RF Test Engineer St Neots (PE19) - Permanent - Onsite £38,000 - £48,000 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 our head office in St Neots, Cambridgeshire, working on key state-of-the-art research, development, and delivery projects, led by our technical customer, Dstl. The primary role is to support integration testing of RF systems (including calibration, antenna models, and automated test scripts) in our complex synthetic environments. As a key stage of product delivery, you will focus on system level testing across a variety of simulated scenarios, injecting signals into a System Under Test (SUT) to verify and validate its performance. The role will require technical autonomy, liaising with military stakeholders, academia, industry and international partners, to assess the performance of receiver hardware, developing improvements, and providing advice. A secondary focus will be on development and implementation of test scripts to ensure the scenario and SUT performance is captured and understood. These scripts will be deployed to a variety of test equipment (Oscilloscopes, Signal Generators, Spectrum Analysers, and other Special to Type) providing a complete picture to the customer of system performance. This role will give you a unique opportunity to act as an end user/operator of threat models participating in scenarios, applying doctrine, reacting to events, and learning these systems in detail. This task will give unrivalled access to our customers, as well as international partners, with several trials being run each year utilising these models. Working with minimal oversight, you will be crucial to ensure the success of these key projects, all whilst being supported by our on-site MASS teams. This is a high visibility role, providing excellent opportunities to talented and enthusiastic candidates. The invaluable experience you ll bring, to help us achieve more. Essential: Experience of analogue or digital RF circuitry. Operation of test equipment in a laboratory environment (e.g. Oscilloscopes, Signal Generators, Spectrum/Network Analysers). Coding experience (e.g. MATLAB, Python, or LabView). Experience completing Verification & Validation activities. STEM Degree or extensive experience with RF Electronics. Desirable: Background in EW systems and concepts, including radar systems. Previous experience working in synthetic testing environments. Experience using or creating automation scripts. Knowledge of network architecture. Knowledge of hardware acceleration technologies. Awareness of simulation and rendering engines (e.g. Unreal, Unity etc.) 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!
Feb 14, 2026
Full time
RF Test Engineer St Neots (PE19) - Permanent - Onsite £38,000 - £48,000 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 our head office in St Neots, Cambridgeshire, working on key state-of-the-art research, development, and delivery projects, led by our technical customer, Dstl. The primary role is to support integration testing of RF systems (including calibration, antenna models, and automated test scripts) in our complex synthetic environments. As a key stage of product delivery, you will focus on system level testing across a variety of simulated scenarios, injecting signals into a System Under Test (SUT) to verify and validate its performance. The role will require technical autonomy, liaising with military stakeholders, academia, industry and international partners, to assess the performance of receiver hardware, developing improvements, and providing advice. A secondary focus will be on development and implementation of test scripts to ensure the scenario and SUT performance is captured and understood. These scripts will be deployed to a variety of test equipment (Oscilloscopes, Signal Generators, Spectrum Analysers, and other Special to Type) providing a complete picture to the customer of system performance. This role will give you a unique opportunity to act as an end user/operator of threat models participating in scenarios, applying doctrine, reacting to events, and learning these systems in detail. This task will give unrivalled access to our customers, as well as international partners, with several trials being run each year utilising these models. Working with minimal oversight, you will be crucial to ensure the success of these key projects, all whilst being supported by our on-site MASS teams. This is a high visibility role, providing excellent opportunities to talented and enthusiastic candidates. The invaluable experience you ll bring, to help us achieve more. Essential: Experience of analogue or digital RF circuitry. Operation of test equipment in a laboratory environment (e.g. Oscilloscopes, Signal Generators, Spectrum/Network Analysers). Coding experience (e.g. MATLAB, Python, or LabView). Experience completing Verification & Validation activities. STEM Degree or extensive experience with RF Electronics. Desirable: Background in EW systems and concepts, including radar systems. Previous experience working in synthetic testing environments. Experience using or creating automation scripts. Knowledge of network architecture. Knowledge of hardware acceleration technologies. Awareness of simulation and rendering engines (e.g. Unreal, Unity etc.) 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!
A leading health technology company in the United Kingdom is looking for a Senior Data Scientist. This role involves analyzing and interpreting clinical data to enhance device performance insights. The ideal candidate will possess strong skills in statistical modeling and Python programming, with at least 4 years of industry experience. You'll collaborate across teams to communicate findings effectively, ensuring data quality and performance clarity. Join us in a fast-paced, mission-driven environment where your analysis shapes critical decisions.
Feb 13, 2026
Full time
A leading health technology company in the United Kingdom is looking for a Senior Data Scientist. This role involves analyzing and interpreting clinical data to enhance device performance insights. The ideal candidate will possess strong skills in statistical modeling and Python programming, with at least 4 years of industry experience. You'll collaborate across teams to communicate findings effectively, ensuring data quality and performance clarity. Join us in a fast-paced, mission-driven environment where your analysis shapes critical decisions.
About the Programme Our mission is bold: to generate data at scale to address fundamental questions about the diversity of life at the genomic level. Our world class programme merges large scale data generation with focussed analysis of pattern and process in evolution, delivering to overarching goals of conservation of biodiversity, fueling a biotechnological progress and contributing to the health of human societies. Who We're Looking For We're seeking an exceptional researcher whose ambitions depend on diverse eukaryotic genomes and large scale analysis. We anticipate recruiting in one of the following areas: Cell atlasing across biodiversity: The Biodiversity Cell Atlas is a growing initiative that aims to use the technologies pioneered by the Human Cell Atlas (and colleagues in the Cellular Genetics Programme at Sanger) to profile species across the eukaryotic tree using single cell functional genomics methods to reveal cell type orthology, discover the origins of distinct cell types and reveal the regulatory systems that generate this diversity. Phylogenomics at megascale: devising algorithms, engineering toolkits and reconstructing phylogenetic relationships of genes and species, exploiting the power of reference quality genomes. Biodiversity AI: Deploying AI to discover fundamental rules of genome organisation across diversity, including gene structure and regulatory system prediction. Direct application of biodiversity genomics data: in conservation, landscape ecology, bioengineering or any other field with clear impact on ongoing problems humanity is facing. If you are not sure whether your research objectives would fit into the Tree of Life, please do get in touch with Mark Blaxter to clarify. Location and Community The Wellcome Sanger Institute is located in the centre of the largest scientific and startup cluster in Europe and combines the scientific innovation of Cambridge with the business and cultural ambition of London. We care about the long term translation and impact of our research. We welcome applicants from clinical, industry, or non traditional career paths. We particularly encourage applications from women and individuals from underrepresented backgrounds. We believe our science is enriched by a diversity of perspectives and experiences. Role We intend to recruit at the Group Leader 2 (equivalent to associate professor) or Group Leader 3 (equivalent to full professor) level. These positions are designed for established scientists and offer a very substantial core package, including a competitive salary and continuous internal funding that enables the pursuit of ambitious, large scale research without the need for external grants. Faculty at the Institute are supported by outstanding scientific, technical, and operational teams, allowing them to focus on impactful research and leadership. You will have the opportunity to mentor and develop a growing team within a supportive and collegial environment where collaboration, well being, and inclusion are prioritised. Group Leader 2 (GL2) Mid career (Associate Professor). Lead a growing core funded team, shape programme strategy, and drive large scale discovery. Eight year post with review in year six leading to promotion to GL3 or departure by year 8. Group Leader 3 (GL3) Senior leadership role (Full Professor) helping to shape Sanger's long term research strategy. Ongoing appointment with six year rolling reviews. Global research leaders are encouraged to apply. Why Join Us? Substantial, Sustained Core Funding: Focus on the science that matters, not grant cycles. Launch long term, high impact research. Scale + Technology: Unmatched access to high throughput science platforms, Scientific Operations, and Informatics infrastructure. A Truly Collaborative Culture: Work side by side with leading genomics experts in an environment built for cooperation, discovery and translational impact. A Supportive, Inclusive, and Flexible Workplace: Relocation and visa support, mentorship, flexible working, family friendly policies, and a campus dedicated to well being and scientific excellence. A Global Science Hub: Benefit from the dynamic, international, and high impact innovation landscape of Cambridge and London. Application Process Your application should include: CV and full publication list + 3 referees. Cover letter summarising your scientific leadership and wider contributions (including diversity and inclusion initiatives, mentorship and public engagement). Research vision addressing a fundamental problem (3 pages + 250 word abstract) demonstrating: Fit with our programme (direction, ambition and scale, explaining why Sanger is the right environment). >What you'll do at Sanger that can't be done elsewhere. Interview Process We believe recruitment should be supportive and transparent. You'll meet with teams across science, strategy, and operations to explore Sanger's full potential. Our process includes: Scientific Talks (on past and future research). Panel interview based on leadership, collaboration, and core behavioural competencies. Stakeholder 1:1 meetings with Group Leaders and Programme leads. We understand balancing career opportunities with personal commitments can be challenging, and our process is designed to be flexible and supportive. Ready to Redefine What's Possible in Biology? Join us at the Wellcome Sanger Institute and be part of a transformative, AI powered future for life sciences. Help build the next era of synthetic genomics in an environment where your science, your voice, and your career are valued. Closing date: 08 February 2026 Equality, Diversity and Inclusion We aim to attract, recruit, retain and develop talent from the widest possible talent pool, thereby gaining insight and access to different markets to generate a greater impact on the world. We have a supportive culture with staff networks for LGBTQ+, Parents and Carers, Disability and Race Equity. We will consider all individuals without discrimination and are committed to creating an inclusive environment for all employees, where everyone can thrive.
Feb 13, 2026
Full time
About the Programme Our mission is bold: to generate data at scale to address fundamental questions about the diversity of life at the genomic level. Our world class programme merges large scale data generation with focussed analysis of pattern and process in evolution, delivering to overarching goals of conservation of biodiversity, fueling a biotechnological progress and contributing to the health of human societies. Who We're Looking For We're seeking an exceptional researcher whose ambitions depend on diverse eukaryotic genomes and large scale analysis. We anticipate recruiting in one of the following areas: Cell atlasing across biodiversity: The Biodiversity Cell Atlas is a growing initiative that aims to use the technologies pioneered by the Human Cell Atlas (and colleagues in the Cellular Genetics Programme at Sanger) to profile species across the eukaryotic tree using single cell functional genomics methods to reveal cell type orthology, discover the origins of distinct cell types and reveal the regulatory systems that generate this diversity. Phylogenomics at megascale: devising algorithms, engineering toolkits and reconstructing phylogenetic relationships of genes and species, exploiting the power of reference quality genomes. Biodiversity AI: Deploying AI to discover fundamental rules of genome organisation across diversity, including gene structure and regulatory system prediction. Direct application of biodiversity genomics data: in conservation, landscape ecology, bioengineering or any other field with clear impact on ongoing problems humanity is facing. If you are not sure whether your research objectives would fit into the Tree of Life, please do get in touch with Mark Blaxter to clarify. Location and Community The Wellcome Sanger Institute is located in the centre of the largest scientific and startup cluster in Europe and combines the scientific innovation of Cambridge with the business and cultural ambition of London. We care about the long term translation and impact of our research. We welcome applicants from clinical, industry, or non traditional career paths. We particularly encourage applications from women and individuals from underrepresented backgrounds. We believe our science is enriched by a diversity of perspectives and experiences. Role We intend to recruit at the Group Leader 2 (equivalent to associate professor) or Group Leader 3 (equivalent to full professor) level. These positions are designed for established scientists and offer a very substantial core package, including a competitive salary and continuous internal funding that enables the pursuit of ambitious, large scale research without the need for external grants. Faculty at the Institute are supported by outstanding scientific, technical, and operational teams, allowing them to focus on impactful research and leadership. You will have the opportunity to mentor and develop a growing team within a supportive and collegial environment where collaboration, well being, and inclusion are prioritised. Group Leader 2 (GL2) Mid career (Associate Professor). Lead a growing core funded team, shape programme strategy, and drive large scale discovery. Eight year post with review in year six leading to promotion to GL3 or departure by year 8. Group Leader 3 (GL3) Senior leadership role (Full Professor) helping to shape Sanger's long term research strategy. Ongoing appointment with six year rolling reviews. Global research leaders are encouraged to apply. Why Join Us? Substantial, Sustained Core Funding: Focus on the science that matters, not grant cycles. Launch long term, high impact research. Scale + Technology: Unmatched access to high throughput science platforms, Scientific Operations, and Informatics infrastructure. A Truly Collaborative Culture: Work side by side with leading genomics experts in an environment built for cooperation, discovery and translational impact. A Supportive, Inclusive, and Flexible Workplace: Relocation and visa support, mentorship, flexible working, family friendly policies, and a campus dedicated to well being and scientific excellence. A Global Science Hub: Benefit from the dynamic, international, and high impact innovation landscape of Cambridge and London. Application Process Your application should include: CV and full publication list + 3 referees. Cover letter summarising your scientific leadership and wider contributions (including diversity and inclusion initiatives, mentorship and public engagement). Research vision addressing a fundamental problem (3 pages + 250 word abstract) demonstrating: Fit with our programme (direction, ambition and scale, explaining why Sanger is the right environment). >What you'll do at Sanger that can't be done elsewhere. Interview Process We believe recruitment should be supportive and transparent. You'll meet with teams across science, strategy, and operations to explore Sanger's full potential. Our process includes: Scientific Talks (on past and future research). Panel interview based on leadership, collaboration, and core behavioural competencies. Stakeholder 1:1 meetings with Group Leaders and Programme leads. We understand balancing career opportunities with personal commitments can be challenging, and our process is designed to be flexible and supportive. Ready to Redefine What's Possible in Biology? Join us at the Wellcome Sanger Institute and be part of a transformative, AI powered future for life sciences. Help build the next era of synthetic genomics in an environment where your science, your voice, and your career are valued. Closing date: 08 February 2026 Equality, Diversity and Inclusion We aim to attract, recruit, retain and develop talent from the widest possible talent pool, thereby gaining insight and access to different markets to generate a greater impact on the world. We have a supportive culture with staff networks for LGBTQ+, Parents and Carers, Disability and Race Equity. We will consider all individuals without discrimination and are committed to creating an inclusive environment for all employees, where everyone can thrive.
Pricing Analyst London - Hybrid 35,000 - 45,000 + Bonus + Great Pension + Private Healthcare + 28 days Holiday + Hybrid Working Are you looking to join a company that can propel your career forward, and also provide you with a brilliant package so you enjoy your life inside and outside of work? Are you looking to play a key part in an exciting team in a highly reputable business? This company offer a brilliant service and are the leading car leasing company within the UK. With a fantastic client base and working with some of the biggest brands out there you would be joining a great company where you will feel valued and part of a team. In this role you will work in a small team with like minded analysts out of the asset risk team to provide market knowledge and insight regarding the pricing of the companies assets. Working with Data Scientists within the business and using market data you will provide insight to stakeholders and managers regarding the the companies pricing of vehicles showcasing your stakeholder management skills and data analytics skills. The ideal candidate will be able to analyse data and provide insight to report findings to key stakeholders and managers therefore having excellent communication skills. You will need to have had previous pricing analyst experience and come from a financial / pricing background. Strong excel skills is required. SQL/Snowflake/Power BI is advantageous but not essential. Good manual skills with spreadsheets will be useful. This is a fantastic opportunity for a Pricing Analyst to join a fantastic and rewarding company and continue the growth and development in their career with great progression opportunities and work life balance at this company. The Role: Collaborate with a small team of analysts in Asset Risk team to deliver market insights on pricing. Work closely with Data Scientists and utilise market data to inform pricing decisions with stakholders. Showcase excel and Power BI skills The Person: Strong analytical skills with the ability to interpret data and provide actionable insights within pricing. Excellent communication skills to effectively present findings to stakeholders and managers. Previous experience in a pricing analyst role. Able to work independently while also contributing collaboratively within a team. Can commute to central London 3 times per week. Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client. We are an equal opportunities company and welcome applications from all suitable candidates.
Feb 13, 2026
Full time
Pricing Analyst London - Hybrid 35,000 - 45,000 + Bonus + Great Pension + Private Healthcare + 28 days Holiday + Hybrid Working Are you looking to join a company that can propel your career forward, and also provide you with a brilliant package so you enjoy your life inside and outside of work? Are you looking to play a key part in an exciting team in a highly reputable business? This company offer a brilliant service and are the leading car leasing company within the UK. With a fantastic client base and working with some of the biggest brands out there you would be joining a great company where you will feel valued and part of a team. In this role you will work in a small team with like minded analysts out of the asset risk team to provide market knowledge and insight regarding the pricing of the companies assets. Working with Data Scientists within the business and using market data you will provide insight to stakeholders and managers regarding the the companies pricing of vehicles showcasing your stakeholder management skills and data analytics skills. The ideal candidate will be able to analyse data and provide insight to report findings to key stakeholders and managers therefore having excellent communication skills. You will need to have had previous pricing analyst experience and come from a financial / pricing background. Strong excel skills is required. SQL/Snowflake/Power BI is advantageous but not essential. Good manual skills with spreadsheets will be useful. This is a fantastic opportunity for a Pricing Analyst to join a fantastic and rewarding company and continue the growth and development in their career with great progression opportunities and work life balance at this company. The Role: Collaborate with a small team of analysts in Asset Risk team to deliver market insights on pricing. Work closely with Data Scientists and utilise market data to inform pricing decisions with stakholders. Showcase excel and Power BI skills The Person: Strong analytical skills with the ability to interpret data and provide actionable insights within pricing. Excellent communication skills to effectively present findings to stakeholders and managers. Previous experience in a pricing analyst role. Able to work independently while also contributing collaboratively within a team. Can commute to central London 3 times per week. Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client. We are an equal opportunities company and welcome applications from all suitable candidates.
Lead Data & AI Scientist Hybrid: 1-2 days per week in the office (London) Permanent £100k-£150k DOE + Bonus + Benefits Experis are delighted to be partnering with a leading and well-respected organisation as they continue to invest heavily in Data Science, Artificial Intelligence and Generative AI click apply for full job details
Feb 13, 2026
Full time
Lead Data & AI Scientist Hybrid: 1-2 days per week in the office (London) Permanent £100k-£150k DOE + Bonus + Benefits Experis are delighted to be partnering with a leading and well-respected organisation as they continue to invest heavily in Data Science, Artificial Intelligence and Generative AI click apply for full job details
POSITION SUMMARY You will provide clinical and scientific oversight and support for multiple, global Phase 1 - 4 clinical studies in support of the development strategy for programs within the Vaccines portfolio. POSITION RESPONSIBILITIES Maintains current scientific and clinical knowledge in the specific therapeutic and disease area(s) of assignment click apply for full job details
Feb 13, 2026
Full time
POSITION SUMMARY You will provide clinical and scientific oversight and support for multiple, global Phase 1 - 4 clinical studies in support of the development strategy for programs within the Vaccines portfolio. POSITION RESPONSIBILITIES Maintains current scientific and clinical knowledge in the specific therapeutic and disease area(s) of assignment click apply for full job details
About Sava All the health information we need is within us. Just below the skin. SAVA is redefining the way people interact with their health by developing the most advanced biosensing technology science has to offer, capable of accessing bodily information in a painless, real-time and affordable way. The Role We are hiring a Senior Data Scientist (Clinical Data Analytics) to play a central role in the analysis and interpretation of clinical data collected from in-vivo testing of our device. You will be responsible for transforming time-series clinical datasets into actionable insights that inform device performance evaluation and broader company decisions. The role is highly cross-functional. You will work closely with the clinical team to support trial design and data review and with R&D teams to provide data-driven input on device behavior, performance, and potential failure modes observed in real-world use. A key part of the role is not only quantifying performance, but also identifying and characterising issues or limitations in the data and clearly communicating them. As our clinical programs expand, the volume and complexity of collected data will continue to grow. This role is therefore critical in ensuring that performance trends and uncertainties are rigorously assessed and communicated at both a technical and high-level summary view. The ideal candidate is comfortable owning analyses end-to-end and can effectively translate detailed statistical findings into insights that are accessible to a broad set of stakeholders across the organisation. What You'll Do Analyse and manipulate clinical time-series data from in-vivo studies to evaluate sensor behavior, and use additional data sources to perform root-cause analysis when issues are observed. Build, maintain, and improve reproducible analysis pipelines to support scalable processing of clinical data. Investigate data quality issues, performance variability, and potential sensor limitations, and clearly communicate findings to clinical, R&D, and cross-functional teams. Act as a central analytical reference for clinical sensor performance, ensuring that results are interpreted consistently and rigorously across studies. Help establish and evolve methodologies and best practices for clinical data analysis as the company's clinical programs expand. Support long-term product and research decisions by translating complex clinical data into high-level performance trends and risks. What We're Looking For Degree (MS) in Data Science, Biomedical Engineering, Statistics, or a related quantitative field. At least 4 years of industry experience working with complex datasets, in an R&D environment. Strong ability to analyse and interpret complex clinical and sensor data, with a focus on time-series data. Solid grounding in statistical analysis and modeling, including understanding assumptions and limitations of different approaches. Strong understanding of signal processing fundamentals Proficiency in Python for data analysis, including writing clear and maintainable code for time-series processing and statistical analysis Experience querying and working with relational and non-relational databases to support analysis and reporting Strong knowledge of SQL for data querying, manipulation, and aggregation across large datasets Familiarity with version control systems (e.g., Git) and collaborative development workflows. Experience using data visualisation tools (e.g., Power BI or similar) to communicate insights and performance trends effectively. Strong interest in biomedical and physiological data, with the motivation to understand sensor behavior and underlying mechanisms. Comfortable working in a cross-functional and fast-paced environment, collaborating with clinical, R&D, and other teams. Ability to clearly communicate analytical results, limitations, and trade-offs to both technical and non-technical stakeholders. Proactive mindset, with a sense of ownership over analyses and outcomes Bonus Points For Experience in biotech companies Previous experience with CGM sensor data or physiological signals Experience in a start-up or scale-up environment Why Sava? This is a high-ownership, high-responsibility role in a company that's building something complex, meaningful, and fast. The expectations are high, the learning curve is steep, and the work is often messy - but the impact is real. We don't have room for egos or passengers. What we do have is a team of thoughtful, driven, and mission-aligned people who are committed to building something better-and doing it with urgency and integrity.
Feb 13, 2026
Full time
About Sava All the health information we need is within us. Just below the skin. SAVA is redefining the way people interact with their health by developing the most advanced biosensing technology science has to offer, capable of accessing bodily information in a painless, real-time and affordable way. The Role We are hiring a Senior Data Scientist (Clinical Data Analytics) to play a central role in the analysis and interpretation of clinical data collected from in-vivo testing of our device. You will be responsible for transforming time-series clinical datasets into actionable insights that inform device performance evaluation and broader company decisions. The role is highly cross-functional. You will work closely with the clinical team to support trial design and data review and with R&D teams to provide data-driven input on device behavior, performance, and potential failure modes observed in real-world use. A key part of the role is not only quantifying performance, but also identifying and characterising issues or limitations in the data and clearly communicating them. As our clinical programs expand, the volume and complexity of collected data will continue to grow. This role is therefore critical in ensuring that performance trends and uncertainties are rigorously assessed and communicated at both a technical and high-level summary view. The ideal candidate is comfortable owning analyses end-to-end and can effectively translate detailed statistical findings into insights that are accessible to a broad set of stakeholders across the organisation. What You'll Do Analyse and manipulate clinical time-series data from in-vivo studies to evaluate sensor behavior, and use additional data sources to perform root-cause analysis when issues are observed. Build, maintain, and improve reproducible analysis pipelines to support scalable processing of clinical data. Investigate data quality issues, performance variability, and potential sensor limitations, and clearly communicate findings to clinical, R&D, and cross-functional teams. Act as a central analytical reference for clinical sensor performance, ensuring that results are interpreted consistently and rigorously across studies. Help establish and evolve methodologies and best practices for clinical data analysis as the company's clinical programs expand. Support long-term product and research decisions by translating complex clinical data into high-level performance trends and risks. What We're Looking For Degree (MS) in Data Science, Biomedical Engineering, Statistics, or a related quantitative field. At least 4 years of industry experience working with complex datasets, in an R&D environment. Strong ability to analyse and interpret complex clinical and sensor data, with a focus on time-series data. Solid grounding in statistical analysis and modeling, including understanding assumptions and limitations of different approaches. Strong understanding of signal processing fundamentals Proficiency in Python for data analysis, including writing clear and maintainable code for time-series processing and statistical analysis Experience querying and working with relational and non-relational databases to support analysis and reporting Strong knowledge of SQL for data querying, manipulation, and aggregation across large datasets Familiarity with version control systems (e.g., Git) and collaborative development workflows. Experience using data visualisation tools (e.g., Power BI or similar) to communicate insights and performance trends effectively. Strong interest in biomedical and physiological data, with the motivation to understand sensor behavior and underlying mechanisms. Comfortable working in a cross-functional and fast-paced environment, collaborating with clinical, R&D, and other teams. Ability to clearly communicate analytical results, limitations, and trade-offs to both technical and non-technical stakeholders. Proactive mindset, with a sense of ownership over analyses and outcomes Bonus Points For Experience in biotech companies Previous experience with CGM sensor data or physiological signals Experience in a start-up or scale-up environment Why Sava? This is a high-ownership, high-responsibility role in a company that's building something complex, meaningful, and fast. The expectations are high, the learning curve is steep, and the work is often messy - but the impact is real. We don't have room for egos or passengers. What we do have is a team of thoughtful, driven, and mission-aligned people who are committed to building something better-and doing it with urgency and integrity.
A leading research organization in Oxford is seeking a Senior or Non Senior Scientist with expertise in computational methods for genomic sequencing. The successful candidate will develop novel analytical approaches and collaborate with interdisciplinary teams to enhance infectious disease diagnostics. Essential qualifications include a PhD in a related field and experience in bioinformatics tools and methodologies. The role offers competitive salary and benefits in a dynamic, innovative environment.
Feb 13, 2026
Full time
A leading research organization in Oxford is seeking a Senior or Non Senior Scientist with expertise in computational methods for genomic sequencing. The successful candidate will develop novel analytical approaches and collaborate with interdisciplinary teams to enhance infectious disease diagnostics. Essential qualifications include a PhD in a related field and experience in bioinformatics tools and methodologies. The role offers competitive salary and benefits in a dynamic, innovative environment.
Overview At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change & Managing CO Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Explore more at . Welcome to the Pathogen Project: Within this ecosystem, the Pathogen Project exemplifies EIT's dedication to ground-breaking science. It seeks to transform pathogen risk management, detection and response by leveraging Whole Genome Sequencing (WGS)-based metagenomic and pathogen-specific analytical tools. The goal is to power metagenomic devices using long-read sequencing technologies by building a comprehensive database of pathogen information to inform response. Enabled by Oracle Inc.'s cloud-computing scale and security, the Pathogen Project is advancing toward certified diagnostic tools for deployment in laboratories, hospitals, and public health organisations worldwide. Your Role: At EIT we are seeking an experienced and detailed orientated (Senior or Non Senior) Scientist with recognised expertise in developing computational methods and algorithms for genomic sequencing data analysis. This is an exciting opportunity to develop novel computational approaches for microbial data that will become part of our diagnostic products and thus help shape the future of infectious disease diagnostics. Reporting to the Lead Scientist in Computational Genomics, you will work closely with computational scientists, bioinformaticians, software engineers, and our database and data platform teams to deliver scientifically rigorous, scalable, and clinically relevant innovation in the microbial genomics space. Key Responsibilities: Design, develop and evaluate novel computational approaches in areas such as genome assembly, binning, and functional characterisation of genomes from metagenomic sequencing data Collaborate with scientists across EIT to apply the latest developments in AI/ML to real-world challenges in the pathogen space Work with bioinformaticians and software engineers to implement methods in scalable, reproducible, and modular workflows Perform rigorous benchmarking using public and internal datasets, and guide experimental validation efforts in collaboration with our wet-lab teams Communicate technical concepts to broad audiences and collaborate with interdisciplinary colleagues across the organisation Essential Knowledge, Skills and Experience: PhD or equivalent experience in bioinformatics, computational biology, computer science, or a related quantitative field Senior: At least 3 years of postdoctoral or industry experience developing computational methods for next-generation sequencing data Non-Senior: Hands-on experience developing computational methods for next-generation sequencing data Significant experience with bioinformatics methods such as efficient search and storage of DNA sequences, genome assembly, genome annotation, pangenomes, phylogenetics, and comparative genomics Solid understanding of data structures, algorithms, and statistical methods (e.g. De Bruijn graphs, hashing, Burrows-Wheeler transform, Bayesian methods, mixed models, dimensionality reduction, embeddings) Experience with machine learning in the context of biological data, particularly sequencing data Proficient in the use of command-line interfaces, low and high-level programming languages (e.g. Python, C, C++, Rust) and modern software development techniques (version control, CI/CD) Track record of scientific output and engagement with the computational genomics community Desirable Knowledge, Skills and Experience: Experience working with microbial genomes and shotgun metagenomics data Experience working with long-read sequencing data (ONT) Experience with bioinformatics workflow management (e.g. Nextflow) and cloud computing (e.g. OCI, AWS, GCP) Contributions to open-source bioinformatics software Previous experience mentoring or line-managing scientists (For Senior) Key Attributes: Strategic thinker with the ability to translate scientific insights into practical solutions Effective communicator and enthusiastic knowledge sharer across disciplines Rigorous and detail-oriented with a commitment to reproducibility and benchmarking Comfortable in a fast-paced, interdisciplinary environment and able to adapt to evolving priorities Collaborative ethos with the ability to work across teams and domains Our Benefits: Salary: Competitive + travel allowance + bonus Enhanced holiday + options to buy additional days Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Childcare benefit Working Together - What It Involves: You must have the permanent right to work in the UK and be willing to travel when required. Given the specialised nature of this role, we can consider sponsorship for candidates who meet the expectations outlined in the job description. You will live in, or within easy commuting distance of, Oxford (or be willing to relocate).
Feb 13, 2026
Full time
Overview At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity's greatest challenges in four transformative areas: Health, Medical Science & Generative Biology Food Security & Sustainable Agriculture Climate Change & Managing CO Artificial Intelligence & Robotics This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Explore more at . Welcome to the Pathogen Project: Within this ecosystem, the Pathogen Project exemplifies EIT's dedication to ground-breaking science. It seeks to transform pathogen risk management, detection and response by leveraging Whole Genome Sequencing (WGS)-based metagenomic and pathogen-specific analytical tools. The goal is to power metagenomic devices using long-read sequencing technologies by building a comprehensive database of pathogen information to inform response. Enabled by Oracle Inc.'s cloud-computing scale and security, the Pathogen Project is advancing toward certified diagnostic tools for deployment in laboratories, hospitals, and public health organisations worldwide. Your Role: At EIT we are seeking an experienced and detailed orientated (Senior or Non Senior) Scientist with recognised expertise in developing computational methods and algorithms for genomic sequencing data analysis. This is an exciting opportunity to develop novel computational approaches for microbial data that will become part of our diagnostic products and thus help shape the future of infectious disease diagnostics. Reporting to the Lead Scientist in Computational Genomics, you will work closely with computational scientists, bioinformaticians, software engineers, and our database and data platform teams to deliver scientifically rigorous, scalable, and clinically relevant innovation in the microbial genomics space. Key Responsibilities: Design, develop and evaluate novel computational approaches in areas such as genome assembly, binning, and functional characterisation of genomes from metagenomic sequencing data Collaborate with scientists across EIT to apply the latest developments in AI/ML to real-world challenges in the pathogen space Work with bioinformaticians and software engineers to implement methods in scalable, reproducible, and modular workflows Perform rigorous benchmarking using public and internal datasets, and guide experimental validation efforts in collaboration with our wet-lab teams Communicate technical concepts to broad audiences and collaborate with interdisciplinary colleagues across the organisation Essential Knowledge, Skills and Experience: PhD or equivalent experience in bioinformatics, computational biology, computer science, or a related quantitative field Senior: At least 3 years of postdoctoral or industry experience developing computational methods for next-generation sequencing data Non-Senior: Hands-on experience developing computational methods for next-generation sequencing data Significant experience with bioinformatics methods such as efficient search and storage of DNA sequences, genome assembly, genome annotation, pangenomes, phylogenetics, and comparative genomics Solid understanding of data structures, algorithms, and statistical methods (e.g. De Bruijn graphs, hashing, Burrows-Wheeler transform, Bayesian methods, mixed models, dimensionality reduction, embeddings) Experience with machine learning in the context of biological data, particularly sequencing data Proficient in the use of command-line interfaces, low and high-level programming languages (e.g. Python, C, C++, Rust) and modern software development techniques (version control, CI/CD) Track record of scientific output and engagement with the computational genomics community Desirable Knowledge, Skills and Experience: Experience working with microbial genomes and shotgun metagenomics data Experience working with long-read sequencing data (ONT) Experience with bioinformatics workflow management (e.g. Nextflow) and cloud computing (e.g. OCI, AWS, GCP) Contributions to open-source bioinformatics software Previous experience mentoring or line-managing scientists (For Senior) Key Attributes: Strategic thinker with the ability to translate scientific insights into practical solutions Effective communicator and enthusiastic knowledge sharer across disciplines Rigorous and detail-oriented with a commitment to reproducibility and benchmarking Comfortable in a fast-paced, interdisciplinary environment and able to adapt to evolving priorities Collaborative ethos with the ability to work across teams and domains Our Benefits: Salary: Competitive + travel allowance + bonus Enhanced holiday + options to buy additional days Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Childcare benefit Working Together - What It Involves: You must have the permanent right to work in the UK and be willing to travel when required. Given the specialised nature of this role, we can consider sponsorship for candidates who meet the expectations outlined in the job description. You will live in, or within easy commuting distance of, Oxford (or be willing to relocate).
A global consulting firm is seeking a Lead Data Scientist specializing in AI/ML to design and operationalize analytics solutions. The role involves leadership, guiding teams, and embedding AI into products. Candidates must have 5+ years in ML, proficiency in Python, and experience with cloud services like AWS and Azure. This hybrid position offers flexible working arrangements while ensuring a healthy work-life balance.
Feb 13, 2026
Full time
A global consulting firm is seeking a Lead Data Scientist specializing in AI/ML to design and operationalize analytics solutions. The role involves leadership, guiding teams, and embedding AI into products. Candidates must have 5+ years in ML, proficiency in Python, and experience with cloud services like AWS and Azure. This hybrid position offers flexible working arrangements while ensuring a healthy work-life balance.
About the team You'll join ZOE's Product team, which sets product direction across the company. This is not a feature-delivery role - PMs at ZOE are expected to think strategically, make decisions, and own outcomes. You'll define problems, make trade-offs, and work closely with partners across Engineering, Design, Data Science, and Nutrition Science. Reporting directly to the Chief Product Officer, you'll work with Product leadership to build and scale an app designed to improve the health of millions. As part of the centralised Product team, you'll help drive a consistent experience across the ZOE ecosystem and ship products grounded in science and real user impact. About the role & impact As the Product Manager for our E-commerce Platform, you will own the technical foundation that powers how people discover, evaluate, and purchase ZOE. This role is about building the right platform for growth: scalable, reliable, and designed for rapid experimentation. You'll ensure teams can move fast, test ideas, and learn what truly helps users get started on their health journey. You are the gateway into ZOE. The choices you make determine how easily people can access our science and begin improving their health. You'll work closely with Engineering, Design, Data, and Science partners to translate complex health and microbiome concepts into a clear, trustworthy experience, without compromising scientific integrity. You'll define platform capabilities, set standards for experimentation and measurement, and make trade-offs that balance speed, quality, and long term scalability. When you succeed, more people reach the science and health they deserve, and ZOE has a platform built to grow with them. What you will do Lead the strategy for our web storefront and checkout flows, turning complex biological testing concepts into a frictionless, high converting experience. Collaborate with our world class scientists to translate Gut Microbiome, Blood Sugar, and Blood Fat insights into a compelling commercial narrative. Optimise the transition from a one time kit purchase to a long term health membership, balancing immediate revenue with Life Time Value (LTV). Use data (e.g. Mixpanel) to identify friction. You don't just report data; you provide the "so what" that changes our trajectory. You will lead by example in discovery, documentation (PRDs), and data led decision making. Serve as a strategic partner to Engineering, Branding and Commercial ensuring the e commerce roadmap is aligned with broader company milestones. Who you are 5+ years in Product Management, ideally within E commerce or Growth. Familiarity with modern commerce stacks (Shopify, Headless CMS, or custom built checkout engines). You don't wait for a roadmap; you build it. You thrive in fast paced environments where you need to manage multiple high stakes stakeholders simultaneously. You can explain a complex technical trade off to a non technical founder just as easily as you can discuss API architecture with an engineer. You have a track record of mentoring others. You take pride in seeing your mentees succeed and are skilled at giving constructive, high tension feedback. Our Hiring Process We value your time and aim for a transparent, efficient experience. Our process is designed to evaluate your strategic thinking, technical commerce expertise, and alignment with our mission to improve global health. Talent Acquisition Screen (30 min). We'll dive into your background, your career motivations, and your initial "why" for joining ZOE. Hiring Manager Deep Dive (30 min). This is a high level technical and strategic conversation covering your experience scaling e commerce platforms and your approach to product ownership. The Remote Loop. We don't do back to back marathon interviews. Instead, we schedule these three sessions over a window of 10 working days to give you space to be at your best. Case Study & Deep Dive (60 min): You will receive a brief e commerce challenge (intended to take 4 hours) focusing on a ZOE specific product problem. You'll present your strategy followed by a technical and UX deep dive with a panel of interviewers. Cross Functional Partnership (45 min): You'll meet your future partners. We'll explore how you translate complex biological data into a commercial narrative and how you manage high stakes stakeholder trade offs. Leadership & Values (45 min): A final session with our CPO and CEO. This is about "Founder Mentality", discussing long term vision, ethical health tech dilemmas, and your track record of mentoring and elevating those around you. Ready to thrive? We want to hear from you The experience, skills, and attributes we've outlined are what we believe will help someone truly thrive in this role. However, we understand that talent comes in many forms. If you are genuinely excited about ZOE's mission and this opportunity, please don't hesitate to apply-even if you don't meet every single requirement listed. We fundamentally value potential and commitment above all else. We are dedicated to fostering growth and providing opportunities for you to learn and develop alongside us.
Feb 13, 2026
Full time
About the team You'll join ZOE's Product team, which sets product direction across the company. This is not a feature-delivery role - PMs at ZOE are expected to think strategically, make decisions, and own outcomes. You'll define problems, make trade-offs, and work closely with partners across Engineering, Design, Data Science, and Nutrition Science. Reporting directly to the Chief Product Officer, you'll work with Product leadership to build and scale an app designed to improve the health of millions. As part of the centralised Product team, you'll help drive a consistent experience across the ZOE ecosystem and ship products grounded in science and real user impact. About the role & impact As the Product Manager for our E-commerce Platform, you will own the technical foundation that powers how people discover, evaluate, and purchase ZOE. This role is about building the right platform for growth: scalable, reliable, and designed for rapid experimentation. You'll ensure teams can move fast, test ideas, and learn what truly helps users get started on their health journey. You are the gateway into ZOE. The choices you make determine how easily people can access our science and begin improving their health. You'll work closely with Engineering, Design, Data, and Science partners to translate complex health and microbiome concepts into a clear, trustworthy experience, without compromising scientific integrity. You'll define platform capabilities, set standards for experimentation and measurement, and make trade-offs that balance speed, quality, and long term scalability. When you succeed, more people reach the science and health they deserve, and ZOE has a platform built to grow with them. What you will do Lead the strategy for our web storefront and checkout flows, turning complex biological testing concepts into a frictionless, high converting experience. Collaborate with our world class scientists to translate Gut Microbiome, Blood Sugar, and Blood Fat insights into a compelling commercial narrative. Optimise the transition from a one time kit purchase to a long term health membership, balancing immediate revenue with Life Time Value (LTV). Use data (e.g. Mixpanel) to identify friction. You don't just report data; you provide the "so what" that changes our trajectory. You will lead by example in discovery, documentation (PRDs), and data led decision making. Serve as a strategic partner to Engineering, Branding and Commercial ensuring the e commerce roadmap is aligned with broader company milestones. Who you are 5+ years in Product Management, ideally within E commerce or Growth. Familiarity with modern commerce stacks (Shopify, Headless CMS, or custom built checkout engines). You don't wait for a roadmap; you build it. You thrive in fast paced environments where you need to manage multiple high stakes stakeholders simultaneously. You can explain a complex technical trade off to a non technical founder just as easily as you can discuss API architecture with an engineer. You have a track record of mentoring others. You take pride in seeing your mentees succeed and are skilled at giving constructive, high tension feedback. Our Hiring Process We value your time and aim for a transparent, efficient experience. Our process is designed to evaluate your strategic thinking, technical commerce expertise, and alignment with our mission to improve global health. Talent Acquisition Screen (30 min). We'll dive into your background, your career motivations, and your initial "why" for joining ZOE. Hiring Manager Deep Dive (30 min). This is a high level technical and strategic conversation covering your experience scaling e commerce platforms and your approach to product ownership. The Remote Loop. We don't do back to back marathon interviews. Instead, we schedule these three sessions over a window of 10 working days to give you space to be at your best. Case Study & Deep Dive (60 min): You will receive a brief e commerce challenge (intended to take 4 hours) focusing on a ZOE specific product problem. You'll present your strategy followed by a technical and UX deep dive with a panel of interviewers. Cross Functional Partnership (45 min): You'll meet your future partners. We'll explore how you translate complex biological data into a commercial narrative and how you manage high stakes stakeholder trade offs. Leadership & Values (45 min): A final session with our CPO and CEO. This is about "Founder Mentality", discussing long term vision, ethical health tech dilemmas, and your track record of mentoring and elevating those around you. Ready to thrive? We want to hear from you The experience, skills, and attributes we've outlined are what we believe will help someone truly thrive in this role. However, we understand that talent comes in many forms. If you are genuinely excited about ZOE's mission and this opportunity, please don't hesitate to apply-even if you don't meet every single requirement listed. We fundamentally value potential and commitment above all else. We are dedicated to fostering growth and providing opportunities for you to learn and develop alongside us.
Research Engineer The Role We are seeking an experienced and motivated engineer or scientist to support the development of low Technology Readiness Level (TRL) research concepts. This role involves designing, building, testing and analysing prototype systems so they can be evaluated for future capability click apply for full job details
Feb 13, 2026
Full time
Research Engineer The Role We are seeking an experienced and motivated engineer or scientist to support the development of low Technology Readiness Level (TRL) research concepts. This role involves designing, building, testing and analysing prototype systems so they can be evaluated for future capability click apply for full job details
The Alan Turing Institute
Cheltenham, Gloucestershire
The Alan Turing Institute Named in honour of Alan Turing , the Institute is a place for inspiring, exciting work and we need passionate, sharp, and innovative people who want to use their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better. Please find more information about us here BACKGROUND The Defence & National Security programme at the Turing is looking to expand Turing Integrated Research Engineering (TIRE) , a high performing team of research engineers working on real-world problems aligned with securing the UK. Following in the footsteps of the institute s namesake, Alan Turing, TIRE operates at the intersection of mathematics, engineering and computing and works in close collaboration with the Turing s National Security partners. This is a hybrid role, based at the hub8 working space in Cheltenham, please note that it is not based at our London office. Eligibility for DV clearance is an essential requirement for this role. Eligibility criteria and further information on the process can be found on the UK Government security vetting website . We require essential information in your cover letter to progress your application. Details available under Application Procedure on our portal. CANDIDATE PROFILE The ideal candidate would have a Masers degree or equivalent professional experience in a field with signifcant use of both computer programming and advanced algorithmic, statistical or numerical techniques. Professional experience in a field or sector with significant use of both computer programming and advanced algorithmic, statistical or numerical techniques is essential as well as fluency in one or more modern programming languages used in data science. We work in Python mainly but use of other programming languages and a willingness to learn new languages is important. Experience of working with senior stakeholders is desirable. DUTIES AND AREAS OF RESPONSIBILITY Understand the problems of the Turing s partners and develop appropriate approaches. Perform experiments and develop capabilities, which might include: building and deploying machine learning models; applying data science, statistical and algorithmic techniques to data; building microservices, data processing/engineering systems and platforms or developing user interfaces and/or visualisations. Develop, implement and adapt state-of-the-art and novel data science and artificial intelligence techniques emerging from the Institute and elsewhere to problems faced by the Turing s partners. Please see our portal for a full breakdown of the Job Description. Terms and Conditions This full-time post is offered on a permanent basis. The annual salary is £45,505-£51,241 plus excellent benefits including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute This is a hybrid role, based at the hub8 working space in Cheltenham, please note that it is not based at our London office. Application procedure Please see our jobs portal for full details on how to apply and the interview process. As this role requires eligibility for Developed Vetting (DV) clearance, it is an essential part of the application process that you include the information requested as part of your cover letter. This is explained on our jobs portal. Equality Diversity and Inclusion We are committed to making our recruitment process accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to find out how we can assist you.
Feb 13, 2026
Full time
The Alan Turing Institute Named in honour of Alan Turing , the Institute is a place for inspiring, exciting work and we need passionate, sharp, and innovative people who want to use their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better. Please find more information about us here BACKGROUND The Defence & National Security programme at the Turing is looking to expand Turing Integrated Research Engineering (TIRE) , a high performing team of research engineers working on real-world problems aligned with securing the UK. Following in the footsteps of the institute s namesake, Alan Turing, TIRE operates at the intersection of mathematics, engineering and computing and works in close collaboration with the Turing s National Security partners. This is a hybrid role, based at the hub8 working space in Cheltenham, please note that it is not based at our London office. Eligibility for DV clearance is an essential requirement for this role. Eligibility criteria and further information on the process can be found on the UK Government security vetting website . We require essential information in your cover letter to progress your application. Details available under Application Procedure on our portal. CANDIDATE PROFILE The ideal candidate would have a Masers degree or equivalent professional experience in a field with signifcant use of both computer programming and advanced algorithmic, statistical or numerical techniques. Professional experience in a field or sector with significant use of both computer programming and advanced algorithmic, statistical or numerical techniques is essential as well as fluency in one or more modern programming languages used in data science. We work in Python mainly but use of other programming languages and a willingness to learn new languages is important. Experience of working with senior stakeholders is desirable. DUTIES AND AREAS OF RESPONSIBILITY Understand the problems of the Turing s partners and develop appropriate approaches. Perform experiments and develop capabilities, which might include: building and deploying machine learning models; applying data science, statistical and algorithmic techniques to data; building microservices, data processing/engineering systems and platforms or developing user interfaces and/or visualisations. Develop, implement and adapt state-of-the-art and novel data science and artificial intelligence techniques emerging from the Institute and elsewhere to problems faced by the Turing s partners. Please see our portal for a full breakdown of the Job Description. Terms and Conditions This full-time post is offered on a permanent basis. The annual salary is £45,505-£51,241 plus excellent benefits including flexible working and family friendly policies, Employee-only benefits guide The Alan Turing Institute This is a hybrid role, based at the hub8 working space in Cheltenham, please note that it is not based at our London office. Application procedure Please see our jobs portal for full details on how to apply and the interview process. As this role requires eligibility for Developed Vetting (DV) clearance, it is an essential part of the application process that you include the information requested as part of your cover letter. This is explained on our jobs portal. Equality Diversity and Inclusion We are committed to making our recruitment process accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to find out how we can assist you.
The Alan Turing Institute
Cheltenham, Gloucestershire
The Alan Turing Institute Named in honour of Alan Turing, the Institute is a place for inspiring, exciting work and we need passionate, sharp, and innovative people who want to use their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better. Please find more information about us here BACKGROUND The Defence & National Security programme at the Turing is looking to expand Turing Integrated Research Engineering (TIRE) , a high performing team of research engineers working on real-world problems aligned with securing the UK. Following in the footsteps of the institute s namesake, Alan Turing, TIRE operates at the intersection of mathematics, engineering and computing and works in close collaboration with the Turing s National Security partners. This is a hybrid role, based at the hub8 working space in Cheltenham, please note that it is not based at our London office. Eligibility for DV clearance is an essential requirement for this role. Eligibility criteria and further information on the process can be found on the UK Government security vetting website . We require essential information in your cover letter to progress your application. Details available under Application Procedure on our portal. CANDIDATE PROFILE The ideal candidate would have a PhD degree or equivalent professional experience in a field with significant use of both computer programming and advanced algorithmic, statistical or numerical techniques. Experience in a field or sector with significant use of both computer programming and advanced algorithmic, statistical or numerical techniques is essential as well as fluency in one or more modern programming languages used in data science. We work in Python mainly but use of other programming languages and a willingness to learn new languages is important. As this is a Senior role we are looking for someone who has experience of managing and influencing senior stakeholders and can lead a project to a successful conclusion. DUTIES AND AREAS OF RESPONSIBILITY Understand the problems of the Turing s partners and develop appropriate approaches. Provide technical leadership for research sub-projects, ensuring successful outcomes. Line-manage other staff within the group, supporting their career development aspirations. Take ownership of a particular domain challenge area or methodology for the group. Develop new projects in conjunction with the group lead and other colleagues. Please see our portal for a full breakdown of the Job Description. Terms and Conditions This full-time post is offered on a permanent basis. The annual salary is £54,612 -£62,381 plus excellent benefits including flexible working and family friendly policies , Employee-only benefits guide The Alan Turing Institute This is a hybrid role, based at the hub8 working space in Cheltenham, please note that it is not based at our London office. Application procedure Please see our jobs portal for full details on how to apply and the interview process. As this role requires eligibility for Developed Vetting (DV) clearance, it is an essential part of the application process that you include the information requested as part of your cover letter. This is explained on our jobs portal. Equality Diversity and Inclusion We are committed to making our recruitment process accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to find out how we can assist you.
Feb 13, 2026
Full time
The Alan Turing Institute Named in honour of Alan Turing, the Institute is a place for inspiring, exciting work and we need passionate, sharp, and innovative people who want to use their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better. Please find more information about us here BACKGROUND The Defence & National Security programme at the Turing is looking to expand Turing Integrated Research Engineering (TIRE) , a high performing team of research engineers working on real-world problems aligned with securing the UK. Following in the footsteps of the institute s namesake, Alan Turing, TIRE operates at the intersection of mathematics, engineering and computing and works in close collaboration with the Turing s National Security partners. This is a hybrid role, based at the hub8 working space in Cheltenham, please note that it is not based at our London office. Eligibility for DV clearance is an essential requirement for this role. Eligibility criteria and further information on the process can be found on the UK Government security vetting website . We require essential information in your cover letter to progress your application. Details available under Application Procedure on our portal. CANDIDATE PROFILE The ideal candidate would have a PhD degree or equivalent professional experience in a field with significant use of both computer programming and advanced algorithmic, statistical or numerical techniques. Experience in a field or sector with significant use of both computer programming and advanced algorithmic, statistical or numerical techniques is essential as well as fluency in one or more modern programming languages used in data science. We work in Python mainly but use of other programming languages and a willingness to learn new languages is important. As this is a Senior role we are looking for someone who has experience of managing and influencing senior stakeholders and can lead a project to a successful conclusion. DUTIES AND AREAS OF RESPONSIBILITY Understand the problems of the Turing s partners and develop appropriate approaches. Provide technical leadership for research sub-projects, ensuring successful outcomes. Line-manage other staff within the group, supporting their career development aspirations. Take ownership of a particular domain challenge area or methodology for the group. Develop new projects in conjunction with the group lead and other colleagues. Please see our portal for a full breakdown of the Job Description. Terms and Conditions This full-time post is offered on a permanent basis. The annual salary is £54,612 -£62,381 plus excellent benefits including flexible working and family friendly policies , Employee-only benefits guide The Alan Turing Institute This is a hybrid role, based at the hub8 working space in Cheltenham, please note that it is not based at our London office. Application procedure Please see our jobs portal for full details on how to apply and the interview process. As this role requires eligibility for Developed Vetting (DV) clearance, it is an essential part of the application process that you include the information requested as part of your cover letter. This is explained on our jobs portal. Equality Diversity and Inclusion We are committed to making our recruitment process accessible and inclusive. This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at to find out how we can assist you.
Overview Lead Data Scientist, AL/ML About Cognizant Consulting Cognizant Consulting is a global community of experts dedicated to helping clients reimagine their business - blending deep industry and technology advisory capability to create innovative solutions for Fortune 500 clients. And now, we're looking for our next colleague who'll join us in shaping the future of business. Could it be you? About the role As a Lead Data Scientist, AI/ML, you will design, build, and operationalise modern analytics solutions that drive measurable value. You will also take on leadership responsibilities-guiding small, high performing teams as they deliver impactful AI initiatives. You'll work closely with business stakeholders, product owners, architects, and cross-functional delivery teams to embed AI/ML into digital products and services, ensuring that complex technical insights translate into clear, compelling business outcomes. In this role, you will Apply advanced statistical and scientific methods (e.g., hypothesis testing, inference) to frame problems, validate assumptions, and quantify impact. Engineer and integrate data across structured and unstructured sources; oversee data wrangling and feature engineering for production grade pipelines. Build and guide development of models using Python and libraries such as scikit learn, pandas, numpy, and develop deep learning solutions using TensorFlow and PyTorch. Process big data at scale using Spark and cloud native tools (e.g., AWS Glue, Azure Data Factory). Operationalise ML solutions using MLOps practices-CI/CD for models, reproducible training, and automated deployment. Deliver applied ML and AI across predictive analytics, time series forecasting, anomaly detection, NLP, computer vision, and Generative AI (e.g., retrieval systems, chatbots). Govern and monitor models in cloud environments; establish retraining schedules, performance monitoring, and risk controls. Design machine learning architectures that support pre sales engagements and accelerate the successful initiation of new projects. Lead agile delivery practices (Scrum/SAFe) using tools such as JIRA and Trello; ensure backlog health and delivery quality. Coach, mentor, and develop team members; advocate for data driven decision making across the organisation. Think strategically about data collection, metric design, and ethical AI-driving responsible and transparent use of data. Work model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 2-3 days a week in a client or Cognizant office in London, UK. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. What you must have to be considered 5+ years of hands on experience in statistical methods and ML engineering across the end to end lifecycle (data prep modelling deployment monitoring). Proficiency in Python and strong command of ML/DS libraries (scikit learn, pandas, numpy, TensorFlow/PyTorch). Experience working with GCP, AWS and Azure data services. Demonstrated MLOps expertise (CI/CD, model registries, reproducible training, automated deployment). Ability to communicate technical insights clearly to non technical audiences; strong storytelling with data. Proven agile delivery experience; confident in facilitating ceremonies and partnering with product owners. Strong grounding in data security and compliance, especially in regulated industries (e.g., BFSI, healthcare, life sciences). Working knowledge of cloud native software architecture, service design/design thinking, and version control (Git). Experience leading small AI teams and mentoring junior data scientists on AI/ML initiatives. These will help you succeed (nice to haves) Experience designing gen-AI and agentic AI architectures (e.g., using Google's ADK or similar frameworks). Background in real time analytics and event driven architectures. Prior consulting experience (client facing, pre sales, solutioning) and domain expertise. A strong track record of driving innovation and accelerating the adoption of advanced analytics in complex organisations. We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
Feb 13, 2026
Full time
Overview Lead Data Scientist, AL/ML About Cognizant Consulting Cognizant Consulting is a global community of experts dedicated to helping clients reimagine their business - blending deep industry and technology advisory capability to create innovative solutions for Fortune 500 clients. And now, we're looking for our next colleague who'll join us in shaping the future of business. Could it be you? About the role As a Lead Data Scientist, AI/ML, you will design, build, and operationalise modern analytics solutions that drive measurable value. You will also take on leadership responsibilities-guiding small, high performing teams as they deliver impactful AI initiatives. You'll work closely with business stakeholders, product owners, architects, and cross-functional delivery teams to embed AI/ML into digital products and services, ensuring that complex technical insights translate into clear, compelling business outcomes. In this role, you will Apply advanced statistical and scientific methods (e.g., hypothesis testing, inference) to frame problems, validate assumptions, and quantify impact. Engineer and integrate data across structured and unstructured sources; oversee data wrangling and feature engineering for production grade pipelines. Build and guide development of models using Python and libraries such as scikit learn, pandas, numpy, and develop deep learning solutions using TensorFlow and PyTorch. Process big data at scale using Spark and cloud native tools (e.g., AWS Glue, Azure Data Factory). Operationalise ML solutions using MLOps practices-CI/CD for models, reproducible training, and automated deployment. Deliver applied ML and AI across predictive analytics, time series forecasting, anomaly detection, NLP, computer vision, and Generative AI (e.g., retrieval systems, chatbots). Govern and monitor models in cloud environments; establish retraining schedules, performance monitoring, and risk controls. Design machine learning architectures that support pre sales engagements and accelerate the successful initiation of new projects. Lead agile delivery practices (Scrum/SAFe) using tools such as JIRA and Trello; ensure backlog health and delivery quality. Coach, mentor, and develop team members; advocate for data driven decision making across the organisation. Think strategically about data collection, metric design, and ethical AI-driving responsible and transparent use of data. Work model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 2-3 days a week in a client or Cognizant office in London, UK. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. What you must have to be considered 5+ years of hands on experience in statistical methods and ML engineering across the end to end lifecycle (data prep modelling deployment monitoring). Proficiency in Python and strong command of ML/DS libraries (scikit learn, pandas, numpy, TensorFlow/PyTorch). Experience working with GCP, AWS and Azure data services. Demonstrated MLOps expertise (CI/CD, model registries, reproducible training, automated deployment). Ability to communicate technical insights clearly to non technical audiences; strong storytelling with data. Proven agile delivery experience; confident in facilitating ceremonies and partnering with product owners. Strong grounding in data security and compliance, especially in regulated industries (e.g., BFSI, healthcare, life sciences). Working knowledge of cloud native software architecture, service design/design thinking, and version control (Git). Experience leading small AI teams and mentoring junior data scientists on AI/ML initiatives. These will help you succeed (nice to haves) Experience designing gen-AI and agentic AI architectures (e.g., using Google's ADK or similar frameworks). Background in real time analytics and event driven architectures. Prior consulting experience (client facing, pre sales, solutioning) and domain expertise. A strong track record of driving innovation and accelerating the adoption of advanced analytics in complex organisations. We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
We are looking for a skilled mid-Level Data Engineer with a passion for building reliable and scalable data pipelines to power cutting-edge genAI products. The ideal person would have strong commercial experience in real-time data engineering and cloud technologies, and be able to apply this expertise to business problems to generate value. We currently work in an AWS, Snowflake, dbt, Looker, Python, Kinesis and Airflow stack and are building out our real-time data streaming capabilities using Kafka. You should be comfortable with these or comparable technologies. As an individual contributor, you will take ownership of well-defined projects, collaborate with senior colleagues on architectural decisions, and contribute to improving data engineering standards, documentation, and team practice. The successful candidate will join our cross functional development teams and actively participate in our agile delivery process. Our dynamic Data & AI team will also support you, and you will benefit from talking data with our other data engineers, data scientists, and ML and analytics engineers. Responsibilities Contribute to our data engineering roadmap. Collaborate with senior data engineers on data architecture plans. Managing Kafka in production Collaborating with cross-functional teams to develop and implement robust, scalable solutions. Supporting the elicitation and development of technical requirements. Building, maintaining and improving data pipelines and self-service tooling to provide clean, efficient results. Develop automated tests and monitoring to ensure data quality and data pipeline reliability. Implement best practices in data governance through documentation, observability and controls. Using version control and contributing to code reviews. Supporting the adoption of tools and best practices across the team. Mentoring junior colleagues where appropriate. Requirements Essential: Solid commercial experience in a mid-level data engineering role. Excellent production-grade Python skills. Previous experience with real-time data streaming platforms such as Kafka/Confluent/Google Cloud Pub/Sub. Experience handling and validating real-time data. Experience with stream processing frameworks such as Faust/Flink/Kafka Streams, or similar. Comfortable with database technologies such as Snowflake/PostgreSQL and NoSQL technologies such as Elasticsearch/MongoDB/Redis or similar. Proficient with ELT pipelines and the full data lifecycle, including managing data pipelines over time. Good communication skills and the ability to collaborate effectively with engineers, product managers and other internal stakeholders. Desirable: An understanding of JavaScript/TypeScript. An understanding of Docker. Experience with Terraform Experience with EKS/Kubernetes Experience developing APIs. Studies have shown that women and people who are disabled, LGBTQ+, neurodiverse or from ethnic minority backgrounds are less likely to apply for jobs unless they meet every single qualification and criteria. We're committed to building a diverse, inclusive, and authentic workplace where everyone can be their best, so if you're excited about this role but your past experience doesn't align perfectly with every requirement on the Job Description, please apply anyway - you may just be the right candidate for this or other roles in our wider team. Benefits Salary up to £65,000 Medicash healthcare scheme (reclaim costs for dental, physiotherapy, osteopathy and optical care) Life Insurance scheme 25 days holiday + bank holidays + your birthday off (rising to 28 after 3 consecutive years with the business & 30 after 5 years) Employee Assistance Programme (confidential counselling) Gogeta nursery salary sacrifice scheme (save up to 40% per year) Enhanced parental leave and pay including 26 weeks' full maternity pay and 8 weeks' paternity leave
Feb 13, 2026
Full time
We are looking for a skilled mid-Level Data Engineer with a passion for building reliable and scalable data pipelines to power cutting-edge genAI products. The ideal person would have strong commercial experience in real-time data engineering and cloud technologies, and be able to apply this expertise to business problems to generate value. We currently work in an AWS, Snowflake, dbt, Looker, Python, Kinesis and Airflow stack and are building out our real-time data streaming capabilities using Kafka. You should be comfortable with these or comparable technologies. As an individual contributor, you will take ownership of well-defined projects, collaborate with senior colleagues on architectural decisions, and contribute to improving data engineering standards, documentation, and team practice. The successful candidate will join our cross functional development teams and actively participate in our agile delivery process. Our dynamic Data & AI team will also support you, and you will benefit from talking data with our other data engineers, data scientists, and ML and analytics engineers. Responsibilities Contribute to our data engineering roadmap. Collaborate with senior data engineers on data architecture plans. Managing Kafka in production Collaborating with cross-functional teams to develop and implement robust, scalable solutions. Supporting the elicitation and development of technical requirements. Building, maintaining and improving data pipelines and self-service tooling to provide clean, efficient results. Develop automated tests and monitoring to ensure data quality and data pipeline reliability. Implement best practices in data governance through documentation, observability and controls. Using version control and contributing to code reviews. Supporting the adoption of tools and best practices across the team. Mentoring junior colleagues where appropriate. Requirements Essential: Solid commercial experience in a mid-level data engineering role. Excellent production-grade Python skills. Previous experience with real-time data streaming platforms such as Kafka/Confluent/Google Cloud Pub/Sub. Experience handling and validating real-time data. Experience with stream processing frameworks such as Faust/Flink/Kafka Streams, or similar. Comfortable with database technologies such as Snowflake/PostgreSQL and NoSQL technologies such as Elasticsearch/MongoDB/Redis or similar. Proficient with ELT pipelines and the full data lifecycle, including managing data pipelines over time. Good communication skills and the ability to collaborate effectively with engineers, product managers and other internal stakeholders. Desirable: An understanding of JavaScript/TypeScript. An understanding of Docker. Experience with Terraform Experience with EKS/Kubernetes Experience developing APIs. Studies have shown that women and people who are disabled, LGBTQ+, neurodiverse or from ethnic minority backgrounds are less likely to apply for jobs unless they meet every single qualification and criteria. We're committed to building a diverse, inclusive, and authentic workplace where everyone can be their best, so if you're excited about this role but your past experience doesn't align perfectly with every requirement on the Job Description, please apply anyway - you may just be the right candidate for this or other roles in our wider team. Benefits Salary up to £65,000 Medicash healthcare scheme (reclaim costs for dental, physiotherapy, osteopathy and optical care) Life Insurance scheme 25 days holiday + bank holidays + your birthday off (rising to 28 after 3 consecutive years with the business & 30 after 5 years) Employee Assistance Programme (confidential counselling) Gogeta nursery salary sacrifice scheme (save up to 40% per year) Enhanced parental leave and pay including 26 weeks' full maternity pay and 8 weeks' paternity leave
Position Overview This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal Research Scientist in United Kingdom. This is a highly impactful research leadership role focused on advancing knowledge integrity in online communities. You will lead a strategic portfolio of research projects, mentor individual contributors, and translate complex scientific findings into actionable recommendations for decision-makers across the organization. The role requires close collaboration with cross-functional teams, including legal, communications, and product, while engaging with global scientific stakeholders. You will shape the direction of research on content quality, governance, and trust, driving initiatives that influence both internal strategy and the broader information ecosystem. This fully remote position offers the opportunity to operate at the intersection of science, technology, and community, with visibility and influence on a global scale. Travel up to four times per year is expected for collaboration and engagement with key partners. Accountabilities Lead a strategic research portfolio focused on knowledge integrity, content quality, and governance in online communities. Maintain an up-to-date understanding of global research landscapes to inform organizational strategy and risk management. Mentor and guide individual contributors, ensuring high-quality, high-impact scientific output. Translate complex research findings into actionable recommendations for leadership and cross-functional teams. Conduct rapid technical vetting of external research to identify risks, opportunities, and insights. Represent the organization in research advocacy, public engagement, and collaborations with scientific communities and standards organizations. Build and sustain strategic relationships to influence industry best practices and standards in knowledge integrity research. Requirements PhD and a minimum of five years of professional experience in a related field. 3+ years of strategic technical leadership in large matrixed organizations, research institutions, or equivalent academic experience. Proven record of scholarly publications and service to research communities, including human-computer interaction or computational social science. Advanced expertise in AI, NLP, ML frameworks, or mixed-method research applied to online community governance and human-system interaction. Ability to distill complex scientific findings into clear, actionable insights for non-technical stakeholders. Strong portfolio management skills, balancing high-level strategy with technical execution. Experience auditing algorithms for bias, accuracy, and organizational impact is preferred. Comfort operating in highly visible, public-facing roles and engaging with diverse, multicultural communities. Open to remote work with availability for critical meetings between 15:00 to 19:00 UTC and up to four annual travel events. Benefits Fully remote position with a global, mission-driven organization. Competitive and equitable salary with adjustments based on location. Opportunities to lead impactful research with real-world applications and influence organizational strategy. Access to professional development, collaboration with senior leadership, and engagement with global scientific communities. Inclusive and diverse work environment with commitment to equity and transparency. Support for travel and remote work setup.
Feb 13, 2026
Full time
Position Overview This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal Research Scientist in United Kingdom. This is a highly impactful research leadership role focused on advancing knowledge integrity in online communities. You will lead a strategic portfolio of research projects, mentor individual contributors, and translate complex scientific findings into actionable recommendations for decision-makers across the organization. The role requires close collaboration with cross-functional teams, including legal, communications, and product, while engaging with global scientific stakeholders. You will shape the direction of research on content quality, governance, and trust, driving initiatives that influence both internal strategy and the broader information ecosystem. This fully remote position offers the opportunity to operate at the intersection of science, technology, and community, with visibility and influence on a global scale. Travel up to four times per year is expected for collaboration and engagement with key partners. Accountabilities Lead a strategic research portfolio focused on knowledge integrity, content quality, and governance in online communities. Maintain an up-to-date understanding of global research landscapes to inform organizational strategy and risk management. Mentor and guide individual contributors, ensuring high-quality, high-impact scientific output. Translate complex research findings into actionable recommendations for leadership and cross-functional teams. Conduct rapid technical vetting of external research to identify risks, opportunities, and insights. Represent the organization in research advocacy, public engagement, and collaborations with scientific communities and standards organizations. Build and sustain strategic relationships to influence industry best practices and standards in knowledge integrity research. Requirements PhD and a minimum of five years of professional experience in a related field. 3+ years of strategic technical leadership in large matrixed organizations, research institutions, or equivalent academic experience. Proven record of scholarly publications and service to research communities, including human-computer interaction or computational social science. Advanced expertise in AI, NLP, ML frameworks, or mixed-method research applied to online community governance and human-system interaction. Ability to distill complex scientific findings into clear, actionable insights for non-technical stakeholders. Strong portfolio management skills, balancing high-level strategy with technical execution. Experience auditing algorithms for bias, accuracy, and organizational impact is preferred. Comfort operating in highly visible, public-facing roles and engaging with diverse, multicultural communities. Open to remote work with availability for critical meetings between 15:00 to 19:00 UTC and up to four annual travel events. Benefits Fully remote position with a global, mission-driven organization. Competitive and equitable salary with adjustments based on location. Opportunities to lead impactful research with real-world applications and influence organizational strategy. Access to professional development, collaboration with senior leadership, and engagement with global scientific communities. Inclusive and diverse work environment with commitment to equity and transparency. Support for travel and remote work setup.
Production Scientist Wise Employment are looking for a Production Scientist to join a laboratory-based production team in Rotherham, South Yorkshire. This amazing opportunity is a full-time Permanent position, where you will earn a salary of £28,000 a year and have access to some benefits such as 25 days' holiday, a health plan, contributory pension, training and development and excellent amenities click apply for full job details
Feb 13, 2026
Full time
Production Scientist Wise Employment are looking for a Production Scientist to join a laboratory-based production team in Rotherham, South Yorkshire. This amazing opportunity is a full-time Permanent position, where you will earn a salary of £28,000 a year and have access to some benefits such as 25 days' holiday, a health plan, contributory pension, training and development and excellent amenities click apply for full job details
Lead Data Scientist - Marketing Science Leicester, UK (Hybrid) Up to £75,000 DOE iO Associates are aligned with one of the UK's most recognised and fast-scaling retail powerhouses, operating at significant scale within a highly data-driven eCommerce environment where analytics directly shapes commercial performance. This role will lead advanced marketing science initiatives, delivering machine learni
Feb 13, 2026
Full time
Lead Data Scientist - Marketing Science Leicester, UK (Hybrid) Up to £75,000 DOE iO Associates are aligned with one of the UK's most recognised and fast-scaling retail powerhouses, operating at significant scale within a highly data-driven eCommerce environment where analytics directly shapes commercial performance. This role will lead advanced marketing science initiatives, delivering machine learni
Job description Site Name: USA - Pennsylvania - Upper Providence, Cambridge 300 Technology Square, UK - Hertfordshire - Stevenage Posted Date: Feb 6 2026 At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting edge technology to transform people's lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients' needs and have the highest probability of success. We're uniting science, technology, and talent to get ahead of disease together. Find out more: Our approach to R&D Position Summary We are seeking a talented and motivated individual to join our team as a Principal Scientist/Senior Principal Scientist in Applied Genetics within the R&D Translational Sciences team. The R&D Translational Sciences group generates and applies human genetics, genomics, and biomarker insights into key GSK disease areas and product strategies. The successful candidate will have experience in human genetics, statistical genetics, genetic epidemiology, or a related discipline with high computational skills, and will be excited to apply their expertise in human genetics to the development of new medicines. The Principal Scientist/Senior Principal Scientist will be responsible for performing human genetics & statistical genetics analyses in key disease areas, evaluating genetic evidence and causal biology in support of therapeutic target hypotheses, evaluating and implementing new analytical methods, and effectively communicating their results and interpretation to peers and leaders. They will have experience working in multi-disciplinary teams to answer complex scientific questions. This role will provide you the opportunity to lead key activities to progress your career. Key Responsibilities Apply expertise in human genetics, statistical genetics, genetic epidemiology, or a related discipline to support the development of new medicines. Contribute to the ongoing development and iteration of scaled and automated genetic assessment tools to support the advancing science of drug target identification and validation. Develop and/or critically evaluate new methods to derive and apply genetic insights to support the development of therapeutic target hypotheses. Perform and apply at scale and bespoke computational and statistical analyses (e.g., GWAS, WGS, Mendelian Randomization, rare variant association testing, and variant to gene mapping) and implement new analytical methods to infer molecular mechanisms to elucidate and interrogate therapeutic hypotheses. Evaluate genetic and causal biology evidence to support therapeutic target hypotheses and provide clear and concise communication of results and interpretation to peers and leaders. Collaborate effectively in multi disciplinary teams (internal and external) to answer complex scientific questions. Identify and implement creative solutions to address challenging scientific questions. Why You? Basic Qualifications Ph.D in human genetics, statistical genetics, genetic epidemiology, or related disciplines with strong computational and quantitative focus. Experience in development, critical evaluation and application of analyses methods to answer complex scientific questions. Experience in performing analyses and the interpretation of findings of large scale population based genetic studies (e.g., GWAS and WES/WGS approaches, MR and variant to gene mapping). Experience evaluating and integrating genetic and genomic data to evaluate strength of causal genetic evidence (e.g., QTL mapping & integration, causal inference, pathway enrichment). Proficient in programming/scripting in R or Python and working within cloud based computing platforms (e.g., AWS and/or Google Cloud). Experience in working with genetics databases and resources including key biobanks and disease specific consortia data sources. Preferred Qualifications Experience working in multi disciplinary teams to answer scientific questions and influence scientific plans/project decisions. Excellent communication skills to effectively convey complex scientific concepts to peers and leaders. Proactive and innovative mindset with the ability to identify and implement creative solutions and demonstrated strong problem solving skills. Ability to work flexibly and adapt to changing priorities and timelines. Passion for advancing the science of drug target identification and validation. Experience in software development, both independently and as part of a team, developing well documented solutions that other scientists can use, understand and debug. Strong understanding and experience with implementation of FAIR data principles. Work model This role is based in the United States and follows a hybrid working model under GSK's Performance with Choice approach. You will balance on site collaboration with focused remote work. How to apply If this role matches your skills and purpose, we want to hear from you. Please apply with your CV and a short message describing how your experience maps to the role and the impact you want to make. We welcome applicants from all backgrounds and encourage people who value inclusion, teamwork and learning to apply. If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $121,275 to $202,125. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at where you can also request a call. Please note should your inquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the link where you will find answers to multiple questions we receive. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information . click apply for full job details
Feb 13, 2026
Full time
Job description Site Name: USA - Pennsylvania - Upper Providence, Cambridge 300 Technology Square, UK - Hertfordshire - Stevenage Posted Date: Feb 6 2026 At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting edge technology to transform people's lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients' needs and have the highest probability of success. We're uniting science, technology, and talent to get ahead of disease together. Find out more: Our approach to R&D Position Summary We are seeking a talented and motivated individual to join our team as a Principal Scientist/Senior Principal Scientist in Applied Genetics within the R&D Translational Sciences team. The R&D Translational Sciences group generates and applies human genetics, genomics, and biomarker insights into key GSK disease areas and product strategies. The successful candidate will have experience in human genetics, statistical genetics, genetic epidemiology, or a related discipline with high computational skills, and will be excited to apply their expertise in human genetics to the development of new medicines. The Principal Scientist/Senior Principal Scientist will be responsible for performing human genetics & statistical genetics analyses in key disease areas, evaluating genetic evidence and causal biology in support of therapeutic target hypotheses, evaluating and implementing new analytical methods, and effectively communicating their results and interpretation to peers and leaders. They will have experience working in multi-disciplinary teams to answer complex scientific questions. This role will provide you the opportunity to lead key activities to progress your career. Key Responsibilities Apply expertise in human genetics, statistical genetics, genetic epidemiology, or a related discipline to support the development of new medicines. Contribute to the ongoing development and iteration of scaled and automated genetic assessment tools to support the advancing science of drug target identification and validation. Develop and/or critically evaluate new methods to derive and apply genetic insights to support the development of therapeutic target hypotheses. Perform and apply at scale and bespoke computational and statistical analyses (e.g., GWAS, WGS, Mendelian Randomization, rare variant association testing, and variant to gene mapping) and implement new analytical methods to infer molecular mechanisms to elucidate and interrogate therapeutic hypotheses. Evaluate genetic and causal biology evidence to support therapeutic target hypotheses and provide clear and concise communication of results and interpretation to peers and leaders. Collaborate effectively in multi disciplinary teams (internal and external) to answer complex scientific questions. Identify and implement creative solutions to address challenging scientific questions. Why You? Basic Qualifications Ph.D in human genetics, statistical genetics, genetic epidemiology, or related disciplines with strong computational and quantitative focus. Experience in development, critical evaluation and application of analyses methods to answer complex scientific questions. Experience in performing analyses and the interpretation of findings of large scale population based genetic studies (e.g., GWAS and WES/WGS approaches, MR and variant to gene mapping). Experience evaluating and integrating genetic and genomic data to evaluate strength of causal genetic evidence (e.g., QTL mapping & integration, causal inference, pathway enrichment). Proficient in programming/scripting in R or Python and working within cloud based computing platforms (e.g., AWS and/or Google Cloud). Experience in working with genetics databases and resources including key biobanks and disease specific consortia data sources. Preferred Qualifications Experience working in multi disciplinary teams to answer scientific questions and influence scientific plans/project decisions. Excellent communication skills to effectively convey complex scientific concepts to peers and leaders. Proactive and innovative mindset with the ability to identify and implement creative solutions and demonstrated strong problem solving skills. Ability to work flexibly and adapt to changing priorities and timelines. Passion for advancing the science of drug target identification and validation. Experience in software development, both independently and as part of a team, developing well documented solutions that other scientists can use, understand and debug. Strong understanding and experience with implementation of FAIR data principles. Work model This role is based in the United States and follows a hybrid working model under GSK's Performance with Choice approach. You will balance on site collaboration with focused remote work. How to apply If this role matches your skills and purpose, we want to hear from you. Please apply with your CV and a short message describing how your experience maps to the role and the impact you want to make. We welcome applicants from all backgrounds and encourage people who value inclusion, teamwork and learning to apply. If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $121,275 to $202,125. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at where you can also request a call. Please note should your inquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the link where you will find answers to multiple questions we receive. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information . click apply for full job details
