Research Fellow in Translational and Digital Health Statistics

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.

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
• Experience with large healthcare datasets or administrative data
• Understanding of observational study designs and causal inference methods
• Knowledge of health research methodologies and current issues in real-world data analysis
• Be 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 analysing NHS data (HES, CPRD) or hospital electronic health records 
• Experience with data linkage and working with routine healthcare data 
• Experience with machine learning or AI applications in healthcare settings 
• Advisory or consultancy experience 
• Understanding of implementation research or health inequalities

Advert information