Research Fellow in Medical Statistics and Health Data Science

We are seeking an ambitious and collaborative Research Fellow (50% FTE) to join a multidisciplinary team working at the forefront of causal inference in trusted research environments. This exciting role builds on nationally significant work evaluating COVID-19 vaccine effectiveness and will contribute to the development of the target trial emulation framework using large-scale electronic health record (EHR) data.

The successful candidate will play a central role in developing and applying advanced causal inference approaches, as well as line managing more junior colleagues in the electronic health records team and contributing to grant applications. The post also offers opportunities to explore scalable approaches for handling missing data efficiently in complex healthcare datasets.

Working closely with colleagues across Bristol and partner institutions throughout the UK, you will contribute to high-impact methodological and applied research with direct relevance to population health and healthcare policy.

You should apply if you have experience in quantitative health research, statistics, epidemiology, data science, or a related discipline, with expertise in analysing large and complex datasets. Candidates should have a strong understanding of causal inference methods and an interest in target trial emulation and missing data methodology. Experience using statistical programming languages such as R or Python, producing peer-reviewed publications, and working collaboratively within multidisciplinary research teams is essential. You should also be motivated to contribute to open and reproducible research, support junior colleagues, and engage with national and international research collaborations.