Research Fellow in Early-Phase and Digital Health Trial Statistics

About Us

The School of Life Course & Population Sciences is one of five Schools that make up the Faculty of Life Sciences & Medicine at King’s College London. The School unites over 400 experts in women and children’s health, nutritional sciences, population health and the molecular genetics of human disease. Our research links the causes of common health problems to life’s landmark stages, treating life, disease and healthcare as a continuum. We are interdisciplinary by nature and this innovative approach works: 91 per cent of our research submitted to the Subjects Allied to Medicine (Pharmacy, Nutritional Sciences and Women's Health cluster) for REF was rated as world-leading or internationally excellent. We use this expertise to teach the next generation of health professionals and research scientists. Based across multiple campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments.

About the role

The Research Fellow in Early-Phase and Digital Health Trial Statistics is part of the Unit for Medical Statistics (UMS) within the School of Life Course & Population Sciences. It supports the increasing demand for advanced statistical expertise in clinical trials, including first-in-human studies, trials involving digital health technologies, real-world data analyses, and translational research.

The post holder works as part of a team, with day-to-day responsibility for the statistical components of clinical trials and related studies, including projects involving artificial intelligence and clinical trial methodology.

Key responsibilities include contributing to trial protocol development, randomization procedures, statistical analysis plans, and interim and final analyses for clinical trials. The post holder will provide statistical input throughout the trial lifecycle, from design through to regulatory reporting, while engaging with clinical trial units, sponsors, and multidisciplinary research teams to represent statistical and methodological perspectives.

The post holder will hold a PhD in Medical Statistics/Biostatistics, Mathematics, Epidemiology, or another quantitative discipline, and will have strong programming skills, attention to detail, and understanding of clinical trial methodology.

This is a full time post (35 hours per week), and you will be offered a fixed term contract until 2nd March 2028.

About You

To be successful in this role, we are looking for candidates to have the following skills and experience:

Essential criteria

• PhD qualified in mathematics/biostatistics (or equivalent quantitative discipline) and relevant postdoctoral experience
• Knowledge and experience of various statistical packages such as R, Stata, Python
• Understanding of clinical trial phases and Good Clinical Practice (GCP) principles
• Ability to adapt statistical methodology to specific trial designs
• Experience of analysing clinical trial data
• Have knowledge of health research methodologies and regulatory requirements
• Capable of working independently and collaboratively in a multidisciplinary team
• Track record of publication in clinical trials or trial methodology and contributing to grant funding applications

Desirable criteria

• Experience of early-phase or adaptive trial designs, trial randomization, blinding, and data monitoring procedures
• Experience of teaching and training
• Advisory or consultancy experience in clinical trials
• Familiarity with regulatory submission requirements

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