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Principal data scientist | chelsea and westminster hospital nhs foundation trust

Chelsea and Westminster Hospital NHS Foundation Trust
Data scientist
€150,000 - €200,000 a year
Posted: 17 May
Offer description

Imperial College Health Partners (ICHP) is seeking an experienced Principal Data Scientist to provide senior technical leadership across our growing real‑world evidence (RWE) portfolio. The role involves building a QA/QC and technical assurance framework from first principles—anchored in strong data architecture and process—to enable delivery of top‑tier, defensible analytical products.

In this specialist role, you will act as a senior technical authority, shaping and assuring complex analytical work that informs decision‑making across health systems, research, and innovation partners. You will lead the development of analytical and data engineering standards, support the evolution of ICHP’s RWE offer, and provide hands‑on technical input to priority and high‑risk projects. Projects may include large‑scale linkage of NHS data with non‑healthcare sources (e.g., HMRC or Department for Education datasets) and the development or evaluation of machine‑learning models intended to inform clinical or operational decision‑making. These projects require advanced governance, reproducibility, explainability, and senior technical assurance to ensure defensible, regulator‑ready outputs.

The role has no formal line‑management responsibility; it operates through expertise, credibility, and collaboration, working closely with the Associate Director of Strategy & Insights and the Senior Quantitative Insights Manager (RWE) to influence how real‑world data is used safely, rigorously and effectively to improve population health.

Responsibilities

Provide senior technical oversight and quality assurance across complex or high‑risk analytical projects, acting as final technical reviewer where required.

Lead the development and continuous improvement of ICHP’s real‑world evidence standards, including analytical pipelines, data engineering, reproducibility and QA/QC.

Provide hands‑on technical input to priority projects, advising on feasibility, data preparation, linkage approaches, and reproducible delivery.

Ensure all analytical work complies with Five Safes principles, governance and disclosure control requirements.

Act as a visible technical leader, sharing best practice, supporting capability building and contributing to a culture of continuous improvement.

Qualifications
You have experience delivering high‑quality analytics in regulated environments such as healthcare, academia, public sector or other data‑intensive industries. We welcome candidates with diverse backgrounds.

This advert closes on Wednesday 3 Jun 2026.

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