Research Fellow in Translational and Digital Health Statistics - Strand, London, WC2R 2LS

Research Fellow in Translational and Digital Health Statistics - Strand, London, WC2R 2LS

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 King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across five Departments.

About the role

The Research Fellow in Translational and Digital Health 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 study design, data management strategies, analytical approaches, and inferential analyses for observational and translational research using real-world data. The post holder will work with large healthcare datasets, electronic health records, and registry data, while engaging with clinical and data science teams to represent statistical, epidemiological, and data science perspectives.

The postholder will hold a PhD in Medical Statistics/Biostatistics, Mathematics, Computer Science, Epidemiology, or another quantitative discipline, and will have strong programming skills, attention to detail, and experience with complex healthcare data.

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

Research staff at King’s are entitled to at least 10 days per year (pro-rata) for professional development. This entitlement, from the Concordat to Support the Career Development of Researchers , applies to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information.