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.

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.

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 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. 

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.  

Disclaimer: We will be interviewing for this role as suitable applications are received and may close this role before the closing date upon a successful candidate being appointed.