The Rosalind Franklin Institute
Harwell, Oxfordshire
Research Associate in Secondary Ion Mass Spectrometry SALARY: From £38,500 per annum (depending on skills and experience) LOCATION: Didcot, Oxfordshire JOB TYPE: 3 Years, Full-Time, Fixed Term Contract The Rosalind Franklin Institute (the Franklin) is a technology institute established by the UK Government as a unique centre committed to advancing tools that are needed to transform healthcare in the future. The Institute brings together researchers in life and physical sciences, and engineering, to develop a spectrum of tools which we will use to image, interpret and intervene in biological systems. These insights will speed up the discovery of new medicines, help find new diagnostics and contribute to a deeper understanding of human health and disease. Our Science Strategy seeks to focus the Franklin s research and unite our researchers around our Technology Innovation Challenges and Life Science Challenges. As part of the Integrated Chemical Imaging in Cells and Tissue Challenge, your role will be to develop mass spectrometry (MS) technologies that provide a comprehensive, spatially-resolved chemical view of whole tissues at near cellular resolution. Secondary ion mass spectrometry (SIMS) has the best in spatial resolution of imaging MS techniques, but there are still challenges in obtaining a holistic picture of the molecular makeup of cells at a subcellular level. This role will work with cutting edge instrumentation and further develop this instrumentation towards tackling this challenge. As a Research Associate at the Franklin, you will bring scientific knowledge and skills to deliver a specific research project and/or you will bring independent, creative science, or specific skills to a team delivering a project or program. Through this work, you will build scientific independence, develop new science and leadership skills and establish a growing reputation externally. Key Responsibilities As a Research Associate you will: Develop new SIMS modalities for advanced sensitivity and spacial resolution. Collaborate with biological and MS experts at the Franklin to optimise MSI conditions and methods for specific applications and challenges. Adapt to working across multi-modal instrumentation and collating multiomic and imaging data from diverse sources and scales. Investigate the use of cutting edge instrumentation to explore key scientific challenges such as sensitivity and spatial resolution. Design, model and construct new modalities to enable subcellular chemical imaging. Plan and conduct experiments, analyse and interpret results and supervised delivery of outputs (e.g. research report, patent application) in a scientific or technology area of interest. Work within a project team, contributing to wider projects around Franklin's key Challenges. Lead major contributions to outputs from research including papers, patents and both internal and external presentations. Support and develop others including day-to-day supervision of students or visitors in areas related to own research. Have supervised, staged progression to first stages of scientific independence with opportunities to further develop science and skills/experience. Enhance your research through collaboration with other researchers and make active contributions to exchanging of ideas through your own network. Be able to understand, interpret, create and communicate appropriately within a research context. Develop search and discovery skills and techniques. Be supervised by a Scientist/Senior Scientist in delivery of research outputs, either in the context of a project or Challenge or as an early career development fellow. This job description sets out the skills and experience we believe are needed to be able to do this job but, research also tells us women are much more likely than men to take this list of requirements as absolute and self-select out of the process. If you think you can deliver this role then we want to hear from you, regardless of the boxes you did not tick. Whilst the role requires candidates to hold a PhD/DPhil (or equivalent), we may consider candidates who have submitted their PhD/DPhil thesis, in which case the initial appointment will be made at £37,500 per annum (to be increased on completion of the PhD/DPhil qualification). In return we offer: 25 days holidays plus bank holidays and Christmas holiday shutdown Generous pension scheme (employer s contribution currently up to 18%) Group Life Assurance (also known as Group Life Insurance or Death in Service) Buying and Selling Annual Leave Workplace Nursery Salary Sacrifice Scheme Hub building with state-of-the-art laboratories Hybrid and flexible working Training and development opportunities for staff at all levels Bus pass discount scheme and good transport links to Oxford and surrounding areas Cycle to Work Scheme Access to employee discount platform (Perkbox) Occupational Health and wellbeing support including Employee Assistance (24/7 support and counselling) Health Cash Plan Subsidised canteen and food outlets on campus Free on-site parking Campus location in beautiful countryside with social and sports clubs open to staff The Franklin s underlying aim is to produce the best science for research today, and this means resolutely embracing a diverse team, who have a wide range of experiences, skills and knowledge to push forward on the innovative work our institution delivers. Both our work and our institution are better for it. We are committed to creating an inclusive environment where every applicant has an equal opportunity to showcase their talents and abilities. This includes making adjustments for candidates with specific needs. Please contact us to discuss your requirements confidentially. At the Rosalind Franklin Institute we also welcome applications from all around the world!
Jul 15, 2026
Contractor
Research Associate in Secondary Ion Mass Spectrometry SALARY: From £38,500 per annum (depending on skills and experience) LOCATION: Didcot, Oxfordshire JOB TYPE: 3 Years, Full-Time, Fixed Term Contract The Rosalind Franklin Institute (the Franklin) is a technology institute established by the UK Government as a unique centre committed to advancing tools that are needed to transform healthcare in the future. The Institute brings together researchers in life and physical sciences, and engineering, to develop a spectrum of tools which we will use to image, interpret and intervene in biological systems. These insights will speed up the discovery of new medicines, help find new diagnostics and contribute to a deeper understanding of human health and disease. Our Science Strategy seeks to focus the Franklin s research and unite our researchers around our Technology Innovation Challenges and Life Science Challenges. As part of the Integrated Chemical Imaging in Cells and Tissue Challenge, your role will be to develop mass spectrometry (MS) technologies that provide a comprehensive, spatially-resolved chemical view of whole tissues at near cellular resolution. Secondary ion mass spectrometry (SIMS) has the best in spatial resolution of imaging MS techniques, but there are still challenges in obtaining a holistic picture of the molecular makeup of cells at a subcellular level. This role will work with cutting edge instrumentation and further develop this instrumentation towards tackling this challenge. As a Research Associate at the Franklin, you will bring scientific knowledge and skills to deliver a specific research project and/or you will bring independent, creative science, or specific skills to a team delivering a project or program. Through this work, you will build scientific independence, develop new science and leadership skills and establish a growing reputation externally. Key Responsibilities As a Research Associate you will: Develop new SIMS modalities for advanced sensitivity and spacial resolution. Collaborate with biological and MS experts at the Franklin to optimise MSI conditions and methods for specific applications and challenges. Adapt to working across multi-modal instrumentation and collating multiomic and imaging data from diverse sources and scales. Investigate the use of cutting edge instrumentation to explore key scientific challenges such as sensitivity and spatial resolution. Design, model and construct new modalities to enable subcellular chemical imaging. Plan and conduct experiments, analyse and interpret results and supervised delivery of outputs (e.g. research report, patent application) in a scientific or technology area of interest. Work within a project team, contributing to wider projects around Franklin's key Challenges. Lead major contributions to outputs from research including papers, patents and both internal and external presentations. Support and develop others including day-to-day supervision of students or visitors in areas related to own research. Have supervised, staged progression to first stages of scientific independence with opportunities to further develop science and skills/experience. Enhance your research through collaboration with other researchers and make active contributions to exchanging of ideas through your own network. Be able to understand, interpret, create and communicate appropriately within a research context. Develop search and discovery skills and techniques. Be supervised by a Scientist/Senior Scientist in delivery of research outputs, either in the context of a project or Challenge or as an early career development fellow. This job description sets out the skills and experience we believe are needed to be able to do this job but, research also tells us women are much more likely than men to take this list of requirements as absolute and self-select out of the process. If you think you can deliver this role then we want to hear from you, regardless of the boxes you did not tick. Whilst the role requires candidates to hold a PhD/DPhil (or equivalent), we may consider candidates who have submitted their PhD/DPhil thesis, in which case the initial appointment will be made at £37,500 per annum (to be increased on completion of the PhD/DPhil qualification). In return we offer: 25 days holidays plus bank holidays and Christmas holiday shutdown Generous pension scheme (employer s contribution currently up to 18%) Group Life Assurance (also known as Group Life Insurance or Death in Service) Buying and Selling Annual Leave Workplace Nursery Salary Sacrifice Scheme Hub building with state-of-the-art laboratories Hybrid and flexible working Training and development opportunities for staff at all levels Bus pass discount scheme and good transport links to Oxford and surrounding areas Cycle to Work Scheme Access to employee discount platform (Perkbox) Occupational Health and wellbeing support including Employee Assistance (24/7 support and counselling) Health Cash Plan Subsidised canteen and food outlets on campus Free on-site parking Campus location in beautiful countryside with social and sports clubs open to staff The Franklin s underlying aim is to produce the best science for research today, and this means resolutely embracing a diverse team, who have a wide range of experiences, skills and knowledge to push forward on the innovative work our institution delivers. Both our work and our institution are better for it. We are committed to creating an inclusive environment where every applicant has an equal opportunity to showcase their talents and abilities. This includes making adjustments for candidates with specific needs. Please contact us to discuss your requirements confidentially. At the Rosalind Franklin Institute we also welcome applications from all around the world!
The Rosalind Franklin Institute
Harwell, Oxfordshire
Research Associate in Native Ambient Mass Spectrometry SALARY: From £38,500 per annum (depending on skills and experience) LOCATION: Didcot, Oxfordshire JOB TYPE: 3 Years, Full-Time, Fixed Term Contract The Rosalind Franklin Institute (the Franklin) is a technology institute established by the UK Government as a unique centre committed to advancing tools that are needed to transform healthcare in the future. The Institute brings together researchers in life and physical sciences, and engineering, to develop a spectrum of tools which we will use to image, interpret and intervene in biological systems. These insights will speed up the discovery of new medicines, help find new diagnostics and contribute to a deeper understanding of human health and disease. Our Science Strategy seeks to focus the Franklin s research and unite our researchers around our Technology Innovation Challenges and Life Science Challenges. We seek to recruit a postdoctoral research associate to undertake research in native ambient mass spectrometry imaging. The ideal candidate will have experience in at least two of the following: native mass spectrometry, top-down mass spectrometry, mass spectrometry imaging, ion source development, instrument development. As a Research Associate at the Franklin, you will bring scientific knowledge and skills to deliver a specific research project and/or you will bring independent, creative science, or specific skills to a team delivering a project or program. Through this work, you will build scientific independence, develop new science and leadership skills and establish a growing reputation externally. In this role, you will be responsible for developing tools for native ambient mass spectrometry, including nano-DESI and related techniques, and integration of NAMS with other structural biology techniques. You will collaborate closely with internal and external stakeholders to develop innovative solutions for improved mass spectrometry imaging of intact proteins and their assemblies in tissue and advancing integrative spatial and structural biology. The project will be hosted in the new Rosalind Franklin Institute facilities at Harwell but will also involve working with investigators across the Franklin, collaborator laboratories and with member institutes. Key Responsibilities As a Research Associate you will: Develop new tools for native ambient mass spectrometry imaging. Design, model and construct new instrumentation to enable chemical imaging. Collaborate with biological and MS experts at the Franklin to optimise MSI conditions and methods for specific collaborations and challenges. Adapt to working across multi-modal instrumentation and collating multiomic and imaging data from diverse sources and scales. Investigate the use of cutting edge instrumentation to explore key scientific challenges such as sensitivity and spatial resolution. Plan and conduct experiments, analyse and interpret results and supervised delivery of outputs (e.g. research report, patent application) in a scientific or technology area of interest. Work within a project team, contributing to wider projects around Franklin's key Challenges. Lead major contributions to outputs from research including papers, patents and both internal and external presentations. Support and develop others including day-to-day supervision of students or visitors in areas related to own research. Have supervised, staged progression to first stages of scientific independence with opportunities to further develop science and skills/experience. Enhance your research through collaboration with other researchers and make active contributions to exchanging of ideas through your own network. Be able to understand, interpret, create and communicate appropriately within a research context. Develop search and discovery skills and techniques. Be supervised by a Scientist/Senior Scientist in delivery of research outputs, either in the context of a project or Challenge or as an early career development fellow. This job description sets out the skills and experience we believe are needed to be able to do this job but, research also tells us women are much more likely than men to take this list of requirements as absolute and self-select out of the process. If you think you can deliver this role then we want to hear from you, regardless of the boxes you did not tick. Whilst the role requires candidates to hold a PhD/DPhil (or equivalent), we may consider candidates who have submitted their PhD/DPhil thesis, in which case the initial appointment will be made at £37,500 per annum (to be increased on completion of the PhD/DPhil qualification). In return we offer: 25 days holidays plus bank holidays and Christmas holiday shutdown Generous pension scheme (employer s contribution currently up to 18%) Group Life Assurance (also known as Group Life Insurance or Death in Service) Buying and Selling Annual Leave Workplace Nursery Salary Sacrifice Scheme Hub building with state-of-the-art laboratories Hybrid and flexible working Training and development opportunities for staff at all levels Bus pass discount scheme and good transport links to Oxford and surrounding areas Cycle to Work Scheme Access to employee discount platform (Perkbox) Occupational Health and wellbeing support including Employee Assistance (24/7 support and counselling) Health Cash Plan Subsidised canteen and food outlets on campus Free on-site parking Campus location in beautiful countryside with social and sports clubs open to staff The Franklin s underlying aim is to produce the best science for research today, and this means resolutely embracing a diverse team, who have a wide range of experiences, skills and knowledge to push forward on the innovative work our institution delivers. Both our work and our institution are better for it. We are committed to creating an inclusive environment where every applicant has an equal opportunity to showcase their talents and abilities. This includes making adjustments for candidates with specific needs. Please contact us to discuss your requirements confidentially. At the Rosalind Franklin Institute we also welcome applications from all around the world!
Jul 15, 2026
Contractor
Research Associate in Native Ambient Mass Spectrometry SALARY: From £38,500 per annum (depending on skills and experience) LOCATION: Didcot, Oxfordshire JOB TYPE: 3 Years, Full-Time, Fixed Term Contract The Rosalind Franklin Institute (the Franklin) is a technology institute established by the UK Government as a unique centre committed to advancing tools that are needed to transform healthcare in the future. The Institute brings together researchers in life and physical sciences, and engineering, to develop a spectrum of tools which we will use to image, interpret and intervene in biological systems. These insights will speed up the discovery of new medicines, help find new diagnostics and contribute to a deeper understanding of human health and disease. Our Science Strategy seeks to focus the Franklin s research and unite our researchers around our Technology Innovation Challenges and Life Science Challenges. We seek to recruit a postdoctoral research associate to undertake research in native ambient mass spectrometry imaging. The ideal candidate will have experience in at least two of the following: native mass spectrometry, top-down mass spectrometry, mass spectrometry imaging, ion source development, instrument development. As a Research Associate at the Franklin, you will bring scientific knowledge and skills to deliver a specific research project and/or you will bring independent, creative science, or specific skills to a team delivering a project or program. Through this work, you will build scientific independence, develop new science and leadership skills and establish a growing reputation externally. In this role, you will be responsible for developing tools for native ambient mass spectrometry, including nano-DESI and related techniques, and integration of NAMS with other structural biology techniques. You will collaborate closely with internal and external stakeholders to develop innovative solutions for improved mass spectrometry imaging of intact proteins and their assemblies in tissue and advancing integrative spatial and structural biology. The project will be hosted in the new Rosalind Franklin Institute facilities at Harwell but will also involve working with investigators across the Franklin, collaborator laboratories and with member institutes. Key Responsibilities As a Research Associate you will: Develop new tools for native ambient mass spectrometry imaging. Design, model and construct new instrumentation to enable chemical imaging. Collaborate with biological and MS experts at the Franklin to optimise MSI conditions and methods for specific collaborations and challenges. Adapt to working across multi-modal instrumentation and collating multiomic and imaging data from diverse sources and scales. Investigate the use of cutting edge instrumentation to explore key scientific challenges such as sensitivity and spatial resolution. Plan and conduct experiments, analyse and interpret results and supervised delivery of outputs (e.g. research report, patent application) in a scientific or technology area of interest. Work within a project team, contributing to wider projects around Franklin's key Challenges. Lead major contributions to outputs from research including papers, patents and both internal and external presentations. Support and develop others including day-to-day supervision of students or visitors in areas related to own research. Have supervised, staged progression to first stages of scientific independence with opportunities to further develop science and skills/experience. Enhance your research through collaboration with other researchers and make active contributions to exchanging of ideas through your own network. Be able to understand, interpret, create and communicate appropriately within a research context. Develop search and discovery skills and techniques. Be supervised by a Scientist/Senior Scientist in delivery of research outputs, either in the context of a project or Challenge or as an early career development fellow. This job description sets out the skills and experience we believe are needed to be able to do this job but, research also tells us women are much more likely than men to take this list of requirements as absolute and self-select out of the process. If you think you can deliver this role then we want to hear from you, regardless of the boxes you did not tick. Whilst the role requires candidates to hold a PhD/DPhil (or equivalent), we may consider candidates who have submitted their PhD/DPhil thesis, in which case the initial appointment will be made at £37,500 per annum (to be increased on completion of the PhD/DPhil qualification). In return we offer: 25 days holidays plus bank holidays and Christmas holiday shutdown Generous pension scheme (employer s contribution currently up to 18%) Group Life Assurance (also known as Group Life Insurance or Death in Service) Buying and Selling Annual Leave Workplace Nursery Salary Sacrifice Scheme Hub building with state-of-the-art laboratories Hybrid and flexible working Training and development opportunities for staff at all levels Bus pass discount scheme and good transport links to Oxford and surrounding areas Cycle to Work Scheme Access to employee discount platform (Perkbox) Occupational Health and wellbeing support including Employee Assistance (24/7 support and counselling) Health Cash Plan Subsidised canteen and food outlets on campus Free on-site parking Campus location in beautiful countryside with social and sports clubs open to staff The Franklin s underlying aim is to produce the best science for research today, and this means resolutely embracing a diverse team, who have a wide range of experiences, skills and knowledge to push forward on the innovative work our institution delivers. Both our work and our institution are better for it. We are committed to creating an inclusive environment where every applicant has an equal opportunity to showcase their talents and abilities. This includes making adjustments for candidates with specific needs. Please contact us to discuss your requirements confidentially. At the Rosalind Franklin Institute we also welcome applications from all around the world!
Senior Software Engineer (ML Systems) Title : Senior Software Engineer (ML Systems) Company : Deep Technology Organisation Location : London Pay : Up to 120,000 Company : A deeply technical organisation is investing heavily in the future of large-scale intelligent systems. They are assembling a small group of exceptional engineers and researchers to tackle some of the most challenging problems at the intersection of software, hardware and performance engineering. The team focuses on understanding how complex distributed systems behave at scale, using measurement, modelling and simulation to guide design decisions long before systems are deployed. In you, they hope to find a strong systems engineer with experience building or analysing high-performance computing platforms, distributed infrastructure, or machine learning systems. You will work alongside experts across software, infrastructure and research to shape the next generation of large-scale compute systems. There is significant scope to influence both technical direction and the growth of the team. Role : You will build models that simulate the behaviour of large-scale compute systems, helping teams understand performance, scalability and efficiency before making architectural decisions. This is a deeply technical role where you will: Design and build simulation frameworks for complex distributed systems Model compute, memory and communication behaviour across large-scale workloads Analyse bottlenecks and evaluate architectural trade-offs Run benchmarks and performance experiments on production-grade systems Validate simulation results against real-world measurements Partner with software, infrastructure and research teams to ensure models reflect practical constraints Produce clear technical recommendations backed by data and analysis About you: Strong computer science fundamentals with a solid understanding of systems design and performance Experience working with distributed systems, high-performance computing, or machine learning infrastructure Strong analytical skills and an interest in modelling complex systems Experience benchmarking and profiling large-scale workloads Understanding of parallel and distributed execution concepts Excellent programming skills in Python, C++ and/or Rust Comfortable working across software and infrastructure boundaries Strong communication skills and the ability to explain complex technical concepts clearly This is an opportunity to work on problems that sit at the intersection of software, systems and performance engineering, helping shape the design of highly sophisticated computing platforms. Full details are available. Please don't hesitate to get in touch for more information.
Jul 14, 2026
Full time
Senior Software Engineer (ML Systems) Title : Senior Software Engineer (ML Systems) Company : Deep Technology Organisation Location : London Pay : Up to 120,000 Company : A deeply technical organisation is investing heavily in the future of large-scale intelligent systems. They are assembling a small group of exceptional engineers and researchers to tackle some of the most challenging problems at the intersection of software, hardware and performance engineering. The team focuses on understanding how complex distributed systems behave at scale, using measurement, modelling and simulation to guide design decisions long before systems are deployed. In you, they hope to find a strong systems engineer with experience building or analysing high-performance computing platforms, distributed infrastructure, or machine learning systems. You will work alongside experts across software, infrastructure and research to shape the next generation of large-scale compute systems. There is significant scope to influence both technical direction and the growth of the team. Role : You will build models that simulate the behaviour of large-scale compute systems, helping teams understand performance, scalability and efficiency before making architectural decisions. This is a deeply technical role where you will: Design and build simulation frameworks for complex distributed systems Model compute, memory and communication behaviour across large-scale workloads Analyse bottlenecks and evaluate architectural trade-offs Run benchmarks and performance experiments on production-grade systems Validate simulation results against real-world measurements Partner with software, infrastructure and research teams to ensure models reflect practical constraints Produce clear technical recommendations backed by data and analysis About you: Strong computer science fundamentals with a solid understanding of systems design and performance Experience working with distributed systems, high-performance computing, or machine learning infrastructure Strong analytical skills and an interest in modelling complex systems Experience benchmarking and profiling large-scale workloads Understanding of parallel and distributed execution concepts Excellent programming skills in Python, C++ and/or Rust Comfortable working across software and infrastructure boundaries Strong communication skills and the ability to explain complex technical concepts clearly This is an opportunity to work on problems that sit at the intersection of software, systems and performance engineering, helping shape the design of highly sophisticated computing platforms. Full details are available. Please don't hesitate to get in touch for more information.
hackajob is collaborating with Mercor to connect them with exceptional professionals for this role. Mercor is recruiting Software Engineer (AI-Native Platform & Integrations) (Train AI Models Part Time!) to work on a research project for one of the world's top AI companies. This project involves using your professional experience to design questions related to your occupation. Applicants must: Have 4+ years full-time work experience in this occupation; Be based in the US, UK, or Canada Here are more details about the role: We aim to make the hourly compensation rate offered to you competitive based on your professional background and geographic location (please note that the listed hourly compensation scale is for U.S.-based applicants and that that scale will differ depending on where a candidate is geographically based) This project requires that you be able to commit a minimum of 15 hours per week We currently estimate that this project will last for the next 6 months and quite possibly longer. Please note that this estimate is subject to change - but if this listing is still up, then that means that the project is still running! Please note you will need access to a desktop or laptop computer for this project and that we cannot accept applicants who use chromebook computers We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request. Contract and payment terms You will be engaged as an independent contractor. This is a fully remote role that can be completed on your own schedule. Projects can be extended, shortened, or concluded early depending on needs and performance. Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution. Payments are weekly on Stripe or Wise based on services rendered. Please note: We are unable to support H1-B or STEM OPT candidates at this time. About Mercor Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.
Jul 14, 2026
Full time
hackajob is collaborating with Mercor to connect them with exceptional professionals for this role. Mercor is recruiting Software Engineer (AI-Native Platform & Integrations) (Train AI Models Part Time!) to work on a research project for one of the world's top AI companies. This project involves using your professional experience to design questions related to your occupation. Applicants must: Have 4+ years full-time work experience in this occupation; Be based in the US, UK, or Canada Here are more details about the role: We aim to make the hourly compensation rate offered to you competitive based on your professional background and geographic location (please note that the listed hourly compensation scale is for U.S.-based applicants and that that scale will differ depending on where a candidate is geographically based) This project requires that you be able to commit a minimum of 15 hours per week We currently estimate that this project will last for the next 6 months and quite possibly longer. Please note that this estimate is subject to change - but if this listing is still up, then that means that the project is still running! Please note you will need access to a desktop or laptop computer for this project and that we cannot accept applicants who use chromebook computers We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request. Contract and payment terms You will be engaged as an independent contractor. This is a fully remote role that can be completed on your own schedule. Projects can be extended, shortened, or concluded early depending on needs and performance. Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution. Payments are weekly on Stripe or Wise based on services rendered. Please note: We are unable to support H1-B or STEM OPT candidates at this time. About Mercor Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within the Corporate and Investment Banking (CIB), Equities Technology - Prime Services team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job responsibilities Write high-quality Python code for front-office Technology Systems. Collaborate closely with Traders and Quantitative Researchers to deliver solutions that enhance trading and execution workflows. Create alignment with stakeholders, both technical and non-technical. Execute creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develop secure high-quality production code, and review and debug code written by others Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems. Lead communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Add to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Bachelor's Degree in Computer Science or equivalent In-depth knowledge of Capital Markets and Equity Market Microstructure Strong knowledge of electronic trading workflows across pre-trade analytics, signal generation, execution algorithms and post-trade analysis. Advanced proficiency in Python. Strong analytical, quantitative and problem-solving skills. Ability to translate business and quant requirements into scalable target architectures and implementation roadmaps. Preferred qualifications, capabilities, and skills Hands on experience in Quantitative Trading and/or Market Analysis. Familiarity and prior experience on KDB/q will be beneficial. Knowledge of FIX, Market Data, Order Management Systems will be a strong plus. Prior experience with SecDB / Athena / Quartz platforms is advantageous but not required. Data streaming knowledge on frameworks like Kafka, AMPS will be beneficial. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Jul 14, 2026
Full time
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within the Corporate and Investment Banking (CIB), Equities Technology - Prime Services team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job responsibilities Write high-quality Python code for front-office Technology Systems. Collaborate closely with Traders and Quantitative Researchers to deliver solutions that enhance trading and execution workflows. Create alignment with stakeholders, both technical and non-technical. Execute creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Develop secure high-quality production code, and review and debug code written by others Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems. Lead communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies Add to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Bachelor's Degree in Computer Science or equivalent In-depth knowledge of Capital Markets and Equity Market Microstructure Strong knowledge of electronic trading workflows across pre-trade analytics, signal generation, execution algorithms and post-trade analysis. Advanced proficiency in Python. Strong analytical, quantitative and problem-solving skills. Ability to translate business and quant requirements into scalable target architectures and implementation roadmaps. Preferred qualifications, capabilities, and skills Hands on experience in Quantitative Trading and/or Market Analysis. Familiarity and prior experience on KDB/q will be beneficial. Knowledge of FIX, Market Data, Order Management Systems will be a strong plus. Prior experience with SecDB / Athena / Quartz platforms is advantageous but not required. Data streaming knowledge on frameworks like Kafka, AMPS will be beneficial. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
hackajob is collaborating with Sporty Group to connect them with exceptional professionals for this role. About the role As a Data Scientist at Sporty, you will build and productionize data-driven ML systems that enhance personalization, search, and recommendation experiences, with a clear focus on measurable business impact. The role combines advanced analytics, Python-based modelling, and cloud engineering to solve real-world problems at scale in a fast-paced product environment. Our Stack SQL Python AWS/Azure/GCP What you'll be doing Utilize advanced algorithms and data mining techniques to build personalized recommendation systems, optimizing product and service recommendations to enhance user experience and improve business conversion rates. Develop and productionize ML/AI systems across multiple domains - including search ranking, recommendation, and content intelligence - that directly impact user growth and business outcomes. What you'll bring Hands-on experience applying statistical and ML models to real business problems, with measurable impact on revenue or key business outcomes Advanced understanding of Python and the quantitative analysis ecosystem in Python Strong foundation in probability theory, statistics, machine learning, and linear algebra 2+ years of experience as a data scientist, quantitative researcher, quantitative analyst, or another relevant role Knowledge of SQL and experience with relational databases Proficient with AI tools and agents as part of daily development workflow; this role regularly leverages AI-assisted development to accelerate delivery Degree in Applied Mathematics, Computer Science, Financial Engineering, Technology, or Engineering Project and stakeholder management experience is preferred Even better if you have Apache Spark Experience working in cloud platforms (AWS, GCP, Microsoft Azure) Relevant knowledge or experience in the gaming industry Solid computer science background What's in it for you Sporty is a remote first company in pursuit of sustainability A competitive salary + individual performance based bonuses every quarter 28 days paid annual leave Our core working hours are 10am-3pm in your local time zone with flexibility outside of this Referral bonuses & flash bonuses Top of the line equipment Annual company retreats to provide great internal networking opportunities Interview Process Remote video screening with our Talent Acquisition Team Online home assignment Remote video interview with Team Members (3x45 Mins) If you're interested, we encourage you to apply! Every application is reviewed by a member of our team (AI is not used in our recruitment process), and we aim to respond within 48 hours.
Jul 14, 2026
Full time
hackajob is collaborating with Sporty Group to connect them with exceptional professionals for this role. About the role As a Data Scientist at Sporty, you will build and productionize data-driven ML systems that enhance personalization, search, and recommendation experiences, with a clear focus on measurable business impact. The role combines advanced analytics, Python-based modelling, and cloud engineering to solve real-world problems at scale in a fast-paced product environment. Our Stack SQL Python AWS/Azure/GCP What you'll be doing Utilize advanced algorithms and data mining techniques to build personalized recommendation systems, optimizing product and service recommendations to enhance user experience and improve business conversion rates. Develop and productionize ML/AI systems across multiple domains - including search ranking, recommendation, and content intelligence - that directly impact user growth and business outcomes. What you'll bring Hands-on experience applying statistical and ML models to real business problems, with measurable impact on revenue or key business outcomes Advanced understanding of Python and the quantitative analysis ecosystem in Python Strong foundation in probability theory, statistics, machine learning, and linear algebra 2+ years of experience as a data scientist, quantitative researcher, quantitative analyst, or another relevant role Knowledge of SQL and experience with relational databases Proficient with AI tools and agents as part of daily development workflow; this role regularly leverages AI-assisted development to accelerate delivery Degree in Applied Mathematics, Computer Science, Financial Engineering, Technology, or Engineering Project and stakeholder management experience is preferred Even better if you have Apache Spark Experience working in cloud platforms (AWS, GCP, Microsoft Azure) Relevant knowledge or experience in the gaming industry Solid computer science background What's in it for you Sporty is a remote first company in pursuit of sustainability A competitive salary + individual performance based bonuses every quarter 28 days paid annual leave Our core working hours are 10am-3pm in your local time zone with flexibility outside of this Referral bonuses & flash bonuses Top of the line equipment Annual company retreats to provide great internal networking opportunities Interview Process Remote video screening with our Talent Acquisition Team Online home assignment Remote video interview with Team Members (3x45 Mins) If you're interested, we encourage you to apply! Every application is reviewed by a member of our team (AI is not used in our recruitment process), and we aim to respond within 48 hours.
About Scrumconnect At Scrumconnect, we are a people-first digital consultancy that partners with government and private sector organisations to design, build, and deliver user-centred digital services. We bring together multidisciplinary teams of consultants, designers, engineers, researchers, and data specialists to solve complex challenges and create meaningful outcomes for millions of users. We are passionate about delivering high-quality digital solutions that improve public services, drive innovation, and create lasting impact. Our culture is built on collaboration, continuous learning, inclusivity, and excellence. About the Role Scrumconnect is seeking an experienced Data Lead to lead the development and execution of a strategic data vision for a large-scale government programme supporting services used by millions of citizens. This role will be responsible for assessing the current data landscape, defining the future-state architecture and operating model, and creating a roadmap that enables data-driven decision making, operational excellence, and regulatory compliance. The successful candidate will provide both strategic leadership and technical direction while helping shape and scale the data capability required to deliver long-term transformation. Working closely with senior stakeholders, delivery teams, architects, and data specialists, you will ensure that data platforms, governance frameworks, and analytical capabilities align with organisational objectives and government standards. Key Responsibilities Data Strategy & Governance Lead the development and execution of the overall data strategy. Assess and document current ("as-is") data capabilities, platforms, processes, and governance arrangements. Define the target ("to-be") data architecture, operating model, and roadmap. Establish and maintain data governance frameworks, standards, policies, and best practices. Ensure alignment with wider government data strategies and organisational objectives. Promote a culture of data-driven decision making across programmes and stakeholders. Technical Leadership & Architecture Provide technical leadership across data engineering, analytics, and data science initiatives. Define and evolve data architecture, engineering standards, tools, and methodologies. Design scalable, secure, and resilient cloud-based data solutions. Oversee the implementation of data platforms, ETL/ELT pipelines, and analytical solutions. Ensure data services meet both functional and non-functional requirements, including security, performance, and scalability. Drive continuous improvement of data engineering and analytical capabilities. Team Leadership & Delivery Define the optimal team structure, skills, and capabilities required to deliver the data strategy. Lead multidisciplinary teams including data engineers, analysts, data scientists, and architects. Mentor and support team members to foster technical excellence and professional growth. Collaborate with delivery partners and stakeholders to identify and onboard specialist expertise when required. Ensure successful delivery of strategic data initiatives within agreed timelines and budgets. Data Quality, Compliance & Security Implement robust data quality, lineage, metadata, and governance practices. Ensure compliance with GDPR, security policies, government standards, and regulatory requirements. Establish monitoring and reporting mechanisms to maintain data integrity and reliability. Support audits, risk assessments, and compliance activities. Champion secure-by-design and privacy-by-design principles across all data initiatives. Stakeholder Engagement Build strong relationships with senior stakeholders across business and technical teams. Translate complex technical concepts into clear business outcomes and recommendations. Present strategic plans, progress updates, and key insights to executive audiences. Facilitate workshops and decision-making sessions to drive alignment and delivery. Essential Skills & Experience Data Leadership Significant experience leading data engineering, analytics, or data science functions within complex organisations. Proven track record of developing and delivering enterprise-wide data strategies. Experience establishing data governance frameworks and operating models. Technical Expertise Strong experience with AWS cloud services and modern data platforms. Expertise in designing and implementing scalable data architectures and engineering solutions. Experience with ETL/ELT frameworks, data integration, and pipeline automation. Strong understanding of data modelling, data warehousing, and transformation methodologies. Experience supporting data science and machine learning initiatives from experimentation through production deployment. Strong understanding of data security, governance, and operational best practices. Public Sector Experience Experience delivering data initiatives within government or highly regulated environments. Strong understanding of GDPR, information governance, data protection legislation, and public sector compliance requirements. Familiarity with Government Digital Service (GDS) standards and ways of working. Communication & Leadership Excellent stakeholder management and communication skills. Ability to influence senior leaders and drive strategic decision-making. Experience building, leading, and mentoring high-performing data teams. Strong facilitation, collaboration, and workshop leadership capabilities. Technical Environment Experience with some or all of the following technologies is desirable: Cloud & Data Platforms AWS Amazon S3 AWS Glue AWS Lambda Amazon Redshift AWS Lake Formation Data Engineering & Analytics SQL Python ETL/ELT frameworks Data Warehousing solutions Data Modelling methodologies Performance & Digital Analytics Google Analytics Google BigQuery Google Looker Studio Google Tag Manager Desirable Experience Experience within benefits, welfare, citizen services, or wider public sector domains. Previous experience delivering services through public sector frameworks. Security clearance (BPSS, SC, or DV) or willingness to undergo clearance. Experience working within Agile multidisciplinary delivery teams. Experience defining and scaling enterprise data capabilities and operating models.
Jul 13, 2026
Full time
About Scrumconnect At Scrumconnect, we are a people-first digital consultancy that partners with government and private sector organisations to design, build, and deliver user-centred digital services. We bring together multidisciplinary teams of consultants, designers, engineers, researchers, and data specialists to solve complex challenges and create meaningful outcomes for millions of users. We are passionate about delivering high-quality digital solutions that improve public services, drive innovation, and create lasting impact. Our culture is built on collaboration, continuous learning, inclusivity, and excellence. About the Role Scrumconnect is seeking an experienced Data Lead to lead the development and execution of a strategic data vision for a large-scale government programme supporting services used by millions of citizens. This role will be responsible for assessing the current data landscape, defining the future-state architecture and operating model, and creating a roadmap that enables data-driven decision making, operational excellence, and regulatory compliance. The successful candidate will provide both strategic leadership and technical direction while helping shape and scale the data capability required to deliver long-term transformation. Working closely with senior stakeholders, delivery teams, architects, and data specialists, you will ensure that data platforms, governance frameworks, and analytical capabilities align with organisational objectives and government standards. Key Responsibilities Data Strategy & Governance Lead the development and execution of the overall data strategy. Assess and document current ("as-is") data capabilities, platforms, processes, and governance arrangements. Define the target ("to-be") data architecture, operating model, and roadmap. Establish and maintain data governance frameworks, standards, policies, and best practices. Ensure alignment with wider government data strategies and organisational objectives. Promote a culture of data-driven decision making across programmes and stakeholders. Technical Leadership & Architecture Provide technical leadership across data engineering, analytics, and data science initiatives. Define and evolve data architecture, engineering standards, tools, and methodologies. Design scalable, secure, and resilient cloud-based data solutions. Oversee the implementation of data platforms, ETL/ELT pipelines, and analytical solutions. Ensure data services meet both functional and non-functional requirements, including security, performance, and scalability. Drive continuous improvement of data engineering and analytical capabilities. Team Leadership & Delivery Define the optimal team structure, skills, and capabilities required to deliver the data strategy. Lead multidisciplinary teams including data engineers, analysts, data scientists, and architects. Mentor and support team members to foster technical excellence and professional growth. Collaborate with delivery partners and stakeholders to identify and onboard specialist expertise when required. Ensure successful delivery of strategic data initiatives within agreed timelines and budgets. Data Quality, Compliance & Security Implement robust data quality, lineage, metadata, and governance practices. Ensure compliance with GDPR, security policies, government standards, and regulatory requirements. Establish monitoring and reporting mechanisms to maintain data integrity and reliability. Support audits, risk assessments, and compliance activities. Champion secure-by-design and privacy-by-design principles across all data initiatives. Stakeholder Engagement Build strong relationships with senior stakeholders across business and technical teams. Translate complex technical concepts into clear business outcomes and recommendations. Present strategic plans, progress updates, and key insights to executive audiences. Facilitate workshops and decision-making sessions to drive alignment and delivery. Essential Skills & Experience Data Leadership Significant experience leading data engineering, analytics, or data science functions within complex organisations. Proven track record of developing and delivering enterprise-wide data strategies. Experience establishing data governance frameworks and operating models. Technical Expertise Strong experience with AWS cloud services and modern data platforms. Expertise in designing and implementing scalable data architectures and engineering solutions. Experience with ETL/ELT frameworks, data integration, and pipeline automation. Strong understanding of data modelling, data warehousing, and transformation methodologies. Experience supporting data science and machine learning initiatives from experimentation through production deployment. Strong understanding of data security, governance, and operational best practices. Public Sector Experience Experience delivering data initiatives within government or highly regulated environments. Strong understanding of GDPR, information governance, data protection legislation, and public sector compliance requirements. Familiarity with Government Digital Service (GDS) standards and ways of working. Communication & Leadership Excellent stakeholder management and communication skills. Ability to influence senior leaders and drive strategic decision-making. Experience building, leading, and mentoring high-performing data teams. Strong facilitation, collaboration, and workshop leadership capabilities. Technical Environment Experience with some or all of the following technologies is desirable: Cloud & Data Platforms AWS Amazon S3 AWS Glue AWS Lambda Amazon Redshift AWS Lake Formation Data Engineering & Analytics SQL Python ETL/ELT frameworks Data Warehousing solutions Data Modelling methodologies Performance & Digital Analytics Google Analytics Google BigQuery Google Looker Studio Google Tag Manager Desirable Experience Experience within benefits, welfare, citizen services, or wider public sector domains. Previous experience delivering services through public sector frameworks. Security clearance (BPSS, SC, or DV) or willingness to undergo clearance. Experience working within Agile multidisciplinary delivery teams. Experience defining and scaling enterprise data capabilities and operating models.
Excellent opportunity for a Senior Software Developer to play a key role in architecting, developing, and enhancing our clients in-house trading and research systems. This is an opportunity to work on greenfield projects, influence architectural decisions, and directly impact systems that support real-world trading strategies. As a senior member of the team, you will contribute both technically and strategically, helping shape development standards, performance optimisation, and system scalability. You will primarily work within a C# .NET SQL Server ASP.NET ecosystem, developing high-performance, reliable, and maintainable applications. Key Responsibilities Design, develop, and maintain high-performance applications in C# and .NET Lead architectural discussions and contribute to technical direction Build scalable, reliable systems to support automated trading and research Develop and optimise database solutions (SQL Server or equivalent) Improve performance, reliability, and automation across systems Mentor junior developers and promote best engineering practices Participate in code reviews and enforce high standards of quality Collaborate closely with researchers and traders to translate requirements into robust software solutions Contribute to continuous improvement of development processes and tooling Required Skills & Experience BSc (or higher) in Computer Science or a related scientific discipline Strong recent experience with C# and the latest .NET platform 5+ years of professional software development experience Solid experience with SQL Server, Oracle, or equivalent relational databases Strong understanding of object-oriented design principles and software architecture Experience building production-grade, scalable systems Fluency in English with excellent written and verbal communication skills High attention to detail and a thorough, analytical mindset Desirable Experience in multi-threaded and concurrent application development Network programming experience (TCP/UDP) Experience with distributed version control systems (Git) Strong understanding of Windows technologies Exposure to trading systems Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Jul 10, 2026
Full time
Excellent opportunity for a Senior Software Developer to play a key role in architecting, developing, and enhancing our clients in-house trading and research systems. This is an opportunity to work on greenfield projects, influence architectural decisions, and directly impact systems that support real-world trading strategies. As a senior member of the team, you will contribute both technically and strategically, helping shape development standards, performance optimisation, and system scalability. You will primarily work within a C# .NET SQL Server ASP.NET ecosystem, developing high-performance, reliable, and maintainable applications. Key Responsibilities Design, develop, and maintain high-performance applications in C# and .NET Lead architectural discussions and contribute to technical direction Build scalable, reliable systems to support automated trading and research Develop and optimise database solutions (SQL Server or equivalent) Improve performance, reliability, and automation across systems Mentor junior developers and promote best engineering practices Participate in code reviews and enforce high standards of quality Collaborate closely with researchers and traders to translate requirements into robust software solutions Contribute to continuous improvement of development processes and tooling Required Skills & Experience BSc (or higher) in Computer Science or a related scientific discipline Strong recent experience with C# and the latest .NET platform 5+ years of professional software development experience Solid experience with SQL Server, Oracle, or equivalent relational databases Strong understanding of object-oriented design principles and software architecture Experience building production-grade, scalable systems Fluency in English with excellent written and verbal communication skills High attention to detail and a thorough, analytical mindset Desirable Experience in multi-threaded and concurrent application development Network programming experience (TCP/UDP) Experience with distributed version control systems (Git) Strong understanding of Windows technologies Exposure to trading systems Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Data Validation Specialist 3-6 Month Initial Contract London/Hybrid 1-2 days per week on site Negotiable Rate (Inside IR35) We are seeking an experienced Data Validation Specialist to join a front-office data and analytics function, supporting the delivery of high-quality market and investment data used by quantitative researchers, traders and analytics teams. The ideal candidate will have experience in Hedge funds, Asset management or Investment banks As well as a good understanding of Quant engineering/Quant data groups, Fixed income, rates, FX, macro, trading or pricing environments This role will focus on improving data quality, validation processes and the management of complex financial datasets. Working closely with technical and business stakeholders, you will help ensure data is accurate, reliable and fit for purpose, while contributing to the development of centralised data services that support pricing, risk and analytics capabilities. Key Responsibilities Develop and enhance data validation frameworks to improve the quality, consistency and reliability of financial datasets. Validate, reconcile and analyse market and reference data before it is consumed by front-office users and downstream systems. Apply validation rules, filters and quality controls to derived datasets, ensuring accurate and trusted outputs. Investigate data quality issues, identify root causes and work collaboratively to resolve discrepancies. Work closely with quantitative researchers, traders and engineering teams to understand business requirements and expected data outcomes. Support the centralisation of data validation processes and promote consistent data standards across multiple data sources. Contribute to scalable data services and reusable validation capabilities that improve operational efficiency. Assist with the testing and implementation of new data services, ensuring robust validation processes are embedded throughout the delivery lifecycle. Document validation rules, quality controls and operational procedures. Monitor data quality metrics and proactively identify opportunities for continuous improvement. Collaborate with engineering teams supporting pricing, risk, analytics and investment data platforms. Required Skills & Experience Strong experience working with market data, reference data, pricing data or other financial datasets. Experience designing or implementing data validation frameworks and data quality controls. Ability to investigate data issues, identify anomalies and validate complex datasets. Good understanding of financial instruments and market structures, including areas such as fixed income, rates, swaps, bonds or related asset classes. Commercial experience using Python and SQL for data analysis, validation and automation. Experience working with large datasets within financial services. Ability to work closely with technical and business stakeholders in a fast-paced environment. Strong analytical, problem-solving and communication skills. Desirable Skills Experience with Snowflake. Knowledge of MongoDB or other NoSQL databases. Experience working within AWS or other cloud environments. Familiarity with workflow orchestration tools such as Airflow, Prefect or Dagster. Experience with market data providers such as Bloomberg, Refinitiv or ICE. Exposure to enterprise data management platforms. Knowledge of Kafka or other event-driven technologies. Experience supporting data governance or enterprise data architecture initiatives. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
Jul 09, 2026
Contractor
Data Validation Specialist 3-6 Month Initial Contract London/Hybrid 1-2 days per week on site Negotiable Rate (Inside IR35) We are seeking an experienced Data Validation Specialist to join a front-office data and analytics function, supporting the delivery of high-quality market and investment data used by quantitative researchers, traders and analytics teams. The ideal candidate will have experience in Hedge funds, Asset management or Investment banks As well as a good understanding of Quant engineering/Quant data groups, Fixed income, rates, FX, macro, trading or pricing environments This role will focus on improving data quality, validation processes and the management of complex financial datasets. Working closely with technical and business stakeholders, you will help ensure data is accurate, reliable and fit for purpose, while contributing to the development of centralised data services that support pricing, risk and analytics capabilities. Key Responsibilities Develop and enhance data validation frameworks to improve the quality, consistency and reliability of financial datasets. Validate, reconcile and analyse market and reference data before it is consumed by front-office users and downstream systems. Apply validation rules, filters and quality controls to derived datasets, ensuring accurate and trusted outputs. Investigate data quality issues, identify root causes and work collaboratively to resolve discrepancies. Work closely with quantitative researchers, traders and engineering teams to understand business requirements and expected data outcomes. Support the centralisation of data validation processes and promote consistent data standards across multiple data sources. Contribute to scalable data services and reusable validation capabilities that improve operational efficiency. Assist with the testing and implementation of new data services, ensuring robust validation processes are embedded throughout the delivery lifecycle. Document validation rules, quality controls and operational procedures. Monitor data quality metrics and proactively identify opportunities for continuous improvement. Collaborate with engineering teams supporting pricing, risk, analytics and investment data platforms. Required Skills & Experience Strong experience working with market data, reference data, pricing data or other financial datasets. Experience designing or implementing data validation frameworks and data quality controls. Ability to investigate data issues, identify anomalies and validate complex datasets. Good understanding of financial instruments and market structures, including areas such as fixed income, rates, swaps, bonds or related asset classes. Commercial experience using Python and SQL for data analysis, validation and automation. Experience working with large datasets within financial services. Ability to work closely with technical and business stakeholders in a fast-paced environment. Strong analytical, problem-solving and communication skills. Desirable Skills Experience with Snowflake. Knowledge of MongoDB or other NoSQL databases. Experience working within AWS or other cloud environments. Familiarity with workflow orchestration tools such as Airflow, Prefect or Dagster. Experience with market data providers such as Bloomberg, Refinitiv or ICE. Exposure to enterprise data management platforms. Knowledge of Kafka or other event-driven technologies. Experience supporting data governance or enterprise data architecture initiatives. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
Python Data Engineer 3-6 Months initial contract London/Hybrid - 1-2 days per week on site Negotiable rate (Inside IR35) We are seeking an experienced Python Data Engineer to join a high-performing data engineering team, building and enhancing centralised data services used by quantitative researchers, traders and front-office teams. The ideal candidate will have experience in Hedge funds, Asset management or Investment banks As well as a good understanding of Quant engineering/Quant data groups, Fixed income, rates, FX, macro, trading or pricing environments This is a hands-on engineering role focused on designing, developing and maintaining scalable data platforms, pipelines and services that deliver high-quality, validated investment data. You'll work closely with technical stakeholders to improve data quality, build reusable data capabilities and support business-critical analytics. Key Responsibilities Design, develop and enhance Python-based data services used by front-office and quantitative teams. Build scalable data pipelines and services to ingest, transform and deliver high-quality datasets. Develop robust data validation frameworks to improve the accuracy and reliability of derived data. Work closely with quantitative researchers, traders and engineering teams to understand data requirements and expected outputs. Cleanse, filter and validate raw datasets to ensure data quality before they are consumed by downstream users and applications. Support the centralisation of data services, reducing duplication and improving consistency across multiple data sources. Contribute to the design and implementation of scalable, reusable data architecture rather than tactical point solutions. Build and maintain APIs and data platforms capable of serving large-scale financial datasets. Take ownership of solutions throughout the full software development lifecycle, from design and development through testing, deployment and production support. Promote engineering best practices, including automated testing, version control and CI/CD. Deploy and maintain applications within cloud-native and containerised environments. Collaborate with cross-functional teams to continuously improve data platforms supporting pricing, risk, analytics and investment processes. Required Skills & Experience Strong commercial Python software engineering experience. Experience building scalable data services, APIs, data pipelines or data platforms. Solid software engineering practices including automated testing, Git and CI/CD. Experience working with cloud platforms, ideally AWS. Experience with Docker or other containerisation technologies. Knowledge of Snowflake and NoSQL databases such as MongoDB. Experience working with large-scale datasets and data transformation processes. Strong stakeholder engagement skills with the ability to work alongside technical users and engineering teams. Desirable Experience Experience within financial services. Exposure to front-office, quantitative research, trading, market data, pricing, risk or investment data environments. Experience developing high-performance data solutions in fast-paced organisations. This is an excellent opportunity to join a technically strong team delivering modern data engineering solutions within a challenging and rewarding environment. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
Jul 09, 2026
Contractor
Python Data Engineer 3-6 Months initial contract London/Hybrid - 1-2 days per week on site Negotiable rate (Inside IR35) We are seeking an experienced Python Data Engineer to join a high-performing data engineering team, building and enhancing centralised data services used by quantitative researchers, traders and front-office teams. The ideal candidate will have experience in Hedge funds, Asset management or Investment banks As well as a good understanding of Quant engineering/Quant data groups, Fixed income, rates, FX, macro, trading or pricing environments This is a hands-on engineering role focused on designing, developing and maintaining scalable data platforms, pipelines and services that deliver high-quality, validated investment data. You'll work closely with technical stakeholders to improve data quality, build reusable data capabilities and support business-critical analytics. Key Responsibilities Design, develop and enhance Python-based data services used by front-office and quantitative teams. Build scalable data pipelines and services to ingest, transform and deliver high-quality datasets. Develop robust data validation frameworks to improve the accuracy and reliability of derived data. Work closely with quantitative researchers, traders and engineering teams to understand data requirements and expected outputs. Cleanse, filter and validate raw datasets to ensure data quality before they are consumed by downstream users and applications. Support the centralisation of data services, reducing duplication and improving consistency across multiple data sources. Contribute to the design and implementation of scalable, reusable data architecture rather than tactical point solutions. Build and maintain APIs and data platforms capable of serving large-scale financial datasets. Take ownership of solutions throughout the full software development lifecycle, from design and development through testing, deployment and production support. Promote engineering best practices, including automated testing, version control and CI/CD. Deploy and maintain applications within cloud-native and containerised environments. Collaborate with cross-functional teams to continuously improve data platforms supporting pricing, risk, analytics and investment processes. Required Skills & Experience Strong commercial Python software engineering experience. Experience building scalable data services, APIs, data pipelines or data platforms. Solid software engineering practices including automated testing, Git and CI/CD. Experience working with cloud platforms, ideally AWS. Experience with Docker or other containerisation technologies. Knowledge of Snowflake and NoSQL databases such as MongoDB. Experience working with large-scale datasets and data transformation processes. Strong stakeholder engagement skills with the ability to work alongside technical users and engineering teams. Desirable Experience Experience within financial services. Exposure to front-office, quantitative research, trading, market data, pricing, risk or investment data environments. Experience developing high-performance data solutions in fast-paced organisations. This is an excellent opportunity to join a technically strong team delivering modern data engineering solutions within a challenging and rewarding environment. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
Developing cloud infrastructure to facilitate healthcare research London, remote or hybrid Use your AWS expertise to build secure and scalable cloud infrastructure that will facilitate research and development within the healthcare sector! This company's diagnostics visualisation platform allows medical researchers to visualise and analyse clinical data in order to develop new treatments that will massively improve the lives of patients. Key to this is the creation of secure multi-tenant and multi-region storage solution that allows swift and secure access to various types of data. Data security and integrity is of paramount importance, and the solution needs to be compliant with healthcare industry software standards. This role calls for strong AWS skills, rapid application development, and software development skills, a solid understanding of security aspects. You will also need excellent communication, collaboration, and organisational skills. Of prime importance is that you take a holistic, not just technical, view, and be proactive in reaching out to colleagues and clients to fully understand the product's requirements, stakeholders, and how it sits within the company's broader mission of creating world-leading software tools to further medical research. Reporting directly to the Technical Product Lead, you'll be contributing to product architecture, designing and implementing services, and data pipelines; developing automated testing and CI/CD infrastructure. You will need: A 1st or 2.1 in Computer Science, Engineering, or a similarly relevant discipline, and substantial commercial software engineering experience; to be au fait with Agile ceremonies, version control, and CI/CD, and software testing. Solid expertise in developing and deploying microservices on AWS; knowledge of Infrastructure-as-Code; DevOps, and experience with NoSQL databases. Demonstrably good coding skills, ideally in Java and / or Python; knowledge of RESTful APIs and service integration patterns and security frameworks such as OAuth 2.0 or OpenID Connect (OIDC). You must have full, existing, and unrestricted right to work in the UK. Not essential, but the following would be a bonus: Skills in containerisation/orchestration (Docker, Kubernetes etc.); IaC; DynamoDB; Spring Boot and Gradle; knowledge of standards such as ISO 13485 or IEC 62304. This role is predominantly remote, with occasional attendance of the company's London office - you will therefore need to be based in the UK within a convenient travel distance. The role features an excellent salary, benefits package, and an option scheme. This is a great chance to make your mark in a company focussed on improving people's lives. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27559 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
Jul 08, 2026
Full time
Developing cloud infrastructure to facilitate healthcare research London, remote or hybrid Use your AWS expertise to build secure and scalable cloud infrastructure that will facilitate research and development within the healthcare sector! This company's diagnostics visualisation platform allows medical researchers to visualise and analyse clinical data in order to develop new treatments that will massively improve the lives of patients. Key to this is the creation of secure multi-tenant and multi-region storage solution that allows swift and secure access to various types of data. Data security and integrity is of paramount importance, and the solution needs to be compliant with healthcare industry software standards. This role calls for strong AWS skills, rapid application development, and software development skills, a solid understanding of security aspects. You will also need excellent communication, collaboration, and organisational skills. Of prime importance is that you take a holistic, not just technical, view, and be proactive in reaching out to colleagues and clients to fully understand the product's requirements, stakeholders, and how it sits within the company's broader mission of creating world-leading software tools to further medical research. Reporting directly to the Technical Product Lead, you'll be contributing to product architecture, designing and implementing services, and data pipelines; developing automated testing and CI/CD infrastructure. You will need: A 1st or 2.1 in Computer Science, Engineering, or a similarly relevant discipline, and substantial commercial software engineering experience; to be au fait with Agile ceremonies, version control, and CI/CD, and software testing. Solid expertise in developing and deploying microservices on AWS; knowledge of Infrastructure-as-Code; DevOps, and experience with NoSQL databases. Demonstrably good coding skills, ideally in Java and / or Python; knowledge of RESTful APIs and service integration patterns and security frameworks such as OAuth 2.0 or OpenID Connect (OIDC). You must have full, existing, and unrestricted right to work in the UK. Not essential, but the following would be a bonus: Skills in containerisation/orchestration (Docker, Kubernetes etc.); IaC; DynamoDB; Spring Boot and Gradle; knowledge of standards such as ISO 13485 or IEC 62304. This role is predominantly remote, with occasional attendance of the company's London office - you will therefore need to be based in the UK within a convenient travel distance. The role features an excellent salary, benefits package, and an option scheme. This is a great chance to make your mark in a company focussed on improving people's lives. Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call ecm or email your CV. We will always ask before forwarding your CV. Please apply (quoting ref: CV27559 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION Join our product design team and help deliver the next generation of digital product experiences for JPMorganChase's Global Banking organization . As a Product Design Lead , you will be responsible for products that deliver high-value enterprise capabilities across multiple business functions. You'll work in a collaborative and dynamic environment, partnering closely with product, engineering, and data science teams to create elegant solutions for highly complex business problems. The products you craft will be forward-thinking, refined, usable, and relevant to the organization's holistic end-to-end value streams. Job Responsibilities: Lead product design initiatives, developing a deep understanding of the problem space, business needs, and user goals to achieve positive outcomes Build strong relationships with multidisciplinary teams across local and global locations - including designers, product managers, engineers, data scientists, researchers, users, and finance SMEs. Collaborate on generative and evaluative research studies Create concepts, prototypes, storyboards, and presentations to communicate product vision Define detailed designs and specifications for complex workflows and interactions Enhance and leverage the organization's design system for cohesive experiences Demonstrate thought leadership in best practices and quality improvement Required Qualifications, Capabilities, and Skills: Experience working with complex data across multiple platforms (websites, mobile apps, products) Ability to communicate abstract design concepts visually and verbally using storytelling Experience designing digital products and services for enterprise solutions Proficiency in methodologies for concepting, storyboarding, and prototyping Experience applying design systems such as Google's Material Design Bachelor's degree or higher in UX Design, Product Design, Interaction Design, Service Design, Visual Design, Human-Computer Interaction, or related fields Portfolio and case studies demonstrating design experience (link(s) required in resume) Preferred Qualifications, Capabilities, and Skills: Experience designing AI-enabled solutions and incorporating artificial intelligence into your process Familiarity with financial terminology Knowledge of Americans with Disabilities Act Standards for Accessible Design and WCAG Working knowledge of HTML, CSS, and JavaScript ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM J.P. Morgan's Global Banking business is one of the largest wholesale banking client franchises in the world. We serve clients, including corporations, governments, states, municipalities, healthcare organizations, education institutions, banks and investors. Global Investment Banking supports a broad range of corporations, institutions and governments by providing strategic advice, capital raising and risk management expertise.
Jul 08, 2026
Full time
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION Join our product design team and help deliver the next generation of digital product experiences for JPMorganChase's Global Banking organization . As a Product Design Lead , you will be responsible for products that deliver high-value enterprise capabilities across multiple business functions. You'll work in a collaborative and dynamic environment, partnering closely with product, engineering, and data science teams to create elegant solutions for highly complex business problems. The products you craft will be forward-thinking, refined, usable, and relevant to the organization's holistic end-to-end value streams. Job Responsibilities: Lead product design initiatives, developing a deep understanding of the problem space, business needs, and user goals to achieve positive outcomes Build strong relationships with multidisciplinary teams across local and global locations - including designers, product managers, engineers, data scientists, researchers, users, and finance SMEs. Collaborate on generative and evaluative research studies Create concepts, prototypes, storyboards, and presentations to communicate product vision Define detailed designs and specifications for complex workflows and interactions Enhance and leverage the organization's design system for cohesive experiences Demonstrate thought leadership in best practices and quality improvement Required Qualifications, Capabilities, and Skills: Experience working with complex data across multiple platforms (websites, mobile apps, products) Ability to communicate abstract design concepts visually and verbally using storytelling Experience designing digital products and services for enterprise solutions Proficiency in methodologies for concepting, storyboarding, and prototyping Experience applying design systems such as Google's Material Design Bachelor's degree or higher in UX Design, Product Design, Interaction Design, Service Design, Visual Design, Human-Computer Interaction, or related fields Portfolio and case studies demonstrating design experience (link(s) required in resume) Preferred Qualifications, Capabilities, and Skills: Experience designing AI-enabled solutions and incorporating artificial intelligence into your process Familiarity with financial terminology Knowledge of Americans with Disabilities Act Standards for Accessible Design and WCAG Working knowledge of HTML, CSS, and JavaScript ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM J.P. Morgan's Global Banking business is one of the largest wholesale banking client franchises in the world. We serve clients, including corporations, governments, states, municipalities, healthcare organizations, education institutions, banks and investors. Global Investment Banking supports a broad range of corporations, institutions and governments by providing strategic advice, capital raising and risk management expertise.
Senior Laboratory Engineer London Competitive Salary Our client is an ambitious start-up looking to utilise AI within the field of Materials Science to help advance cutting-edge technology in this area. This is a one-of-a-kind opportunity to join their small dynamic team in the early stages as they set-up and develop their research laboratory in London. You'll work closely with material scientists, computational and AI teams, ensuring that experimental throughput and data quality can keep pace with requirements. This is a hands-on, senior role with real ownership. You will be joining a small, highly ambitious team of world-renowned engineers, AI researchers, and materials scientists. We move fast and value people who are energised by that. Key areas: Own lab throughput and operational reliability across synthesis, sample preparation, characterisation and data capture workflows; identify bottlenecks, reduce downtime, improve instrument utilisation, and increase the number of high-quality experiments the lab can run per week. Develop and maintain preventive maintenance schedules, SOPs, and risk assessments for all equipment. Diagnose and resolve complex equipment failures (vacuum leaks, electronic faults, mechanical misalignment), minimising downtime. Design and run synthesis and characterisation experiments in collaboration with materials scientists, ensuring reproducibility and data integrity. Onboard and mentor junior lab staff on instrument operation, maintenance practices, and safety. Evaluate, procure, and commission new equipment and consumables as our lab capabilities expand. Liaise with vendors and service engineers on repairs, calibrations, and upgrades. Support the integration of experimental outputs into automated data pipelines feeding the AI platform. Support the automation of lab equipment to ensure experimental throughput and data quality can keep pace with requirements. Candidate: Relevant educational background in materials science, physics, engineering or related. Substantial hands-on experience maintaining and troubleshooting research-grade laboratory equipment in a professional setting. Experience improving throughput, uptime, turnaround time or reliability in an instrument heavy lab, pilot line, semiconductor fab, analytical testing facility, manufacturing environment or similar setting. Practical expertise across our instrument suite or a closely related set: High-vacuum equipment. Scanning electron microscopy (SEM). Optical characterisation. X-ray diffraction (XRD). High-field magnets. High-temperature metallurgical synthesis. Strong vacuum systems knowledge: pump maintenance, leak detection, RGA, bakeout procedures. Ability to perform component-level diagnostics and repairs, vacuum, electronic, and mechanical, without waiting for factory service representatives. Familiarity with ionising radiation safety regulations and relevant local licensing requirements. Rigorous approach to documentation: SOPs, maintenance logs and data provenance. Some CAD experience for fixture design and lab modifications. Nice to Have! Experience integrating instruments with automated data capture or laboratory management systems. Python or scripting experience for instrument control, automation or data processing.
Jul 08, 2026
Full time
Senior Laboratory Engineer London Competitive Salary Our client is an ambitious start-up looking to utilise AI within the field of Materials Science to help advance cutting-edge technology in this area. This is a one-of-a-kind opportunity to join their small dynamic team in the early stages as they set-up and develop their research laboratory in London. You'll work closely with material scientists, computational and AI teams, ensuring that experimental throughput and data quality can keep pace with requirements. This is a hands-on, senior role with real ownership. You will be joining a small, highly ambitious team of world-renowned engineers, AI researchers, and materials scientists. We move fast and value people who are energised by that. Key areas: Own lab throughput and operational reliability across synthesis, sample preparation, characterisation and data capture workflows; identify bottlenecks, reduce downtime, improve instrument utilisation, and increase the number of high-quality experiments the lab can run per week. Develop and maintain preventive maintenance schedules, SOPs, and risk assessments for all equipment. Diagnose and resolve complex equipment failures (vacuum leaks, electronic faults, mechanical misalignment), minimising downtime. Design and run synthesis and characterisation experiments in collaboration with materials scientists, ensuring reproducibility and data integrity. Onboard and mentor junior lab staff on instrument operation, maintenance practices, and safety. Evaluate, procure, and commission new equipment and consumables as our lab capabilities expand. Liaise with vendors and service engineers on repairs, calibrations, and upgrades. Support the integration of experimental outputs into automated data pipelines feeding the AI platform. Support the automation of lab equipment to ensure experimental throughput and data quality can keep pace with requirements. Candidate: Relevant educational background in materials science, physics, engineering or related. Substantial hands-on experience maintaining and troubleshooting research-grade laboratory equipment in a professional setting. Experience improving throughput, uptime, turnaround time or reliability in an instrument heavy lab, pilot line, semiconductor fab, analytical testing facility, manufacturing environment or similar setting. Practical expertise across our instrument suite or a closely related set: High-vacuum equipment. Scanning electron microscopy (SEM). Optical characterisation. X-ray diffraction (XRD). High-field magnets. High-temperature metallurgical synthesis. Strong vacuum systems knowledge: pump maintenance, leak detection, RGA, bakeout procedures. Ability to perform component-level diagnostics and repairs, vacuum, electronic, and mechanical, without waiting for factory service representatives. Familiarity with ionising radiation safety regulations and relevant local licensing requirements. Rigorous approach to documentation: SOPs, maintenance logs and data provenance. Some CAD experience for fixture design and lab modifications. Nice to Have! Experience integrating instruments with automated data capture or laboratory management systems. Python or scripting experience for instrument control, automation or data processing.
Some roles keep systems running. Others help power discoveries that can genuinely change lives. We're working with one of Europe's leading biomedical research institutes to find a Lead HPC Engineer who wants to play a key role in supporting world-class science. Behind every breakthrough is an enormous amount of data, compute power and technical expertise, and that's where this team comes in. This is a chance to take ownership of a sophisticated HPC and storage environment that sits at the heart of a hugely ambitious research programme. You'll work closely with scientists, researchers and technology teams to ensure critical platforms remain reliable, scalable and ready for whatever comes next. It's a role with plenty of variety. One day you might be helping shape the future direction of the HPC environment, the next you're guiding the team through a complex technical challenge, improving services for users, or working directly with researchers to understand what's needed to support the next phase of their work. Alongside the technical side, you'll also play an important leadership role. You'll help drive best practice, support colleagues, oversee operational delivery and act as a key point of contact across the organisation. This isn't simply about keeping the lights on; it's about helping build and evolve services that enable exceptional research. We're looking for someone with experience working in HPC environments and large-scale infrastructure who enjoys solving problems, working with people and taking ownership. You'll be technically strong, comfortable navigating competing priorities and able to communicate effectively with both technical and non-technical audiences. Experience within research, higher education or scientific environments would be beneficial, but it isn't essential. Curiosity, collaboration and a genuine interest in supporting meaningful work are just as important. In return, you'll join an organisation known not only for its scientific impact, but also for its culture. It's a place filled with intelligent, passionate and approachable people who care deeply about what they do. You'll have the opportunity to work with cutting-edge technologies, contribute to research with real-world impact and help shape services that are central to the organisation's success. If you're looking for a role where technical excellence, purpose and influence come together, we'd love to tell you more.
Jul 08, 2026
Contractor
Some roles keep systems running. Others help power discoveries that can genuinely change lives. We're working with one of Europe's leading biomedical research institutes to find a Lead HPC Engineer who wants to play a key role in supporting world-class science. Behind every breakthrough is an enormous amount of data, compute power and technical expertise, and that's where this team comes in. This is a chance to take ownership of a sophisticated HPC and storage environment that sits at the heart of a hugely ambitious research programme. You'll work closely with scientists, researchers and technology teams to ensure critical platforms remain reliable, scalable and ready for whatever comes next. It's a role with plenty of variety. One day you might be helping shape the future direction of the HPC environment, the next you're guiding the team through a complex technical challenge, improving services for users, or working directly with researchers to understand what's needed to support the next phase of their work. Alongside the technical side, you'll also play an important leadership role. You'll help drive best practice, support colleagues, oversee operational delivery and act as a key point of contact across the organisation. This isn't simply about keeping the lights on; it's about helping build and evolve services that enable exceptional research. We're looking for someone with experience working in HPC environments and large-scale infrastructure who enjoys solving problems, working with people and taking ownership. You'll be technically strong, comfortable navigating competing priorities and able to communicate effectively with both technical and non-technical audiences. Experience within research, higher education or scientific environments would be beneficial, but it isn't essential. Curiosity, collaboration and a genuine interest in supporting meaningful work are just as important. In return, you'll join an organisation known not only for its scientific impact, but also for its culture. It's a place filled with intelligent, passionate and approachable people who care deeply about what they do. You'll have the opportunity to work with cutting-edge technologies, contribute to research with real-world impact and help shape services that are central to the organisation's success. If you're looking for a role where technical excellence, purpose and influence come together, we'd love to tell you more.
Role Overview A leading biotech organization is transforming its approach to early-stage drug discovery by embracing computational methods to accelerate innovation. They're seeking a strategic, technically fluent Product Manager to lead the development of in silico tools that predict molecular structures and protein interactions-replacing slow, costly lab-based experimentation with scalable digital-first solutions. This role sits at the intersection of science, technology, and product strategy. You'll drive initiatives that integrate AI, machine learning, and high-throughput modelling to reshape how promising compounds are identified-delivering faster cycles, reduced R&D costs, and greater agility in responding to emerging health threats. Key Responsibilities Define and own the product vision for the computational drug discovery platform Collaborate with cross-functional teams (Tech, R&D, Science & Lab) across the US, UK, Germany, and India to align on goals and execution Translate scientific challenges into scalable product solutions using AI, ML, and simulation tools Prioritize features and roadmap based on impact, feasibility, and strategic alignment Champion a product-led mindset across scientific and technical domains Ensure seamless communication between technical teams and scientific stakeholders Monitor performance, adoption, and scientific outcomes to iterate and improve What You'll Bring Proven experience in Product Management, ideally in biotech, pharma, or health tech Ability to communicate fluently with both technical engineers and scientific researchers Strategic mindset with a bias for action and experimentation Location Hook, UK Rate/Salary .00 GBP Daily Trading as TEKsystems. Allegis Group Limited, Bracknell, RG12 1RT, United Kingdom. No Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at our website. To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go our website. We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice on our website for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.
Oct 08, 2025
Contractor
Role Overview A leading biotech organization is transforming its approach to early-stage drug discovery by embracing computational methods to accelerate innovation. They're seeking a strategic, technically fluent Product Manager to lead the development of in silico tools that predict molecular structures and protein interactions-replacing slow, costly lab-based experimentation with scalable digital-first solutions. This role sits at the intersection of science, technology, and product strategy. You'll drive initiatives that integrate AI, machine learning, and high-throughput modelling to reshape how promising compounds are identified-delivering faster cycles, reduced R&D costs, and greater agility in responding to emerging health threats. Key Responsibilities Define and own the product vision for the computational drug discovery platform Collaborate with cross-functional teams (Tech, R&D, Science & Lab) across the US, UK, Germany, and India to align on goals and execution Translate scientific challenges into scalable product solutions using AI, ML, and simulation tools Prioritize features and roadmap based on impact, feasibility, and strategic alignment Champion a product-led mindset across scientific and technical domains Ensure seamless communication between technical teams and scientific stakeholders Monitor performance, adoption, and scientific outcomes to iterate and improve What You'll Bring Proven experience in Product Management, ideally in biotech, pharma, or health tech Ability to communicate fluently with both technical engineers and scientific researchers Strategic mindset with a bias for action and experimentation Location Hook, UK Rate/Salary .00 GBP Daily Trading as TEKsystems. Allegis Group Limited, Bracknell, RG12 1RT, United Kingdom. No Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at our website. To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go our website. We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice on our website for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.
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. 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 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. 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: .
