Our Future Health

Senior Data Scientist - (Clinical Trial Recruitment)

🇬🇧 London, GB Hybride IT Temps plein Publié Avr 30, 2026
LieuLondon, GB
Mode de travailHybride
ContratTemps plein
CatégorieIT
Catégorie ITData Science et ML
Publié30 avril 2026
Dernière vérification7 mai 2026

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 our 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.

The 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. 

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