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- Tasks: Unlock the power of health data to influence groundbreaking research and improve lives.
- Company: Join the UK's largest health research programme, transforming healthcare for millions.
- Benefits: Competitive salary, generous holiday, pension scheme, and wellbeing support.
- Other info: Flexible working arrangements and a collaborative, diverse environment.
- Why this job: Make a real impact on healthcare by analysing data that shapes future studies.
- Qualifications: MSc or PhD in relevant fields and experience with large-scale health datasets.
The predicted salary is between 60000 - 60000 £ per year.
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 Health Data Scientist to play a pivotal role in unlocking the power of this resource and enabling groundbreaking research at scale.
As a Health Data Scientist, you won’t just analyse data; you’ll directly influence how researchers design studies and generate insights that could improve millions of lives. By transforming externally defined research criteria into reliable feasibility analyses and reproducible cohort selection workflows, the Health Data Scientist will ensure that external researchers and research organisations can design robust studies and make informed decisions, grounded in the strengths of the resource. Also by contributing to the development of future feasibility products, such as automated tools and data exploration interfaces, the Health Data Scientist will help shape scalable, efficient systems that support the long‑term growth of the programme and unlock greater research value from the resource.
You will:
- Deliver end-to‑end feasibility analyses by interpreting stakeholder specifications, mapping requirements to available datasets, conducting analyses, and preparing clear, accurate outputs.
- Translate inclusion and exclusion criteria into relevant variables, phenotype definitions, and medical code sets (e.g., SNOMED CT, ICD10, Read) to support consistent feasibility and cohort selection work.
- Support feasibility assessments for (clinical) research recruitment services, grant applications, study design, and early‑stage research enquiries, including feasibility studies based on genotypes.
- Perform cohort selection across a range of data sources (questionnaires, EHR, linkage data, genetic data) using stakeholder defined criteria and reproducible analytical workflows.
- Contribute to the design and development of future, self‑service feasibility and data browsing tools and products.
- Collaborate with internal scientific and data teams to ensure analytical outputs meet ethical, data protection and other regulatory requirements.
- Support continuous improvement by contributing to shared coding standards, documentation, and learning practices within the Epidemiology and Science team.
Your experience:
- MSc or PhD (or equivalent experience) in epidemiology, biostatistics, data science, public health, or a related field.
- Strong understanding of study design, cohort methods, confounding, and bias.
- Experience working with large‑scale health datasets, particularly electronic health records.
- Familiarity with genetic or genomic data is a plus.
Your technical skills:
- Proficiency in R or Python for data analysis and reproducible workflows.
- Experience using clinical coding systems (SNOMED CT, ICD10, Read).
- Ability to define phenotypes, map variables, and implement cohort logic.
Your approach:
- You can turn complex research questions into structured analytical plans.
- You communicate insights clearly to technical and non‑technical audiences.
- You thrive in collaborative, cross‑functional environments.
- You’re adaptable, organised, and comfortable managing multiple priorities.
Let’s prevent disease together.
Closing date for applications: 9am, 6th May 2026.
Salary from £60,000.
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 talent@ourfuturehealth.org.uk.
Health Data Scientist employer: Our Future Health Limited
Contact Detail:
Our Future Health Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Health Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the health data science field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those related to health datasets. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common questions in health data science. Think about how you can relate your experience to the role and be ready to discuss your analytical processes.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our mission.
We think you need these skills to ace Health Data Scientist
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Health Data Scientist role. Highlight your experience with health datasets and any relevant projects that showcase your skills in R or Python. We want to see how you can directly contribute to our mission!
Showcase Your Analytical Skills: In your application, don’t just list your technical skills; demonstrate them! Include examples of how you've turned complex research questions into structured analytical plans. This will help us see your thought process and problem-solving abilities.
Communicate Clearly: Remember, we value clear communication! When writing your application, aim to convey your insights in a way that's understandable to both technical and non-technical audiences. This is crucial for the collaborative environment we thrive in.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, you’ll find all the details about the role and our amazing benefits there!
How to prepare for a job interview at Our Future Health Limited
✨Know Your Data Inside Out
As a Health Data Scientist, you'll be working with large-scale health datasets. Make sure you brush up on your knowledge of electronic health records and any relevant coding systems like SNOMED CT or ICD10. Being able to discuss specific examples of how you've used these in past projects will show your expertise.
✨Master the Art of Communication
You’ll need to communicate complex insights to both technical and non-technical audiences. Practice explaining your previous work in simple terms, focusing on the impact of your analyses. This will demonstrate your ability to bridge the gap between data science and real-world applications.
✨Showcase Your Collaborative Spirit
Collaboration is key in this role. Be prepared to discuss how you've worked with cross-functional teams in the past. Highlight specific instances where your contributions led to successful outcomes, as this will illustrate your adaptability and teamwork skills.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Think about how you would approach feasibility analyses or cohort selection based on hypothetical scenarios. Practising these types of questions will help you articulate your thought process clearly during the interview.