Our Future Healthis an ambitious collaboration between the public, charity and private sectors, designed to help people live healthier lives for longer through better prevention, earlier detection and improved treatment of diseases. We will speed up the discovery of new methods of early disease detection, and the evaluation of new diagnostic tools, to help identify and treat diseases early, when outcomes are usually better. With over 2.5M volunteers across the UK, we're now the world's biggest health research programme of its kind, and our volunteer group is also more diverse than other, similar health research programmes. Technology and data are central to our mission. Our systems power web sites, clinics across the UK, secure analytics and research systems, pipelines that process highly sensitive health and genetic data, and we are continuing to grow our engineering capability to support this ambition. We're now growing ouranalytics engineering capability, recognising it as critical to unlocking the value of our data. This is a chance to join early, shape the function, and work on genuinely unique health data challenges. TheSenior Analytics Engineer plays a strategic and technical leadership role in enabling high quality, consistent, and scalable analytics across the organisation. This role not only delivers trusted data models but also sets standards, drives best practices, and shapes the direction of analytics engineering. By leading on modelling approaches, mentoring analysts and data scientists, and partnering with stakeholders across the organisation, the role amplifies impact at scale, ensuring analytics is robust, reusable, and aligned to strategic priorities. This role is critical in advancing the organisation's analytics maturity and building a future ready data platform. Why join? Work withlarge scale, real world health data Buildtrusted, reusable data products used across science and business Help developdata quality, testing, and observability from the ground up Enableself serve and AI powered analytics for non technical users Join at an early stage of team growth withreal influence, you'll lead initiatives and work directly with stakeholders Mission led: your work contributes to improving health outcomes at scale You will: Lead development of high quality analytics data models Architect and build scalable, well governed dbt models in Snowflake, including data marts, metrics, and reusable datasets. Define and evolve modelling standards, conventions, and best practices across the organisation. Review and guide implementation of models to ensure consistency, scalability, and performance. Set standards and enable teams Act as a technical leader and mentor for analytics engineers, analysts, and data scientists. Establish best practices for modelling, testing, documentation, and data quality. Enable domain teams to safely own and extend their data models within a governed framework. Strategic partnership with business and science teams Translate complex analytical and research problems into scalable, production grade data models. Shape how metrics and datasets are defined and used across the organisation. Influence stakeholders on best practices in data usage, reproducibility, and analytical design. Improve data quality, documentation, and reproducibility in workflows Own data quality and reliability frameworks Design and implement robust testing, monitoring, and alerting frameworks for analytics data. Define SLAs and data quality standards in collaboration with platform and data engineering teams. Lead root cause analysis and resolution of data quality issues. Drive self serve analytics at scale Own and evolve semantic layers in Snowflake and BI tools (e.g., Omni). Define governed approaches to metrics and self serve analytics. Champion adoption through clear documentation, training, and enablement strategies. Contribute to and shape the Analytics Platform Partner with platform engineers on architecture, performance optimisation, and orchestration. Drive improvements in analytics CI/CD, deployment workflows, and developer experience. Influence data contracts, ingestion patterns, and overall platform design. We're London based (Holborn) and work on a flexible hybrid basis (typically weekly with a team day every 2 weeks). We'd like to prioritise candidates who can reasonably commute and benefit from in person collaboration. We welcome applications from all who may not feel they match the full criteria, so if you have most of the below, we'd like to hear from you: Essential: Significant experience in analytics engineering or a closely related field, including experience operating at a senior level. Strong business and strategic acumen; able to shape metrics, data models, and analytical approaches. Deep expertise in SQL and advanced analytics data modelling. Strong experience with dbt in production environments, including project structuring and best practices. Experience working with modern data warehouses (e.g., Snowflake, Google Big Query) at scale. Proficiency in Python for data workflows, automation, or tooling. Proven experience defining and implementing data quality, testing, and governance frameworks. Experience mentoring others and providing technical leadership. Strong stakeholder management and communication skills, with the ability to influence decision making. Bonus / Desirable Experience designing and scaling semantic layers and metrics frameworks. Exposure to product analytics tools (e.g., Mixpanel, Amplitude). Experience contributing to platform level decisions (e.g., orchestration, CI/CD, performance tuning). Experience working in federated or domain oriented data ownership models (e.g., data mesh). Competitive base salary from £80,000 Generous Pension Scheme - We invest in your future with employer contributions of up to 12% 30 Days Holiday pro rata + Bank Holidays - Enjoy a generous holiday allowance with the flexibility to take bank holidays when it suits you Enhanced Parental Leave - Supporting you during life's biggest moments Cycle to Work Scheme - Save % on a new bike and accessories through salary sacrifice Home & Tech Savings - Get up to 8% off on IKEA and Currys products, spreading the cost over 12 months through salary sacrifice EV Scheme - Save up to 40% on a brand new electric vehicle all inclusive package through salary sacrifice £1,000 Employee Referral Bonus - Know someone amazing? Get rewarded for bringing them on board! Wellbeing Support - Access to Mental Health First Aiders, plus 24/7 online GP services and an Employee Assistance Programme for you and your family A Great Place to Work - We have a lovely Central London office in Holborn, and offer flexible and remote working arrangements Join us - let's prevent disease together. At Our Future Health, we recognise the importance of having a diverse workforce and ensuring that all candidates, regardless of their background, have equitable access to our application process. We proactively encourage applicants who identify as having a disability, neurodiversity, or long term health conditions to let us know if they require any reasonable adjustments as part of their application process. If you require any reasonable adjustments, please email us at
16/05/2026
Full time
Our Future Healthis an ambitious collaboration between the public, charity and private sectors, designed to help people live healthier lives for longer through better prevention, earlier detection and improved treatment of diseases. We will speed up the discovery of new methods of early disease detection, and the evaluation of new diagnostic tools, to help identify and treat diseases early, when outcomes are usually better. With over 2.5M volunteers across the UK, we're now the world's biggest health research programme of its kind, and our volunteer group is also more diverse than other, similar health research programmes. Technology and data are central to our mission. Our systems power web sites, clinics across the UK, secure analytics and research systems, pipelines that process highly sensitive health and genetic data, and we are continuing to grow our engineering capability to support this ambition. We're now growing ouranalytics engineering capability, recognising it as critical to unlocking the value of our data. This is a chance to join early, shape the function, and work on genuinely unique health data challenges. TheSenior Analytics Engineer plays a strategic and technical leadership role in enabling high quality, consistent, and scalable analytics across the organisation. This role not only delivers trusted data models but also sets standards, drives best practices, and shapes the direction of analytics engineering. By leading on modelling approaches, mentoring analysts and data scientists, and partnering with stakeholders across the organisation, the role amplifies impact at scale, ensuring analytics is robust, reusable, and aligned to strategic priorities. This role is critical in advancing the organisation's analytics maturity and building a future ready data platform. Why join? Work withlarge scale, real world health data Buildtrusted, reusable data products used across science and business Help developdata quality, testing, and observability from the ground up Enableself serve and AI powered analytics for non technical users Join at an early stage of team growth withreal influence, you'll lead initiatives and work directly with stakeholders Mission led: your work contributes to improving health outcomes at scale You will: Lead development of high quality analytics data models Architect and build scalable, well governed dbt models in Snowflake, including data marts, metrics, and reusable datasets. Define and evolve modelling standards, conventions, and best practices across the organisation. Review and guide implementation of models to ensure consistency, scalability, and performance. Set standards and enable teams Act as a technical leader and mentor for analytics engineers, analysts, and data scientists. Establish best practices for modelling, testing, documentation, and data quality. Enable domain teams to safely own and extend their data models within a governed framework. Strategic partnership with business and science teams Translate complex analytical and research problems into scalable, production grade data models. Shape how metrics and datasets are defined and used across the organisation. Influence stakeholders on best practices in data usage, reproducibility, and analytical design. Improve data quality, documentation, and reproducibility in workflows Own data quality and reliability frameworks Design and implement robust testing, monitoring, and alerting frameworks for analytics data. Define SLAs and data quality standards in collaboration with platform and data engineering teams. Lead root cause analysis and resolution of data quality issues. Drive self serve analytics at scale Own and evolve semantic layers in Snowflake and BI tools (e.g., Omni). Define governed approaches to metrics and self serve analytics. Champion adoption through clear documentation, training, and enablement strategies. Contribute to and shape the Analytics Platform Partner with platform engineers on architecture, performance optimisation, and orchestration. Drive improvements in analytics CI/CD, deployment workflows, and developer experience. Influence data contracts, ingestion patterns, and overall platform design. We're London based (Holborn) and work on a flexible hybrid basis (typically weekly with a team day every 2 weeks). We'd like to prioritise candidates who can reasonably commute and benefit from in person collaboration. We welcome applications from all who may not feel they match the full criteria, so if you have most of the below, we'd like to hear from you: Essential: Significant experience in analytics engineering or a closely related field, including experience operating at a senior level. Strong business and strategic acumen; able to shape metrics, data models, and analytical approaches. Deep expertise in SQL and advanced analytics data modelling. Strong experience with dbt in production environments, including project structuring and best practices. Experience working with modern data warehouses (e.g., Snowflake, Google Big Query) at scale. Proficiency in Python for data workflows, automation, or tooling. Proven experience defining and implementing data quality, testing, and governance frameworks. Experience mentoring others and providing technical leadership. Strong stakeholder management and communication skills, with the ability to influence decision making. Bonus / Desirable Experience designing and scaling semantic layers and metrics frameworks. Exposure to product analytics tools (e.g., Mixpanel, Amplitude). Experience contributing to platform level decisions (e.g., orchestration, CI/CD, performance tuning). Experience working in federated or domain oriented data ownership models (e.g., data mesh). Competitive base salary from £80,000 Generous Pension Scheme - We invest in your future with employer contributions of up to 12% 30 Days Holiday pro rata + Bank Holidays - Enjoy a generous holiday allowance with the flexibility to take bank holidays when it suits you Enhanced Parental Leave - Supporting you during life's biggest moments Cycle to Work Scheme - Save % on a new bike and accessories through salary sacrifice Home & Tech Savings - Get up to 8% off on IKEA and Currys products, spreading the cost over 12 months through salary sacrifice EV Scheme - Save up to 40% on a brand new electric vehicle all inclusive package through salary sacrifice £1,000 Employee Referral Bonus - Know someone amazing? Get rewarded for bringing them on board! Wellbeing Support - Access to Mental Health First Aiders, plus 24/7 online GP services and an Employee Assistance Programme for you and your family A Great Place to Work - We have a lovely Central London office in Holborn, and offer flexible and remote working arrangements Join us - let's prevent disease together. At Our Future Health, we recognise the importance of having a diverse workforce and ensuring that all candidates, regardless of their background, have equitable access to our application process. We proactively encourage applicants who identify as having a disability, neurodiversity, or long term health conditions to let us know if they require any reasonable adjustments as part of their application process. If you require any reasonable adjustments, please email us at
A health research organization based in Greater London is seeking a Senior Analytics Engineer to lead the development of high-quality data models and drive analytic standards across the organization. This role involves mentoring teams, ensuring data quality, and influencing stakeholders on best practices. Candidates will need significant experience in analytics engineering, strong SQL skills, and expertise with Snowflake and dbt. The position offers a flexible hybrid working arrangement and a competitive salary starting at £80,000.
16/05/2026
Full time
A health research organization based in Greater London is seeking a Senior Analytics Engineer to lead the development of high-quality data models and drive analytic standards across the organization. This role involves mentoring teams, ensuring data quality, and influencing stakeholders on best practices. Candidates will need significant experience in analytics engineering, strong SQL skills, and expertise with Snowflake and dbt. The position offers a flexible hybrid working arrangement and a competitive salary starting at £80,000.
Our Future Health is the UK's largest ever health research programme, bringing people together to transform the future of healthcare. Today, millions of people across the UK live with conditions such as cancer, dementia, diabetes, and heart disease. By bringing together 5 million volunteers from across the UK, Our Future Health is creating one of the most detailed pictures of human health ever assembled. We're looking for a Genetic Data Analyst to join our growing Science team. This is an exciting opportunity for someone who combines strong genetics expertise with excellent communication skills and enjoys working in a fast paced environment, with the desire to take on customer facing responsibilities. You'll play a key role in helping researchers understand whether specific genetic populations can be identified within our dataset; turning complex genetic questions into clear, actionable insights. The Genetic Data Analyst will: Support the translation of feasibility assessments for clinical research into reproducible analytical workflows. Assess variant availability, carrier populations, and allele frequencies across large-scale datasets. Produce clear, well-structured outputs that are understandable and accessible to both scientific and non-scientific audiences. Collaborate with Epidemiologists and Data Scientists on genotype-phenotype feasibility assessments. Contribute to client and stakeholder discussions, explaining findings and limitations confidently. Interpret and communicate genetic data quality metrics and their real world implications. Continuously create and improve workflows, documentation, templates and reports to support a scalable research service. Manage multiple priorities in a dynamic, responsive environment. This role is ideal for someone who is technically strong, highly organised, and naturally communicative, with a desire to grow in a collaborative, client-facing setting. Essential experience MSc (or equivalent experience) in genetics, genomics, bioinformatics, biostatistics, data science or similar Hands on experience working with genetic / variant level datasets Strong understanding of: Variant nomenclature Allele frequencies Carrier status & genotype dosage Imputation and data quality metrics Experience using tools such as PLINK/PLINK2, bcftools, and R or Python Ability to translate complex genetic concepts into clear insights for non-experts Strong documentation skills; able to clearly explain methods, assumptions, and limitations Excellent time management and prioritisation skills A proactive, collaborative mindset with confidence working across teams and with stakeholders Desirable PhD in a relevant field Experience with polygenic risk scores or genetic risk modelling Exposure to clinical trials, feasibility assessments, or research operations Familiarity with EHR data and clinical coding systems (e.g. ICD-10, SNOMED) Experience working in secure or cloud-based environments (e.g. Databricks, Jupyter) Knowledge of Git/GitHub or version control workflows Closing date for applications: 9am, 26th May. Salary from £37,000. Generous Pension Scheme - We invest in your future with employer contributions of up to 12%. 30 Days Holiday pro rata + Bank Holidays - Enjoy a generous holiday allowance with the flexibility to take bank holidays when it suits you. Enhanced Parental Leave - Supporting you during life's biggest moments. Cycle to Work Scheme - Save 25-39% on a new bike and accessories through salary sacrifice. Home & Tech Savings - Get up to 8% off on IKEA and Currys products, spreading the cost over 12 months through salary sacrifice £1,000 Employee Referral Bonus - Know someone amazing? Get rewarded for bringing them on board! Wellbeing Support - Access to Mental Health First Aiders, plus 24/7 online GP services and an Employee Assistance Programme for you and your family. A Great Place to Work - We have a lovely Central London office in Holborn, and offer flexible and remote working arrangements. At Our Future Health, we recognise the importance of having a diverse workforce and ensuring that all candidates, regardless of their background, have equitable access to our application process. We proactively encourage applicants who identify as having a disability, neurodiversity, or long term health conditions to let us know if they require any reasonable adjustments as part of their application process. If you do require any reasonable adjustments, please email us at
15/05/2026
Full time
Our Future Health is the UK's largest ever health research programme, bringing people together to transform the future of healthcare. Today, millions of people across the UK live with conditions such as cancer, dementia, diabetes, and heart disease. By bringing together 5 million volunteers from across the UK, Our Future Health is creating one of the most detailed pictures of human health ever assembled. We're looking for a Genetic Data Analyst to join our growing Science team. This is an exciting opportunity for someone who combines strong genetics expertise with excellent communication skills and enjoys working in a fast paced environment, with the desire to take on customer facing responsibilities. You'll play a key role in helping researchers understand whether specific genetic populations can be identified within our dataset; turning complex genetic questions into clear, actionable insights. The Genetic Data Analyst will: Support the translation of feasibility assessments for clinical research into reproducible analytical workflows. Assess variant availability, carrier populations, and allele frequencies across large-scale datasets. Produce clear, well-structured outputs that are understandable and accessible to both scientific and non-scientific audiences. Collaborate with Epidemiologists and Data Scientists on genotype-phenotype feasibility assessments. Contribute to client and stakeholder discussions, explaining findings and limitations confidently. Interpret and communicate genetic data quality metrics and their real world implications. Continuously create and improve workflows, documentation, templates and reports to support a scalable research service. Manage multiple priorities in a dynamic, responsive environment. This role is ideal for someone who is technically strong, highly organised, and naturally communicative, with a desire to grow in a collaborative, client-facing setting. Essential experience MSc (or equivalent experience) in genetics, genomics, bioinformatics, biostatistics, data science or similar Hands on experience working with genetic / variant level datasets Strong understanding of: Variant nomenclature Allele frequencies Carrier status & genotype dosage Imputation and data quality metrics Experience using tools such as PLINK/PLINK2, bcftools, and R or Python Ability to translate complex genetic concepts into clear insights for non-experts Strong documentation skills; able to clearly explain methods, assumptions, and limitations Excellent time management and prioritisation skills A proactive, collaborative mindset with confidence working across teams and with stakeholders Desirable PhD in a relevant field Experience with polygenic risk scores or genetic risk modelling Exposure to clinical trials, feasibility assessments, or research operations Familiarity with EHR data and clinical coding systems (e.g. ICD-10, SNOMED) Experience working in secure or cloud-based environments (e.g. Databricks, Jupyter) Knowledge of Git/GitHub or version control workflows Closing date for applications: 9am, 26th May. Salary from £37,000. Generous Pension Scheme - We invest in your future with employer contributions of up to 12%. 30 Days Holiday pro rata + Bank Holidays - Enjoy a generous holiday allowance with the flexibility to take bank holidays when it suits you. Enhanced Parental Leave - Supporting you during life's biggest moments. Cycle to Work Scheme - Save 25-39% on a new bike and accessories through salary sacrifice. Home & Tech Savings - Get up to 8% off on IKEA and Currys products, spreading the cost over 12 months through salary sacrifice £1,000 Employee Referral Bonus - Know someone amazing? Get rewarded for bringing them on board! Wellbeing Support - Access to Mental Health First Aiders, plus 24/7 online GP services and an Employee Assistance Programme for you and your family. A Great Place to Work - We have a lovely Central London office in Holborn, and offer flexible and remote working arrangements. At Our Future Health, we recognise the importance of having a diverse workforce and ensuring that all candidates, regardless of their background, have equitable access to our application process. We proactively encourage applicants who identify as having a disability, neurodiversity, or long term health conditions to let us know if they require any reasonable adjustments as part of their application process. If you do require any reasonable adjustments, please email us at
Our Future Health is an ambitious collaboration between the public, charity and private sectors, designed to help people live healthier lives for longer through better prevention, earlier detection and improved treatment of diseases. We will speed up the discovery of new methods of early disease detection, and the evaluation of new diagnostic tools, to help identify and treat diseases early, when outcomes are usually better. With over 2.5M volunteers across the UK, we're now the world's biggest health research programme of its kind, and our volunteer group is also more diverse than other similar health research programmes. Technology and data are central to our mission. Our systems power web sites, clinics across the UK, secure analytics and research systems, pipelines that process highly sensitive health and genetic data, and we are continuing to grow our data science capability to support this ambition. Through our newly launched Clinical Research Recruitment Service, we enable clinical research teams to find the right participants, faster. As this service grows, we have a unique opportunity to transform proven, expert-led recruitment workflows into scalable technology that enhances, rather than replaces, clinical judgement. Our ambition is to deliver increasingly seamless recruitment experiences for customers by building data led capabilities that capture what works best today and make it repeatable, reliable, and scalable tomorrow. In the near term, this means building better data foundations and tools that support expert-led recruitment as it works today. As we learn what can be reliably standardised, these capabilities will increasingly support more streamlined and self service ways of working for customers. Senior Data Scientist will help turn this ambition into reality by shaping the data foundations and technical capabilities we build. You will bring a strong understanding of clinical recruitment workflows and apply it to the design of data products, analytical services, and enabling infrastructure. Working closely with engineers and scientific and operational experts, you will help guide how our recruitment technology evolves, ensuring it delivers immediate value while positioning us for long term scale. What you'll do Work closely with science, data and engineering teams to understand how recruitment feasibility and cohort selection are delivered in practice, and how customers engage with these outputs Help translate existing recruitment workflows into clear data and technical requirements, supporting engineers to build capabilities that reflect operational and user needs Contribute to the development of data products and services that underpin recruitment delivery, from internal tools used by expert teams through to capabilities that may later support customer facing workflows Build and maintain production quality code, with a focus on trust, transparency, and fitness for use in a regulated environment Support early prototyping and iterative delivery, using hands on experience to inform what is ready to be standardised, automated, or scaled Define and document data requirements and pipeline logic, assumptions, and quality checks, working with others to ensure recruitment outputs remain reliable, interpretable and auditable as usage grows Collaborate with governance, privacy and compliance colleagues to ensure ethical, regulatory and data protection requirements are embedded into how data is used and shared Share insights from delivery, customer interactions and data usage to help inform priorities and sequencing as recruitment technology evolves over time This role will be fully hybrid with the expectation we get together in our Holborn, London office at least once per month. We welcome applications from all who may not feel they match the full criteria, so if you have most of the below, we'd like to hear from you: Significant experience applying data science or advanced analytics within health, life sciences, or clinical research contexts Strong understanding of clinical research recruitment, feasibility assessment or cohort identification workflows, and how these are delivered in practice Experience working with real world health or clinical datasets (e.g. electronic health records, registries, or research cohorts) Ability to translate clinical and operational requirements into clear analytical and technical approaches Experience collaborating closely with software engineers on production systems, including contributing to the design of data pipelines or services Strong programming skills (Python preferred, SQL, and version control) with the ability to write maintainable, auditable code suitable for production use Familiarity with working in regulated or governed data environments, with an appreciation of ethical, privacy and compliance requirements Experience working in or alongside CROs, digital CROs, clinical research organisations, or clinical technology companies is desirable Comfortable working in ambiguous problem spaces, where requirements emerge through delivery, learning and iteration Able to communicate complex concepts clearly to both technical and non technical audiences, and to contribute effectively within cross functional teams Pragmatic, thoughtful and motivated by creating real world impact through collaborative problem solving. Hiring Process We feel hiring should be transparent and give you a real sense for what Our Future Health is like. Here's what you can expect: Initial chat with our Talent team (30 min) to get to know each other, discuss the role, and answer any questions you have 1st interview with our Head of Data Operations (25 min) - this is an opportunity to meet your potential line manager and for you both to align on role expectations Technical interview with 2-3 members from our tech and data teams (60 min). This will include a short task you'll need to prepare in advance of the interview and is designed to get a sense for how you'd approach the real world responsibilities of this role Final stage competency interview (60 min) with a small cross functional panel of your potential new stakeholders. This will focus on how you collaborate, work with stakeholders, and navigate ambiguity and challenges in real world projects Benefits Competitive base salary from £75,000 Generous Pension Scheme - We invest in your future with employer contributions up to 12% 30 Days Holiday pro rate + Bank Holidays - Enjoy a generous holiday allowance with the flexibility to take bank holidays when it suits you Enhanced Parental Leave - Supporting you during life's biggest moments Cycle to Work Scheme - Save 25-39% on a new bike and accessories through salary sacrifice Home & Tech Savings - Get up to 8% off on IKEA and Currys products, spreading the cost over 12 months through salary sacrifice EV Scheme - Save up to 40% on a brand new electric vehicle all-inclusive package through salary sacrifice £1,000 Employee Referral Bonus - Know someone amazing? Get rewarded for bringing them on board! Wellbeing Support - Access to Mental Health First Aiders, plus 24/7 online GP services and an Employee Assistance Programme for you and your family A Great Place to Work - We have a lovely Central London office in Holborn, and offer flexible and remote working arrangements Join us - let's prevent disease together. We recommend you apply as soon as possible as occasionally due to high volumes of applications we need to close our postings early. At Our Future Health, we recognise the importance of having a diverse workforce and ensuring that all candidates, regardless of their background, have equitable access to our application process. We proactively encourage applicants who identify as having a disability, neurodiversity, or long term health conditions to let us know if they require any reasonable adjustments as part of their application process. If you require any reasonable adjustments, please email us at
05/05/2026
Full time
Our Future Health is an ambitious collaboration between the public, charity and private sectors, designed to help people live healthier lives for longer through better prevention, earlier detection and improved treatment of diseases. We will speed up the discovery of new methods of early disease detection, and the evaluation of new diagnostic tools, to help identify and treat diseases early, when outcomes are usually better. With over 2.5M volunteers across the UK, we're now the world's biggest health research programme of its kind, and our volunteer group is also more diverse than other similar health research programmes. Technology and data are central to our mission. Our systems power web sites, clinics across the UK, secure analytics and research systems, pipelines that process highly sensitive health and genetic data, and we are continuing to grow our data science capability to support this ambition. Through our newly launched Clinical Research Recruitment Service, we enable clinical research teams to find the right participants, faster. As this service grows, we have a unique opportunity to transform proven, expert-led recruitment workflows into scalable technology that enhances, rather than replaces, clinical judgement. Our ambition is to deliver increasingly seamless recruitment experiences for customers by building data led capabilities that capture what works best today and make it repeatable, reliable, and scalable tomorrow. In the near term, this means building better data foundations and tools that support expert-led recruitment as it works today. As we learn what can be reliably standardised, these capabilities will increasingly support more streamlined and self service ways of working for customers. Senior Data Scientist will help turn this ambition into reality by shaping the data foundations and technical capabilities we build. You will bring a strong understanding of clinical recruitment workflows and apply it to the design of data products, analytical services, and enabling infrastructure. Working closely with engineers and scientific and operational experts, you will help guide how our recruitment technology evolves, ensuring it delivers immediate value while positioning us for long term scale. What you'll do Work closely with science, data and engineering teams to understand how recruitment feasibility and cohort selection are delivered in practice, and how customers engage with these outputs Help translate existing recruitment workflows into clear data and technical requirements, supporting engineers to build capabilities that reflect operational and user needs Contribute to the development of data products and services that underpin recruitment delivery, from internal tools used by expert teams through to capabilities that may later support customer facing workflows Build and maintain production quality code, with a focus on trust, transparency, and fitness for use in a regulated environment Support early prototyping and iterative delivery, using hands on experience to inform what is ready to be standardised, automated, or scaled Define and document data requirements and pipeline logic, assumptions, and quality checks, working with others to ensure recruitment outputs remain reliable, interpretable and auditable as usage grows Collaborate with governance, privacy and compliance colleagues to ensure ethical, regulatory and data protection requirements are embedded into how data is used and shared Share insights from delivery, customer interactions and data usage to help inform priorities and sequencing as recruitment technology evolves over time This role will be fully hybrid with the expectation we get together in our Holborn, London office at least once per month. We welcome applications from all who may not feel they match the full criteria, so if you have most of the below, we'd like to hear from you: Significant experience applying data science or advanced analytics within health, life sciences, or clinical research contexts Strong understanding of clinical research recruitment, feasibility assessment or cohort identification workflows, and how these are delivered in practice Experience working with real world health or clinical datasets (e.g. electronic health records, registries, or research cohorts) Ability to translate clinical and operational requirements into clear analytical and technical approaches Experience collaborating closely with software engineers on production systems, including contributing to the design of data pipelines or services Strong programming skills (Python preferred, SQL, and version control) with the ability to write maintainable, auditable code suitable for production use Familiarity with working in regulated or governed data environments, with an appreciation of ethical, privacy and compliance requirements Experience working in or alongside CROs, digital CROs, clinical research organisations, or clinical technology companies is desirable Comfortable working in ambiguous problem spaces, where requirements emerge through delivery, learning and iteration Able to communicate complex concepts clearly to both technical and non technical audiences, and to contribute effectively within cross functional teams Pragmatic, thoughtful and motivated by creating real world impact through collaborative problem solving. Hiring Process We feel hiring should be transparent and give you a real sense for what Our Future Health is like. Here's what you can expect: Initial chat with our Talent team (30 min) to get to know each other, discuss the role, and answer any questions you have 1st interview with our Head of Data Operations (25 min) - this is an opportunity to meet your potential line manager and for you both to align on role expectations Technical interview with 2-3 members from our tech and data teams (60 min). This will include a short task you'll need to prepare in advance of the interview and is designed to get a sense for how you'd approach the real world responsibilities of this role Final stage competency interview (60 min) with a small cross functional panel of your potential new stakeholders. This will focus on how you collaborate, work with stakeholders, and navigate ambiguity and challenges in real world projects Benefits Competitive base salary from £75,000 Generous Pension Scheme - We invest in your future with employer contributions up to 12% 30 Days Holiday pro rate + Bank Holidays - Enjoy a generous holiday allowance with the flexibility to take bank holidays when it suits you Enhanced Parental Leave - Supporting you during life's biggest moments Cycle to Work Scheme - Save 25-39% on a new bike and accessories through salary sacrifice Home & Tech Savings - Get up to 8% off on IKEA and Currys products, spreading the cost over 12 months through salary sacrifice EV Scheme - Save up to 40% on a brand new electric vehicle all-inclusive package through salary sacrifice £1,000 Employee Referral Bonus - Know someone amazing? Get rewarded for bringing them on board! Wellbeing Support - Access to Mental Health First Aiders, plus 24/7 online GP services and an Employee Assistance Programme for you and your family A Great Place to Work - We have a lovely Central London office in Holborn, and offer flexible and remote working arrangements Join us - let's prevent disease together. We recommend you apply as soon as possible as occasionally due to high volumes of applications we need to close our postings early. At Our Future Health, we recognise the importance of having a diverse workforce and ensuring that all candidates, regardless of their background, have equitable access to our application process. We proactively encourage applicants who identify as having a disability, neurodiversity, or long term health conditions to let us know if they require any reasonable adjustments as part of their application process. If you require any reasonable adjustments, please email us at
Our Future Health is looking for a Senior Data Scientist to enhance our clinical recruitment efforts. You will play a vital role in shaping data products and technical capabilities, collaborating with diverse teams to deliver impactful solutions. This hybrid role requires significant experience in data science, a strong grasp of clinical recruitment workflows, and excellent programming skills in Python. We offer a competitive salary starting from £75,000, generous benefits, and a commitment to a diverse workforce.
05/05/2026
Full time
Our Future Health is looking for a Senior Data Scientist to enhance our clinical recruitment efforts. You will play a vital role in shaping data products and technical capabilities, collaborating with diverse teams to deliver impactful solutions. This hybrid role requires significant experience in data science, a strong grasp of clinical recruitment workflows, and excellent programming skills in Python. We offer a competitive salary starting from £75,000, generous benefits, and a commitment to a diverse workforce.