At a Glance
- Tasks: Shape data foundations and technical capabilities for clinical trial recruitment.
- Company: Join a pioneering health research programme transforming disease prevention and treatment.
- Benefits: Competitive salary, generous holiday, pension scheme, and wellbeing support.
- Other info: Hybrid role with flexible working and excellent career growth opportunities.
- Why this job: Make a real-world impact in health through innovative data science.
- Qualifications: Experience in data science within health or clinical research; strong programming skills required.
The predicted salary is between 75000 - 75000 ÂŁ per year.
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.
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.
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:
- 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 ÂŁ75,000.
- 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 talent@ourfuturehealth.org.uk.
Senior Data Scientist - (Clinical Trial Recruitment) employer: Our Future Health
Contact Detail:
Our Future Health Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - (Clinical Trial Recruitment)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for those interviews! Research the company, understand their mission, and be ready to discuss how your skills align with their goals. Practise common interview questions and think of examples that showcase your experience.
✨Tip Number 3
Showcase your projects! If you've worked on relevant data science projects, make sure to highlight them during interviews. Bring along a portfolio or be ready to discuss your contributions and the impact they had.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our mission to improve health outcomes.
We think you need these skills to ace Senior Data Scientist - (Clinical Trial Recruitment)
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in clinical research and data science. We want to see how your skills align with our mission at Our Future Health!
Showcase Your Technical Skills: Don’t hold back on your programming prowess! Whether it’s Python, SQL, or your experience with data pipelines, let us know how you’ve used these skills in real-world scenarios.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Our Future Health
✨Know Your Data Science Stuff
Make sure you brush up on your data science skills, especially in the context of health and clinical research. Be ready to discuss how you've applied advanced analytics in real-world scenarios, as this will show your understanding of the field and its challenges.
✨Understand Clinical Recruitment Workflows
Familiarise yourself with clinical recruitment processes and how they work in practice. Being able to translate these workflows into data requirements will be crucial, so think about examples from your past experience that demonstrate your knowledge in this area.
✨Prepare for Technical Challenges
Expect a technical interview where you'll need to showcase your programming skills, particularly in Python and SQL. Prepare a short task in advance, and be ready to explain your thought process and approach to problem-solving during the interview.
✨Communicate Clearly
You'll be working with both technical and non-technical teams, so practice explaining complex concepts in simple terms. Think about how you can convey your ideas effectively to different audiences, as strong communication skills are key to success in this role.