MRC Biostatistics Unit

An exciting opportunity has arisen for a highly motivated and talented post-doctoral biostatistician, statistician or researcher in statistical machine learning to join Dr Brian Tom's group at the MRC Biostatistics Unit, Cambridge University, to develop and apply statistical methodology in the area of precision medicine.

Dr Brian Tom's group focuses on using longitudinal data and complex phenotypes and endotypes for improved understanding and decision making in medicine. He has a number of collaborations locally, nationally and internationally. His group sits within the Unit's Precision Medicine Theme that comprises three other groups, which are complementary with significant interactions and cross-fertilisation. The Theme positions itself at the interface between statistical methods and substantive biomedical applications, which allows for innovation and breadth.

Depending on academic background and research interests, the successful applicant could contribute to research areas/projects related to either: (1) dynamic modelling of high dimensional longitudinal and/or functional biomarker processes and clinical outcomes to characterize and understand disease; (2) causal modelling to assess the impact of time-varying exposures and/or treatments on disease course/progression within a multi-state modelling framework; (3) estimating optimal treatment rules and regimes using observational data; or (4) prioritising data types/variables in mixture models for stratification using regression models or model-based clustering. There is flexibility in the inferential framework adopted, including from frequentist, Bayesian, Generalized Bayes/decision-theoretic or hybrid perspectives.

https://www.jobs.cam.ac.uk/job/48143/