Inkfish - Statistician – Digital Trials & Methodology Leadership

Statistician / Computational Scientist – Digital Trials (Hands-On Research Track)

Location:

London Bridge (Hybrid, minimum 3–4 days on site, with regular presence in South East London)

Contract:

3-year academic contract with renewal

Bio Talent has partnered with a leading academic programme to hire a Statistician / Computational Scientist into a high-impact research environment focused on digital trials, real-world data, and biomarker-driven research.

This role is ideal for someone who wants to stay hands‑on. You’ll be working directly with complex clinical and digital datasets, contributing to how next‑generation trials are analysed and interpreted, without being pushed into people management or academic bureaucracy.

You’ll be working across large-scale observational and interventional datasets, applying statistical and computational approaches to real‑world clinical and digital health data.

The focus is on meaningful research output and impact, not admin or teaching. You’ll collaborate with clinicians, data scientists, and researchers to generate insights that directly shape study decisions and outcomes.

• Conduct exploratory and applied analysis across clinical, translational, and digital health datasets
• Apply statistical and computational methods using R and/or Python
• Support the design and evaluation of digital and decentralised trials
• Work closely with cross‑functional teams across clinical, academic, and technical groups
• Translate complex data into clear, actionable insights
• Build reproducible pipelines and analytical workflows
• Integrate machine learning approaches alongside classical statistical methods
• Contribute to publications and research outputs
• Work through real‑world data challenges such as missingness, adherence, and data quality

• PhD in Biostatistics, Bioinformatics, Computational Biology, Epidemiology or similar
• Strong hands‑on experience with clinical, biological, or health datasets
• Solid programming skills in R and/or Python
• Experience working with real‑world data, omics, or digital health datasets
• Strong data interpretation and communication skills
• Interest in translational or clinical research

• Exposure to clinical trials or oncology research
• Experience with machine learning methods
• Familiarity with EHR, wearables, or decentralised trial data

• Proper hands‑on research role without forced people management
• Work on genuinely complex, real‑world datasets at scale
• Collaborate across clinical, academic, and technical teams
• Long‑term stability within a major funded programme, despite academic contract structure

If you want to stay close to the data, build real insight, and work on research that actually changes how trials are run, this is a strong move.