-based platforms and services, in particular AWS. Familiarity with code version control and MLOps deployment approaches. Ability to understand healthcare challenges and adapt accordingly the AI solutions. Cross-functions high adaptability to meet cross organization goals. Required/Preferred Education Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field 3 - 5 years of related professional experience, with 1+ years of experience applying AI/ML techniques to healthcare or clinical research data. Experience in healthcare/AI implementation in healthcare field is a plus. Knowledge of digital healthcare tools design and development Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. Brief Description: The Principal, AI Data Scientist will be responsible for supporting the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions Support the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build. Support the development and implementation GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives. Support the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients' engagement. Support the design and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions. Ensuring compliance with regulatory requirements and data privacy standards. Facilitate knowledge sharing and exchange within Jazz Data Science and across Jazz Research and Development. Required Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Knowledge/experience with digital healthcare tools design and development Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high compute cloud-based platforms and services, in particular AWS. Familiarity with code version control and MLOps deployment approaches. Ability to understand healthcare challenges and adapt accordingly the AI solutions. Cross-functions high adaptability to meet cross organization goals. Required/Preferred Education Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field 3 - 5 years of related professional experience, with 1+ years of experience applying AI/ML techniques to healthcare or clinical research data. Experience in healthcare/AI implementation in healthcare field is a plus. Knowledge in digital healthcare tools design and development Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
Oct 04, 2025
Full time
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. Brief Description: The Principal, AI Data Scientist will be responsible for supporting the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions Support the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build. Support the development and implementation GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives. Support the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients' engagement. Support the design and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions. Ensuring compliance with regulatory requirements and data privacy standards. Facilitate knowledge sharing and exchange within Jazz Data Science and across Jazz Research and Development. Required Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Knowledge/experience with digital healthcare tools design and development Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high compute cloud-based platforms and services, in particular AWS. Familiarity with code version control and MLOps deployment approaches. Ability to understand healthcare challenges and adapt accordingly the AI solutions. Cross-functions high adaptability to meet cross organization goals. Required/Preferred Education Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field 3 - 5 years of related professional experience, with 1+ years of experience applying AI/ML techniques to healthcare or clinical research data. Experience in healthcare/AI implementation in healthcare field is a plus. Knowledge in digital healthcare tools design and development Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Principal, AI Data Scientist will be responsible for supporting the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions Support the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build. Support the development and implementation GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives. Support the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients' engagement. Support the esign and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions. Ensuring compliance with regulatory requirements and data privacy standards. Facilitate knowledge sharing and exchange within Jazz Data Science and across Jazz Research and Development. Required Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Knowledge/experience with digital healthcare tools design and development Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high compute cloud-based platforms and services, in particular AWS. Familiarity with code version control and MLOps deployment approaches. Ability to understand healthcare challenges and adapt accordingly the AI solutions. Cross-functions high adaptability to meet cross organization goals. Required/Preferred Education Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field 3 - 5 years of related professional experience, with 1+ years of experience applying AI/ML techniques to healthcare or clinical research data. Experience in healthcare/AI implementation in healthcare field is a plus. Knowledge of digital healthcare tools design and development Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
Oct 04, 2025
Full time
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Principal, AI Data Scientist will be responsible for supporting the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions Support the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build. Support the development and implementation GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives. Support the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients' engagement. Support the esign and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions. Ensuring compliance with regulatory requirements and data privacy standards. Facilitate knowledge sharing and exchange within Jazz Data Science and across Jazz Research and Development. Required Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Knowledge/experience with digital healthcare tools design and development Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high compute cloud-based platforms and services, in particular AWS. Familiarity with code version control and MLOps deployment approaches. Ability to understand healthcare challenges and adapt accordingly the AI solutions. Cross-functions high adaptability to meet cross organization goals. Required/Preferred Education Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field 3 - 5 years of related professional experience, with 1+ years of experience applying AI/ML techniques to healthcare or clinical research data. Experience in healthcare/AI implementation in healthcare field is a plus. Knowledge of digital healthcare tools design and development Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Principal will be responsible for supporting complex or leading singular projects related to data engineering requirements and initiatives across Jazz Research and Development. The Principal will support data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics. Essential Functions Support the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Develop data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and workflows. Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model. Maintain compliance with data privacy regulations such as HIPAA, GDPR May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Strong knowledge of data engineering tools such as Python, R and SQL for data processing. Strong proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Strong proficiency with relational databases. Strong background in data modeling and database design. Familiarity with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). Familiarity with Containerization such as Docker and EKS/Kubernetes. Familiarity with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Exposure to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor's Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master's Degree preferred 3-5 years of experience in data engineering, with at least 1.5 years focusing on healthcare, research or clinical related data Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
Oct 04, 2025
Full time
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Principal will be responsible for supporting complex or leading singular projects related to data engineering requirements and initiatives across Jazz Research and Development. The Principal will support data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics. Essential Functions Support the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Develop data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and workflows. Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model. Maintain compliance with data privacy regulations such as HIPAA, GDPR May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Strong knowledge of data engineering tools such as Python, R and SQL for data processing. Strong proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Strong proficiency with relational databases. Strong background in data modeling and database design. Familiarity with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). Familiarity with Containerization such as Docker and EKS/Kubernetes. Familiarity with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Exposure to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor's Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master's Degree preferred 3-5 years of experience in data engineering, with at least 1.5 years focusing on healthcare, research or clinical related data Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Principal will be responsible for supporting complex or leading singular projects related to data engineering requirements and initiatives across Jazz Research and Development. The Principal will support data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics. Essential Functions Support the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Develop data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and workflows. Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model. Maintain compliance with data privacy regulations such as HIPAA, GDPR May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Strong knowledge of data engineering tools such as Python, R and SQL for data processing. Strong proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Strong proficiency with relational databases. Strong background in data modeling and database design. Familiarity with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). Familiarity with Containerization such as Docker and EKS/Kubernetes. Familiarity with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Exposure to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor's Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master's Degree preferred 3-5 years of experience in data engineering, with at least 1.5 years focusing on healthcare, research or clinical related data Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
Oct 04, 2025
Full time
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Principal will be responsible for supporting complex or leading singular projects related to data engineering requirements and initiatives across Jazz Research and Development. The Principal will support data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics. Essential Functions Support the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Develop data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and workflows. Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model. Maintain compliance with data privacy regulations such as HIPAA, GDPR May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Strong knowledge of data engineering tools such as Python, R and SQL for data processing. Strong proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Strong proficiency with relational databases. Strong background in data modeling and database design. Familiarity with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). Familiarity with Containerization such as Docker and EKS/Kubernetes. Familiarity with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Exposure to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor's Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master's Degree preferred 3-5 years of experience in data engineering, with at least 1.5 years focusing on healthcare, research or clinical related data Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. Brief Description: The Principal, AI Data Scientist will be responsible for supporting the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions Support the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build. Support the development and implementation GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives. Support the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients' engagement. Support the design and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions. Ensuring compliance with regulatory requirements and data privacy standards. Facilitate knowledge sharing and exchange within Jazz Data Science and across Jazz Research and Development. Required Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Knowledge/experience with digital healthcare tools design and development Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high compute cloud-based platforms and services, in particular AWS. Familiarity with code version control and MLOps deployment approaches. Ability to understand healthcare challenges and adapt accordingly the AI solutions. Cross-functions high adaptability to meet cross organization goals. Required/Preferred Education Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field 3 - 5 years of related professional experience, with 1+ years of experience applying AI/ML techniques to healthcare or clinical research data. Experience in healthcare/AI implementation in healthcare field is a plus. Knowledge in digital healthcare tools design and development Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
Oct 04, 2025
Full time
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. Brief Description: The Principal, AI Data Scientist will be responsible for supporting the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions Support the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build. Support the development and implementation GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives. Support the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients' engagement. Support the design and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions. Ensuring compliance with regulatory requirements and data privacy standards. Facilitate knowledge sharing and exchange within Jazz Data Science and across Jazz Research and Development. Required Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Knowledge/experience with digital healthcare tools design and development Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high compute cloud-based platforms and services, in particular AWS. Familiarity with code version control and MLOps deployment approaches. Ability to understand healthcare challenges and adapt accordingly the AI solutions. Cross-functions high adaptability to meet cross organization goals. Required/Preferred Education Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field 3 - 5 years of related professional experience, with 1+ years of experience applying AI/ML techniques to healthcare or clinical research data. Experience in healthcare/AI implementation in healthcare field is a plus. Knowledge in digital healthcare tools design and development Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Principal, AI Data Scientist will be responsible for supporting the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions Support the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build. Support the development and implementation GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives. Support the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients' engagement. Support the esign and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions. Ensuring compliance with regulatory requirements and data privacy standards. Facilitate knowledge sharing and exchange within Jazz Data Science and across Jazz Research and Development. Required Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Knowledge/experience with digital healthcare tools design and development Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high compute cloud-based platforms and services, in particular AWS. Familiarity with code version control and MLOps deployment approaches. Ability to understand healthcare challenges and adapt accordingly the AI solutions. Cross-functions high adaptability to meet cross organization goals. Required/Preferred Education Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field 3 - 5 years of related professional experience, with 1+ years of experience applying AI/ML techniques to healthcare or clinical research data. Experience in healthcare/AI implementation in healthcare field is a plus. Knowledge of digital healthcare tools design and development Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
Oct 04, 2025
Full time
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Principal, AI Data Scientist will be responsible for supporting the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions Support the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build. Support the development and implementation GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives. Support the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients' engagement. Support the esign and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions. Ensuring compliance with regulatory requirements and data privacy standards. Facilitate knowledge sharing and exchange within Jazz Data Science and across Jazz Research and Development. Required Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Knowledge/experience with digital healthcare tools design and development Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high compute cloud-based platforms and services, in particular AWS. Familiarity with code version control and MLOps deployment approaches. Ability to understand healthcare challenges and adapt accordingly the AI solutions. Cross-functions high adaptability to meet cross organization goals. Required/Preferred Education Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field 3 - 5 years of related professional experience, with 1+ years of experience applying AI/ML techniques to healthcare or clinical research data. Experience in healthcare/AI implementation in healthcare field is a plus. Knowledge of digital healthcare tools design and development Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Senior Principal will be responsible for leading projects related to data engineering requirements and initiatives across Jazz Research and Development. The Senior Principal will lead data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics. Essential Functions Lead the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Own data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and workflows. Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model. Maintain compliance with data privacy regulations such as HIPAA, GDPR May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Expert knowledge of data engineering tools such as Python, R and SQL for data processing. Expert proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Expert proficiency with relational databases. Strong background in data modeling and database design. Strong knowledge with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). Experience with Containerization such as Docker and EKS/Kubernetes. Experience with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Experience to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor's Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master's Degree preferred 5-7 years of experience in data engineering, with at least 2 years focusing on healthcare, research or clinical related data Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
Oct 04, 2025
Full time
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Senior Principal will be responsible for leading projects related to data engineering requirements and initiatives across Jazz Research and Development. The Senior Principal will lead data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics. Essential Functions Lead the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Own data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and workflows. Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model. Maintain compliance with data privacy regulations such as HIPAA, GDPR May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Expert knowledge of data engineering tools such as Python, R and SQL for data processing. Expert proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Expert proficiency with relational databases. Strong background in data modeling and database design. Strong knowledge with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). Experience with Containerization such as Docker and EKS/Kubernetes. Experience with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Experience to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor's Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master's Degree preferred 5-7 years of experience in data engineering, with at least 2 years focusing on healthcare, research or clinical related data Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. Brief Description: The Principal, AI Data Scientist will be responsible for supporting the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions Support the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build. Support the development and implementation GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives. Support the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients' engagement. Support the design and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions. Ensuring compliance with regulatory requirements and data privacy standards. Facilitate knowledge sharing and exchange within Jazz Data Science and across Jazz Research and Development. Required Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Knowledge/experience with digital healthcare tools design and development Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high compute cloud-based platforms and services, in particular AWS. Familiarity with code version control and MLOps deployment approaches. Ability to understand healthcare challenges and adapt accordingly the AI solutions. Cross-functions high adaptability to meet cross organization goals. Required/Preferred Education Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field 3 - 5 years of related professional experience, with 1+ years of experience applying AI/ML techniques to healthcare or clinical research data. Experience in healthcare/AI implementation in healthcare field is a plus. Knowledge in digital healthcare tools design and development Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
Oct 04, 2025
Full time
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. Brief Description: The Principal, AI Data Scientist will be responsible for supporting the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions Support the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build. Support the development and implementation GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives. Support the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients' engagement. Support the design and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions. Ensuring compliance with regulatory requirements and data privacy standards. Facilitate knowledge sharing and exchange within Jazz Data Science and across Jazz Research and Development. Required Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Knowledge/experience with digital healthcare tools design and development Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high compute cloud-based platforms and services, in particular AWS. Familiarity with code version control and MLOps deployment approaches. Ability to understand healthcare challenges and adapt accordingly the AI solutions. Cross-functions high adaptability to meet cross organization goals. Required/Preferred Education Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field 3 - 5 years of related professional experience, with 1+ years of experience applying AI/ML techniques to healthcare or clinical research data. Experience in healthcare/AI implementation in healthcare field is a plus. Knowledge in digital healthcare tools design and development Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Principal will be responsible for supporting complex or leading singular projects related to data engineering requirements and initiatives across Jazz Research and Development. The Principal will support data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics. Essential Functions Support the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Develop data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and workflows. Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model. Maintain compliance with data privacy regulations such as HIPAA, GDPR May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Strong knowledge of data engineering tools such as Python, R and SQL for data processing. Strong proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Strong proficiency with relational databases. Strong background in data modeling and database design. Familiarity with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). Familiarity with Containerization such as Docker and EKS/Kubernetes. Familiarity with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Exposure to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor's Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master's Degree preferred 3-5 years of experience in data engineering, with at least 1.5 years focusing on healthcare, research or clinical related data Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
Oct 04, 2025
Full time
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Principal will be responsible for supporting complex or leading singular projects related to data engineering requirements and initiatives across Jazz Research and Development. The Principal will support data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics. Essential Functions Support the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Develop data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and workflows. Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model. Maintain compliance with data privacy regulations such as HIPAA, GDPR May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Strong knowledge of data engineering tools such as Python, R and SQL for data processing. Strong proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Strong proficiency with relational databases. Strong background in data modeling and database design. Familiarity with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). Familiarity with Containerization such as Docker and EKS/Kubernetes. Familiarity with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Exposure to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor's Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master's Degree preferred 3-5 years of experience in data engineering, with at least 1.5 years focusing on healthcare, research or clinical related data Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. Brief Description: The Principal, AI Data Scientist will be responsible for supporting the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions Support the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build. Support the development and implementation GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives. Support the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients' engagement. Support the design and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions. Ensuring compliance with regulatory requirements and data privacy standards. Facilitate knowledge sharing and exchange within Jazz Data Science and across Jazz Research and Development. Required Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Knowledge/experience with digital healthcare tools design and development Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high compute cloud-based platforms and services, in particular AWS. Familiarity with code version control and MLOps deployment approaches. Ability to understand healthcare challenges and adapt accordingly the AI solutions. Cross-functions high adaptability to meet cross organization goals. Required/Preferred Education Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field 3 - 5 years of related professional experience, with 1+ years of experience applying AI/ML techniques to healthcare or clinical research data. Experience in healthcare/AI implementation in healthcare field is a plus. Knowledge in digital healthcare tools design and development Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
Oct 04, 2025
Full time
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. Brief Description: The Principal, AI Data Scientist will be responsible for supporting the implementation of innovative, complex and transformative AI/ML/GenAI solutions across the areas of Clinical Trial Execution and Digital Healthcare across Jazz Research and Development. Essential Functions Support the development and implementation of AI/ML/GenAI solutions to optimize clinical trial operations, including such areas as patient recruitment, patient retention, real-time data monitoring and automated data collection system build. Support the development and implementation GenAI applications for automated clinical trial documentation generation including such areas medical reports, clinical study reports, protocols and patient narratives. Support the development and implementation of Digital Healthcare applications for medical and scientific tools, RWE new ways of generating real data, patients' engagement. Support the design and develop predictive models and generative AI solutions using diverse healthcare data sources, including clinical trials data, electronic health records, wearable devices, patient-reported outcomes, HEOR data, phase IV studies. Collaborate with cross-functional teams including clinical operations, clinical development, data science and global medical & scientific affairs, RWE and patients working groups to tackle business challenges and bring value of AI-driven solutions. Ensuring compliance with regulatory requirements and data privacy standards. Facilitate knowledge sharing and exchange within Jazz Data Science and across Jazz Research and Development. Required Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Knowledge/experience with digital healthcare tools design and development Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high compute cloud-based platforms and services, in particular AWS. Familiarity with code version control and MLOps deployment approaches. Ability to understand healthcare challenges and adapt accordingly the AI solutions. Cross-functions high adaptability to meet cross organization goals. Required/Preferred Education Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field 3 - 5 years of related professional experience, with 1+ years of experience applying AI/ML techniques to healthcare or clinical research data. Experience in healthcare/AI implementation in healthcare field is a plus. Knowledge in digital healthcare tools design and development Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
