Data Scientist - Operational Modelling & Simulation Location: Middlesex - Hybrid (3 days onsite, 2 days from home) Salary: 40,000 - 45,000 dependent on experience Ref: J13156 A global technology organisation is seeking a Data Scientist who wants to apply machine learning, simulation and advanced analytics to solve real-world operational challenges. This isn't a role where your work disappears into reports. This is an opportunity to work with large-scale operational datasets and develop models that help improve forecasting, planning and decision-making in a high-volume operational environment. You'll work on complex problems where your analysis has a genuine purpose, developing predictive models, identifying constraints and building simulation tools that help answer important what if? questions around future demand and performance. This is a role where you'll be trusted to take ownership of your work; understanding complex problems, selecting the right approach, validating your results and clearly explaining the reasoning behind your recommendations. You won't just be producing outputs. You'll be expected to understand how you got there, why the approach was right and how your insights support operational decision-making, while continuing to develop your technical capability in a complex real-world environment. You'll be involved in: Developing machine learning models to improve forecasting and operational planning Applying time-series analysis and feature engineering techniques across large datasets Building and improving discrete event simulation models to test different scenarios Identifying trends, patterns and potential operational constraints Translating technical analysis into clear insight and recommendations Experience required: Applied machine learning and statistical modelling Forecasting, simulation, optimisation or operational research techniques R programming (Python experience beneficial) SQL and working with large datasets Ability to explain technical findings clearly to different audiences A background within transport, logistics, aviation, engineering, manufacturing, supply chain or similar operational environments would be highly advantageous. This would suit a Data Scientist who enjoys modelling how things work, testing scenarios and seeing their work influence real-world decisions. Apply now or get in touch for more information. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Jul 11, 2026
Full time
Data Scientist - Operational Modelling & Simulation Location: Middlesex - Hybrid (3 days onsite, 2 days from home) Salary: 40,000 - 45,000 dependent on experience Ref: J13156 A global technology organisation is seeking a Data Scientist who wants to apply machine learning, simulation and advanced analytics to solve real-world operational challenges. This isn't a role where your work disappears into reports. This is an opportunity to work with large-scale operational datasets and develop models that help improve forecasting, planning and decision-making in a high-volume operational environment. You'll work on complex problems where your analysis has a genuine purpose, developing predictive models, identifying constraints and building simulation tools that help answer important what if? questions around future demand and performance. This is a role where you'll be trusted to take ownership of your work; understanding complex problems, selecting the right approach, validating your results and clearly explaining the reasoning behind your recommendations. You won't just be producing outputs. You'll be expected to understand how you got there, why the approach was right and how your insights support operational decision-making, while continuing to develop your technical capability in a complex real-world environment. You'll be involved in: Developing machine learning models to improve forecasting and operational planning Applying time-series analysis and feature engineering techniques across large datasets Building and improving discrete event simulation models to test different scenarios Identifying trends, patterns and potential operational constraints Translating technical analysis into clear insight and recommendations Experience required: Applied machine learning and statistical modelling Forecasting, simulation, optimisation or operational research techniques R programming (Python experience beneficial) SQL and working with large datasets Ability to explain technical findings clearly to different audiences A background within transport, logistics, aviation, engineering, manufacturing, supply chain or similar operational environments would be highly advantageous. This would suit a Data Scientist who enjoys modelling how things work, testing scenarios and seeing their work influence real-world decisions. Apply now or get in touch for more information. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
RF Systems Engineer Porton Down - Permanent Perm - On-site £40000 - £60000 25 days annual leave inclusive of up to 3 days Christmas shutdown Buy or sell up to 5 days annual leave Annual Wellbeing allowance Two pension schemes to choose from Private Medical Insurance + discounts for additional family members Life Assurance scheme up to 4 x salary Share Save scheme Electric/Hybrid Car leasing scheme Cycle to work scheme Retail discounts Career development support Come and join our expanding Electronic Warfare Operations Support Group (EWOS) which is made up of 60+ electronic warfare specialists. From all manner of backgrounds, our engineers, scientists, and ex-military personnel combine their experience to help our customers achieve the true operational potential and help keep their people and platforms safe. We are continuing to grow our team at Porton Down, Salisbury, working on key state-of-the-art research, development, and delivery projects, led by our technical customer, Dstl. The primary role is to support testing and optimisation of RF receiver hardware in a new synthetic range (laboratory), with additional support to over-the-air testing (anechoic chamber) and field trials. This will require using a range of RF test equipment to perform digital and analogue injection testing within synthetic EW scenarios. This role will allow autonomy to explore ways to optimise RF receiver performance through configurable memory (mission data) to improve real-world operation of the system when deployed to target platforms. This exploratory process will focus on the increasingly congested and contested electromagnetic environment, developing tactics, techniques, and procedures (TTP) for the RF receiver. To accurately represent the synthetic use cases these systems are required to integrate into, the role will liaise with military, academia, industry and international stakeholders, to complete the validation process. This new lab will be using the latest commercial-off-the-shelf (COTS) development Radio Frequency System on Chip (RFSoC) boards to achieve a high-fidelity electromagnetic environment. You will become and expert in configuring and calibrating these devices to aid testing of the RF receiver systems. This role also has influence over future development work, driving requirements through analysis of current EW systems. As such and understanding of requirements generation and the engineering lifecycle will be valuable to the role. Working autonomously with unprecedented access to the customer, you will be crucial to ensure the success of these key projects, all whilst being supported by our on-site and home-site MASS teams. The invaluable experience you ll bring, to help us achieve more. Essential: Ability to work autonomously to optimise complex EW system performance. Understanding of RF sensor systems and Test & Evaluation (T&E) practices. Proficient with RF test equipment (signal generators, oscilloscopes, and spectrum analysers). Experience calibrating hardware and software models into a laboratory environment. STEM Degree or extensive experience with RF Electronics. Desirable: Experience creating scripts/programmes (MATLAB, Python, or similar). Strong background in EW systems and concepts, including radar systems. Experience across the engineering lifecycle (Requirements, V&V, Acceptance). Understanding of Analogue & Digital Signal Processing techniques. Wellbeing is at the core to our culture, allowing employees to flourish and to achieve their full potential. Our people are important to us, and we take pride in our wellbeing programmes and policies that support individuals including, mental health first aiders and readily available support through our extensive employee assistance programme Our non-negotiables: Due to the highly secure nature of the projects that you will be involved with, you must be: A UK National and eligible to work in the UK Eligible to obtain and maintain a UK Government SC-level security clearance Apply today to see how working for MASS could work for you!
Jul 10, 2026
Full time
RF Systems Engineer Porton Down - Permanent Perm - On-site £40000 - £60000 25 days annual leave inclusive of up to 3 days Christmas shutdown Buy or sell up to 5 days annual leave Annual Wellbeing allowance Two pension schemes to choose from Private Medical Insurance + discounts for additional family members Life Assurance scheme up to 4 x salary Share Save scheme Electric/Hybrid Car leasing scheme Cycle to work scheme Retail discounts Career development support Come and join our expanding Electronic Warfare Operations Support Group (EWOS) which is made up of 60+ electronic warfare specialists. From all manner of backgrounds, our engineers, scientists, and ex-military personnel combine their experience to help our customers achieve the true operational potential and help keep their people and platforms safe. We are continuing to grow our team at Porton Down, Salisbury, working on key state-of-the-art research, development, and delivery projects, led by our technical customer, Dstl. The primary role is to support testing and optimisation of RF receiver hardware in a new synthetic range (laboratory), with additional support to over-the-air testing (anechoic chamber) and field trials. This will require using a range of RF test equipment to perform digital and analogue injection testing within synthetic EW scenarios. This role will allow autonomy to explore ways to optimise RF receiver performance through configurable memory (mission data) to improve real-world operation of the system when deployed to target platforms. This exploratory process will focus on the increasingly congested and contested electromagnetic environment, developing tactics, techniques, and procedures (TTP) for the RF receiver. To accurately represent the synthetic use cases these systems are required to integrate into, the role will liaise with military, academia, industry and international stakeholders, to complete the validation process. This new lab will be using the latest commercial-off-the-shelf (COTS) development Radio Frequency System on Chip (RFSoC) boards to achieve a high-fidelity electromagnetic environment. You will become and expert in configuring and calibrating these devices to aid testing of the RF receiver systems. This role also has influence over future development work, driving requirements through analysis of current EW systems. As such and understanding of requirements generation and the engineering lifecycle will be valuable to the role. Working autonomously with unprecedented access to the customer, you will be crucial to ensure the success of these key projects, all whilst being supported by our on-site and home-site MASS teams. The invaluable experience you ll bring, to help us achieve more. Essential: Ability to work autonomously to optimise complex EW system performance. Understanding of RF sensor systems and Test & Evaluation (T&E) practices. Proficient with RF test equipment (signal generators, oscilloscopes, and spectrum analysers). Experience calibrating hardware and software models into a laboratory environment. STEM Degree or extensive experience with RF Electronics. Desirable: Experience creating scripts/programmes (MATLAB, Python, or similar). Strong background in EW systems and concepts, including radar systems. Experience across the engineering lifecycle (Requirements, V&V, Acceptance). Understanding of Analogue & Digital Signal Processing techniques. Wellbeing is at the core to our culture, allowing employees to flourish and to achieve their full potential. Our people are important to us, and we take pride in our wellbeing programmes and policies that support individuals including, mental health first aiders and readily available support through our extensive employee assistance programme Our non-negotiables: Due to the highly secure nature of the projects that you will be involved with, you must be: A UK National and eligible to work in the UK Eligible to obtain and maintain a UK Government SC-level security clearance Apply today to see how working for MASS could work for you!
Urgent Contract AI Service Designer (2B) - Active Security Cleared Role Purpose The AI Service Designer is responsible for designing end-to-end services that leverage data, AI, and automation to improve outcomes for consumers, and market participants. The role focuses on understanding user and organisational needs, shaping AI-enabled services, and ensuring solutions are usable, ethical, and aligned to Ofgem's Responsible AI and Digital strategies. Key Responsibilities Lead the design of AI-enabled services from discovery through to live, ensuring they meet user needs and business outcomes Map current and future service journeys, identifying opportunities to embed AI, automation, and data-driven decision-making Conduct user research and translate insights into service designs, prototypes, and design artefacts Identify where AI can improve service efficiency, quality, or customer experience Work with data scientists, engineers, and product teams to embed AI solutions into operational services Embed Responsible AI principles including fairness, transparency, and accountability into service design Collaborate within multidisciplinary teams and support agile delivery Define service performance metrics and continuously improve services using data and feedback Essential Skills & Experience Strong experience designing end-to-end services in complex organisations Skilled in service design methods such as journey mapping and service blueprints Understanding of AI, data, and automation capabilities and limitations Strong stakeholder engagement and communication skills Experience working in agile, multidisciplinary environments Understanding of Responsible AI and ethical considerations Desirable Skills Experience with generative AI or Copilot-style tools Public sector or regulatory experience Knowledge of accessibility and inclusive design Experience with service performance measurement Behaviours User-focused and outcome-driven Collaborative and inclusive Evidence-based and analytical Adaptable in emerging technology environments Committed to Responsible AI principles Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates
Jul 09, 2026
Contractor
Urgent Contract AI Service Designer (2B) - Active Security Cleared Role Purpose The AI Service Designer is responsible for designing end-to-end services that leverage data, AI, and automation to improve outcomes for consumers, and market participants. The role focuses on understanding user and organisational needs, shaping AI-enabled services, and ensuring solutions are usable, ethical, and aligned to Ofgem's Responsible AI and Digital strategies. Key Responsibilities Lead the design of AI-enabled services from discovery through to live, ensuring they meet user needs and business outcomes Map current and future service journeys, identifying opportunities to embed AI, automation, and data-driven decision-making Conduct user research and translate insights into service designs, prototypes, and design artefacts Identify where AI can improve service efficiency, quality, or customer experience Work with data scientists, engineers, and product teams to embed AI solutions into operational services Embed Responsible AI principles including fairness, transparency, and accountability into service design Collaborate within multidisciplinary teams and support agile delivery Define service performance metrics and continuously improve services using data and feedback Essential Skills & Experience Strong experience designing end-to-end services in complex organisations Skilled in service design methods such as journey mapping and service blueprints Understanding of AI, data, and automation capabilities and limitations Strong stakeholder engagement and communication skills Experience working in agile, multidisciplinary environments Understanding of Responsible AI and ethical considerations Desirable Skills Experience with generative AI or Copilot-style tools Public sector or regulatory experience Knowledge of accessibility and inclusive design Experience with service performance measurement Behaviours User-focused and outcome-driven Collaborative and inclusive Evidence-based and analytical Adaptable in emerging technology environments Committed to Responsible AI principles Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION As an Applied AI / ML Lead - Vice President - Machine Learning Engineer at JPMorgan Infrastructure Platform, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Generative AI, Agentic AI, and statistical machine learning to revolutionize cloud migration. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI - powered products and services and increasing opportunity for re-use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. The role is initially that of an individual contributor. Job responsibilities: Lead the deployment and scaling of advanced generative AI, agentic AI, and classical ML solutions. Design and execute enterprise-wide, reusable AI/ML frameworks and core infrastructure to accelerate AI solution development. Design and develop multi-agent systems for orchestration, agent-to-agent communication, eval, memory, telemetry, and guardrails. Apply context and prompt engineering techniques to improve prompt-based model performance. Develop and maintain tools and frameworks for prompt-based agent evaluation, monitoring, and optimization at enterprise scale. Build and maintain data pipelines and processing workflows for scalable, efficient data consumption. Write secure, high-quality production code and conduct code reviews. Partner with Engineering, Product, and Business teams to identify requirements and develop solutions. Communicate technical concepts and results to both technical and non-technical stakeholders, including senior leadership. Provide technical leadership, mentorship, and guidance to junior engineers, promoting a culture of excellence and continuous learning. Required qualifications, capabilities, and skills: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. Experience in machine learning engineering. Strong proficiency in Python and experience deploying end-to-end pipelines on AWS. Hands-on experience in system design, application development, testing, and operational stability. Preferred qualifications, capabilities, and skills: Strategic thinker with the ability to drive technical vision for business impact. Demonstrated leadership working with engineers, data scientists, and ML practitioners. Experience in customising and optimizing Github Copilot using VSCode Extension or Model Context Protocol (MCP) Experience with AWS and infrastructure-as-code tools such as Terraform. Experience in multi-agent orchestration. Familiarity with MLOps practices, including CI/CD for ML, model monitoring, automated deployment, and ML pipelines. Experience with agentic telemetry and evaluation services. 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 Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Jul 08, 2026
Full time
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. JOB DESCRIPTION As an Applied AI / ML Lead - Vice President - Machine Learning Engineer at JPMorgan Infrastructure Platform, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Generative AI, Agentic AI, and statistical machine learning to revolutionize cloud migration. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI - powered products and services and increasing opportunity for re-use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. The role is initially that of an individual contributor. Job responsibilities: Lead the deployment and scaling of advanced generative AI, agentic AI, and classical ML solutions. Design and execute enterprise-wide, reusable AI/ML frameworks and core infrastructure to accelerate AI solution development. Design and develop multi-agent systems for orchestration, agent-to-agent communication, eval, memory, telemetry, and guardrails. Apply context and prompt engineering techniques to improve prompt-based model performance. Develop and maintain tools and frameworks for prompt-based agent evaluation, monitoring, and optimization at enterprise scale. Build and maintain data pipelines and processing workflows for scalable, efficient data consumption. Write secure, high-quality production code and conduct code reviews. Partner with Engineering, Product, and Business teams to identify requirements and develop solutions. Communicate technical concepts and results to both technical and non-technical stakeholders, including senior leadership. Provide technical leadership, mentorship, and guidance to junior engineers, promoting a culture of excellence and continuous learning. Required qualifications, capabilities, and skills: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. Experience in machine learning engineering. Strong proficiency in Python and experience deploying end-to-end pipelines on AWS. Hands-on experience in system design, application development, testing, and operational stability. Preferred qualifications, capabilities, and skills: Strategic thinker with the ability to drive technical vision for business impact. Demonstrated leadership working with engineers, data scientists, and ML practitioners. Experience in customising and optimizing Github Copilot using VSCode Extension or Model Context Protocol (MCP) Experience with AWS and infrastructure-as-code tools such as Terraform. Experience in multi-agent orchestration. Familiarity with MLOps practices, including CI/CD for ML, model monitoring, automated deployment, and ML pipelines. Experience with agentic telemetry and evaluation services. 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 Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
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.
CK Group- Science, Clinical and Technical
Oxford, Oxfordshire
CK Group are recruiting for a Head of Lab Systems - LIMS , to join a growing and exciting research facility in Oxford, on a permanent basis. This role will be fully on-site and requires the successful candidate to come from both a science and laboratory automation background, as this role has both IT and laboratory crossovers. The Company: A research-driven organisation led by talented scientists and entrepreneurs, dedicated to creating sustainable solutions for global challenges through interdisciplinary collaboration. This exciting new campus will feature state of art R&D facility, specialised laboratories, oncology clinics and focus on bridging scientific discovery with real-world applications by integrating expertise from various fields, including biomedical science, engineering, and public health. Location: Oxford The Role: A key leadership role, the successful candidate will lead the design, implementation and maintenance of the laboratory technology and infrastructure (including data systems, networks, and digital platforms). You will drive the engineering strategy, optimise lab processes fostering a culture of operational excellence and continuous improvement. Responsibilities: Design and deliver advanced laboratory technology, IT systems, and engineering solutions Oversee the planning, implementation, and maintenance of laboratory IT infrastructure (data systems, networks, and digital platforms etc) Partner with research leaders, IT, and external vendors to deliver scalable and future-ready lab technology and infrastructure solutions. Identify emerging lab technologies and IT innovations Ensure the maintenance, calibration, and lifecycle management of laboratory equipment and technology Ensure laboratory systems meet all regulatory, health, safety, and data security standards. Your Background: PhD or a Degree in relevant field - i.e. Science, IT or Engineering. Successful track record in LIMS implementation (laboratory information management systems) - ESSENTIAL Significant experience managing laboratory operations, engineering systems, and IT infrastructure in a research environment. Laboratory automation specialist knowledge - ESSENTIAL Understanding of regulatory compliance (e.g., GLP, ISO standards) in laboratory environments. Proven skills in leadership and managing infrastructure projects. Experience with cybersecurity protocols and vendor relationships. Benefits Competitive salary plus 20% bonus Travel allowance Pension and Private Health Laptop (Macbook or Windows) Wellbeing support Life Insurance Health cash plan Apply : It is essential that applicants hold entitlement to work in the UK. Please quote job reference (Apply online only) in all correspondence. If this position isn't suitable but you are looking for a new role, or if you are interested in seeing what opportunities are out there, head over to our LinkedIn page (cka-group) and follow us to see our latest jobs and company news. INDCP
Oct 06, 2025
Full time
CK Group are recruiting for a Head of Lab Systems - LIMS , to join a growing and exciting research facility in Oxford, on a permanent basis. This role will be fully on-site and requires the successful candidate to come from both a science and laboratory automation background, as this role has both IT and laboratory crossovers. The Company: A research-driven organisation led by talented scientists and entrepreneurs, dedicated to creating sustainable solutions for global challenges through interdisciplinary collaboration. This exciting new campus will feature state of art R&D facility, specialised laboratories, oncology clinics and focus on bridging scientific discovery with real-world applications by integrating expertise from various fields, including biomedical science, engineering, and public health. Location: Oxford The Role: A key leadership role, the successful candidate will lead the design, implementation and maintenance of the laboratory technology and infrastructure (including data systems, networks, and digital platforms). You will drive the engineering strategy, optimise lab processes fostering a culture of operational excellence and continuous improvement. Responsibilities: Design and deliver advanced laboratory technology, IT systems, and engineering solutions Oversee the planning, implementation, and maintenance of laboratory IT infrastructure (data systems, networks, and digital platforms etc) Partner with research leaders, IT, and external vendors to deliver scalable and future-ready lab technology and infrastructure solutions. Identify emerging lab technologies and IT innovations Ensure the maintenance, calibration, and lifecycle management of laboratory equipment and technology Ensure laboratory systems meet all regulatory, health, safety, and data security standards. Your Background: PhD or a Degree in relevant field - i.e. Science, IT or Engineering. Successful track record in LIMS implementation (laboratory information management systems) - ESSENTIAL Significant experience managing laboratory operations, engineering systems, and IT infrastructure in a research environment. Laboratory automation specialist knowledge - ESSENTIAL Understanding of regulatory compliance (e.g., GLP, ISO standards) in laboratory environments. Proven skills in leadership and managing infrastructure projects. Experience with cybersecurity protocols and vendor relationships. Benefits Competitive salary plus 20% bonus Travel allowance Pension and Private Health Laptop (Macbook or Windows) Wellbeing support Life Insurance Health cash plan Apply : It is essential that applicants hold entitlement to work in the UK. Please quote job reference (Apply online only) in all correspondence. If this position isn't suitable but you are looking for a new role, or if you are interested in seeing what opportunities are out there, head over to our LinkedIn page (cka-group) and follow us to see our latest jobs and company news. INDCP
The Position: The R&D Data Excellence Lead drives the vision, strategy, and execution of data excellence across the R&D organization. This role ensures that data is standardized, governed, and leveraged for advanced insights across scientific, clinical, safety, and regulatory domains. The role serves as a strategic advisor to R&D leadership, overseeing enterprise-aligned data infrastructure, data architecture, and standards to accelerate discovery, development, and decision-making. The role partners closely with enterprise I&T to ensure all data initiatives are scalable, compliant, and interoperable. Responsibilities: Define and execute the R&D-wide data and analytics strategy aligned to R&D 2.0 transformation goals and PD&C objectives Serve as a strategic advisor to R&D leadership on opportunities to improve pipeline productivity and operational efficiency using data Establish and govern data standards, metadata management, lineage, and ontologies across R&D domains Ensure compliance with enterprise data governance and facilitate its application across R&D data sets Partner with I&T to design and maintain scalable, secure, and interoperable data platforms Enable integration of diverse data types including clinical, real-world data, omics, imaging, and digital biomarkers Collaborate with Digital Business Partners and Analytics teams to ensure data readiness and accessibility for advanced analytics Foster cross-functional data alignment across clinical, safety, regulatory, and research domains Lead and develop a high-performing team of data stewards, scientists, and architects Engage external partners, consortia, and regulatory bodies to influence and align with industry data innovation Education & Requirements: Advanced degree (MS, PhD, or equivalent) in Data Science, Bioinformatics, Statistics, Computer Science, or a related field. 10+ years of data strategy and analytics experience in life sciences industry, with 5+ years in a leadership capacity. Strong knowledge of R&D processes, including discovery, translational, clinical development, and regulatory submissions Proven experience in enterprise data governance, architecture, and platform design in GxP environments. Familiarity with AI/ML enablement, though not focused on algorithm development. Strong stakeholder engagement, communication, and change leadership skills. Expertise with modern data stack: cloud platforms, data lakes, FAIR principles, and standards like CDISC, HL7/FHIR Our Benefits CSL employees that work at least 30 hours per week are eligible for benefits effective day 1. We are committed to the wellbeing of our employees and their loved ones. CSL offers resources and benefits, from health care to financial protection, so you can focus on doing work that matters. Our benefits are designed to support the needs of our employees at every stage of their life. Whether you are considering starting a family, need help paying for emergency back up care or summer camp, looking for mental health resources, planning for your financial future, or supporting your favorite charity with a matching contribution, CSL has many benefits to help achieve your goals. Please take the time to review our benefits site to see what's available to you as a CSL employee. About CSL Behring CSL Behring is a global leader in developing and delivering high-quality medicines that treat people with rare and serious diseases. Our treatments offer promise for people in more than 100 countries living with conditions in the immunology, hematology, cardiovascular and metabolic, respiratory, and transplant therapeutic areas. Learn more about CSL Behring . We want CSL to reflect the world around us At CSL, Inclusion and Belonging is at the core of our mission and who we are. It fuels our innovation day in and day out. By celebrating our differences and creating a culture of curiosity and empathy, we are able to better understand and connect with our patients and donors, foster strong relationships with our stakeholders, and sustain a diverse workforce that will move our company and industry into the future. Learn more Inclusion and Belonging CSL . Do work that matters at CSL Behring!
Oct 04, 2025
Full time
The Position: The R&D Data Excellence Lead drives the vision, strategy, and execution of data excellence across the R&D organization. This role ensures that data is standardized, governed, and leveraged for advanced insights across scientific, clinical, safety, and regulatory domains. The role serves as a strategic advisor to R&D leadership, overseeing enterprise-aligned data infrastructure, data architecture, and standards to accelerate discovery, development, and decision-making. The role partners closely with enterprise I&T to ensure all data initiatives are scalable, compliant, and interoperable. Responsibilities: Define and execute the R&D-wide data and analytics strategy aligned to R&D 2.0 transformation goals and PD&C objectives Serve as a strategic advisor to R&D leadership on opportunities to improve pipeline productivity and operational efficiency using data Establish and govern data standards, metadata management, lineage, and ontologies across R&D domains Ensure compliance with enterprise data governance and facilitate its application across R&D data sets Partner with I&T to design and maintain scalable, secure, and interoperable data platforms Enable integration of diverse data types including clinical, real-world data, omics, imaging, and digital biomarkers Collaborate with Digital Business Partners and Analytics teams to ensure data readiness and accessibility for advanced analytics Foster cross-functional data alignment across clinical, safety, regulatory, and research domains Lead and develop a high-performing team of data stewards, scientists, and architects Engage external partners, consortia, and regulatory bodies to influence and align with industry data innovation Education & Requirements: Advanced degree (MS, PhD, or equivalent) in Data Science, Bioinformatics, Statistics, Computer Science, or a related field. 10+ years of data strategy and analytics experience in life sciences industry, with 5+ years in a leadership capacity. Strong knowledge of R&D processes, including discovery, translational, clinical development, and regulatory submissions Proven experience in enterprise data governance, architecture, and platform design in GxP environments. Familiarity with AI/ML enablement, though not focused on algorithm development. Strong stakeholder engagement, communication, and change leadership skills. Expertise with modern data stack: cloud platforms, data lakes, FAIR principles, and standards like CDISC, HL7/FHIR Our Benefits CSL employees that work at least 30 hours per week are eligible for benefits effective day 1. We are committed to the wellbeing of our employees and their loved ones. CSL offers resources and benefits, from health care to financial protection, so you can focus on doing work that matters. Our benefits are designed to support the needs of our employees at every stage of their life. Whether you are considering starting a family, need help paying for emergency back up care or summer camp, looking for mental health resources, planning for your financial future, or supporting your favorite charity with a matching contribution, CSL has many benefits to help achieve your goals. Please take the time to review our benefits site to see what's available to you as a CSL employee. About CSL Behring CSL Behring is a global leader in developing and delivering high-quality medicines that treat people with rare and serious diseases. Our treatments offer promise for people in more than 100 countries living with conditions in the immunology, hematology, cardiovascular and metabolic, respiratory, and transplant therapeutic areas. Learn more about CSL Behring . We want CSL to reflect the world around us At CSL, Inclusion and Belonging is at the core of our mission and who we are. It fuels our innovation day in and day out. By celebrating our differences and creating a culture of curiosity and empathy, we are able to better understand and connect with our patients and donors, foster strong relationships with our stakeholders, and sustain a diverse workforce that will move our company and industry into the future. Learn more Inclusion and Belonging CSL . Do work that matters at CSL Behring!
The Position: The R&D Data Excellence Lead drives the vision, strategy, and execution of data excellence across the R&D organization. This role ensures that data is standardized, governed, and leveraged for advanced insights across scientific, clinical, safety, and regulatory domains. The role serves as a strategic advisor to R&D leadership, overseeing enterprise-aligned data infrastructure, data architecture, and standards to accelerate discovery, development, and decision-making. The role partners closely with enterprise I&T to ensure all data initiatives are scalable, compliant, and interoperable. Responsibilities: Define and execute the R&D-wide data and analytics strategy aligned to R&D 2.0 transformation goals and PD&C objectives Serve as a strategic advisor to R&D leadership on opportunities to improve pipeline productivity and operational efficiency using data Establish and govern data standards, metadata management, lineage, and ontologies across R&D domains Ensure compliance with enterprise data governance and facilitate its application across R&D data sets Partner with I&T to design and maintain scalable, secure, and interoperable data platforms Enable integration of diverse data types including clinical, real-world data, omics, imaging, and digital biomarkers Collaborate with Digital Business Partners and Analytics teams to ensure data readiness and accessibility for advanced analytics Foster cross-functional data alignment across clinical, safety, regulatory, and research domains Lead and develop a high-performing team of data stewards, scientists, and architects Engage external partners, consortia, and regulatory bodies to influence and align with industry data innovation Education & Requirements: Advanced degree (MS, PhD, or equivalent) in Data Science, Bioinformatics, Statistics, Computer Science, or a related field. 10+ years of data strategy and analytics experience in life sciences industry, with 5+ years in a leadership capacity. Strong knowledge of R&D processes, including discovery, translational, clinical development, and regulatory submissions Proven experience in enterprise data governance, architecture, and platform design in GxP environments. Familiarity with AI/ML enablement, though not focused on algorithm development. Strong stakeholder engagement, communication, and change leadership skills. Expertise with modern data stack: cloud platforms, data lakes, FAIR principles, and standards like CDISC, HL7/FHIR Our Benefits CSL employees that work at least 30 hours per week are eligible for benefits effective day 1. We are committed to the wellbeing of our employees and their loved ones. CSL offers resources and benefits, from health care to financial protection, so you can focus on doing work that matters. Our benefits are designed to support the needs of our employees at every stage of their life. Whether you are considering starting a family, need help paying for emergency back up care or summer camp, looking for mental health resources, planning for your financial future, or supporting your favorite charity with a matching contribution, CSL has many benefits to help achieve your goals. Please take the time to review our benefits site to see what's available to you as a CSL employee. About CSL Behring CSL Behring is a global leader in developing and delivering high-quality medicines that treat people with rare and serious diseases. Our treatments offer promise for people in more than 100 countries living with conditions in the immunology, hematology, cardiovascular and metabolic, respiratory, and transplant therapeutic areas. Learn more about CSL Behring . We want CSL to reflect the world around us At CSL, Inclusion and Belonging is at the core of our mission and who we are. It fuels our innovation day in and day out. By celebrating our differences and creating a culture of curiosity and empathy, we are able to better understand and connect with our patients and donors, foster strong relationships with our stakeholders, and sustain a diverse workforce that will move our company and industry into the future. Learn more Inclusion and Belonging CSL . Do work that matters at CSL Behring!
Oct 01, 2025
Full time
The Position: The R&D Data Excellence Lead drives the vision, strategy, and execution of data excellence across the R&D organization. This role ensures that data is standardized, governed, and leveraged for advanced insights across scientific, clinical, safety, and regulatory domains. The role serves as a strategic advisor to R&D leadership, overseeing enterprise-aligned data infrastructure, data architecture, and standards to accelerate discovery, development, and decision-making. The role partners closely with enterprise I&T to ensure all data initiatives are scalable, compliant, and interoperable. Responsibilities: Define and execute the R&D-wide data and analytics strategy aligned to R&D 2.0 transformation goals and PD&C objectives Serve as a strategic advisor to R&D leadership on opportunities to improve pipeline productivity and operational efficiency using data Establish and govern data standards, metadata management, lineage, and ontologies across R&D domains Ensure compliance with enterprise data governance and facilitate its application across R&D data sets Partner with I&T to design and maintain scalable, secure, and interoperable data platforms Enable integration of diverse data types including clinical, real-world data, omics, imaging, and digital biomarkers Collaborate with Digital Business Partners and Analytics teams to ensure data readiness and accessibility for advanced analytics Foster cross-functional data alignment across clinical, safety, regulatory, and research domains Lead and develop a high-performing team of data stewards, scientists, and architects Engage external partners, consortia, and regulatory bodies to influence and align with industry data innovation Education & Requirements: Advanced degree (MS, PhD, or equivalent) in Data Science, Bioinformatics, Statistics, Computer Science, or a related field. 10+ years of data strategy and analytics experience in life sciences industry, with 5+ years in a leadership capacity. Strong knowledge of R&D processes, including discovery, translational, clinical development, and regulatory submissions Proven experience in enterprise data governance, architecture, and platform design in GxP environments. Familiarity with AI/ML enablement, though not focused on algorithm development. Strong stakeholder engagement, communication, and change leadership skills. Expertise with modern data stack: cloud platforms, data lakes, FAIR principles, and standards like CDISC, HL7/FHIR Our Benefits CSL employees that work at least 30 hours per week are eligible for benefits effective day 1. We are committed to the wellbeing of our employees and their loved ones. CSL offers resources and benefits, from health care to financial protection, so you can focus on doing work that matters. Our benefits are designed to support the needs of our employees at every stage of their life. Whether you are considering starting a family, need help paying for emergency back up care or summer camp, looking for mental health resources, planning for your financial future, or supporting your favorite charity with a matching contribution, CSL has many benefits to help achieve your goals. Please take the time to review our benefits site to see what's available to you as a CSL employee. About CSL Behring CSL Behring is a global leader in developing and delivering high-quality medicines that treat people with rare and serious diseases. Our treatments offer promise for people in more than 100 countries living with conditions in the immunology, hematology, cardiovascular and metabolic, respiratory, and transplant therapeutic areas. Learn more about CSL Behring . We want CSL to reflect the world around us At CSL, Inclusion and Belonging is at the core of our mission and who we are. It fuels our innovation day in and day out. By celebrating our differences and creating a culture of curiosity and empathy, we are able to better understand and connect with our patients and donors, foster strong relationships with our stakeholders, and sustain a diverse workforce that will move our company and industry into the future. Learn more Inclusion and Belonging CSL . Do work that matters at CSL Behring!
The Position: The R&D Data Excellence Lead drives the vision, strategy, and execution of data excellence across the R&D organization. This role ensures that data is standardized, governed, and leveraged for advanced insights across scientific, clinical, safety, and regulatory domains. The role serves as a strategic advisor to R&D leadership, overseeing enterprise-aligned data infrastructure, data architecture, and standards to accelerate discovery, development, and decision-making. The role partners closely with enterprise I&T to ensure all data initiatives are scalable, compliant, and interoperable. Responsibilities: Define and execute the R&D-wide data and analytics strategy aligned to R&D 2.0 transformation goals and PD&C objectives Serve as a strategic advisor to R&D leadership on opportunities to improve pipeline productivity and operational efficiency using data Establish and govern data standards, metadata management, lineage, and ontologies across R&D domains Ensure compliance with enterprise data governance and facilitate its application across R&D data sets Partner with I&T to design and maintain scalable, secure, and interoperable data platforms Enable integration of diverse data types including clinical, real-world data, omics, imaging, and digital biomarkers Collaborate with Digital Business Partners and Analytics teams to ensure data readiness and accessibility for advanced analytics Foster cross-functional data alignment across clinical, safety, regulatory, and research domains Lead and develop a high-performing team of data stewards, scientists, and architects Engage external partners, consortia, and regulatory bodies to influence and align with industry data innovation Education & Requirements: Advanced degree (MS, PhD, or equivalent) in Data Science, Bioinformatics, Statistics, Computer Science, or a related field. 10+ years of data strategy and analytics experience in life sciences industry, with 5+ years in a leadership capacity. Strong knowledge of R&D processes, including discovery, translational, clinical development, and regulatory submissions Proven experience in enterprise data governance, architecture, and platform design in GxP environments. Familiarity with AI/ML enablement, though not focused on algorithm development. Strong stakeholder engagement, communication, and change leadership skills. Expertise with modern data stack: cloud platforms, data lakes, FAIR principles, and standards like CDISC, HL7/FHIR Our Benefits CSL employees that work at least 30 hours per week are eligible for benefits effective day 1. We are committed to the wellbeing of our employees and their loved ones. CSL offers resources and benefits, from health care to financial protection, so you can focus on doing work that matters. Our benefits are designed to support the needs of our employees at every stage of their life. Whether you are considering starting a family, need help paying for emergency back up care or summer camp, looking for mental health resources, planning for your financial future, or supporting your favorite charity with a matching contribution, CSL has many benefits to help achieve your goals. Please take the time to review our benefits site to see what's available to you as a CSL employee. About CSL Behring CSL Behring is a global leader in developing and delivering high-quality medicines that treat people with rare and serious diseases. Our treatments offer promise for people in more than 100 countries living with conditions in the immunology, hematology, cardiovascular and metabolic, respiratory, and transplant therapeutic areas. Learn more about CSL Behring . We want CSL to reflect the world around us At CSL, Inclusion and Belonging is at the core of our mission and who we are. It fuels our innovation day in and day out. By celebrating our differences and creating a culture of curiosity and empathy, we are able to better understand and connect with our patients and donors, foster strong relationships with our stakeholders, and sustain a diverse workforce that will move our company and industry into the future. Learn more Inclusion and Belonging CSL . Do work that matters at CSL Behring!
Oct 01, 2025
Full time
The Position: The R&D Data Excellence Lead drives the vision, strategy, and execution of data excellence across the R&D organization. This role ensures that data is standardized, governed, and leveraged for advanced insights across scientific, clinical, safety, and regulatory domains. The role serves as a strategic advisor to R&D leadership, overseeing enterprise-aligned data infrastructure, data architecture, and standards to accelerate discovery, development, and decision-making. The role partners closely with enterprise I&T to ensure all data initiatives are scalable, compliant, and interoperable. Responsibilities: Define and execute the R&D-wide data and analytics strategy aligned to R&D 2.0 transformation goals and PD&C objectives Serve as a strategic advisor to R&D leadership on opportunities to improve pipeline productivity and operational efficiency using data Establish and govern data standards, metadata management, lineage, and ontologies across R&D domains Ensure compliance with enterprise data governance and facilitate its application across R&D data sets Partner with I&T to design and maintain scalable, secure, and interoperable data platforms Enable integration of diverse data types including clinical, real-world data, omics, imaging, and digital biomarkers Collaborate with Digital Business Partners and Analytics teams to ensure data readiness and accessibility for advanced analytics Foster cross-functional data alignment across clinical, safety, regulatory, and research domains Lead and develop a high-performing team of data stewards, scientists, and architects Engage external partners, consortia, and regulatory bodies to influence and align with industry data innovation Education & Requirements: Advanced degree (MS, PhD, or equivalent) in Data Science, Bioinformatics, Statistics, Computer Science, or a related field. 10+ years of data strategy and analytics experience in life sciences industry, with 5+ years in a leadership capacity. Strong knowledge of R&D processes, including discovery, translational, clinical development, and regulatory submissions Proven experience in enterprise data governance, architecture, and platform design in GxP environments. Familiarity with AI/ML enablement, though not focused on algorithm development. Strong stakeholder engagement, communication, and change leadership skills. Expertise with modern data stack: cloud platforms, data lakes, FAIR principles, and standards like CDISC, HL7/FHIR Our Benefits CSL employees that work at least 30 hours per week are eligible for benefits effective day 1. We are committed to the wellbeing of our employees and their loved ones. CSL offers resources and benefits, from health care to financial protection, so you can focus on doing work that matters. Our benefits are designed to support the needs of our employees at every stage of their life. Whether you are considering starting a family, need help paying for emergency back up care or summer camp, looking for mental health resources, planning for your financial future, or supporting your favorite charity with a matching contribution, CSL has many benefits to help achieve your goals. Please take the time to review our benefits site to see what's available to you as a CSL employee. About CSL Behring CSL Behring is a global leader in developing and delivering high-quality medicines that treat people with rare and serious diseases. Our treatments offer promise for people in more than 100 countries living with conditions in the immunology, hematology, cardiovascular and metabolic, respiratory, and transplant therapeutic areas. Learn more about CSL Behring . We want CSL to reflect the world around us At CSL, Inclusion and Belonging is at the core of our mission and who we are. It fuels our innovation day in and day out. By celebrating our differences and creating a culture of curiosity and empathy, we are able to better understand and connect with our patients and donors, foster strong relationships with our stakeholders, and sustain a diverse workforce that will move our company and industry into the future. Learn more Inclusion and Belonging CSL . Do work that matters at CSL Behring!
