MRC Biostatistics Unit

This is an exciting opportunity for an ambitious post-doctoral research associate to join the MRC Biostatistics Unit to carry out methodological research relating to Bayesian inference.

The post-holder will focus on developing novel Bayesian statistical methodology to improve the analysis and understanding of biomedical data, particularly relating to population health and/or patients in hospitals. Depending on their skills and interests, there are several potential directions that the postholder could pursue. These include (1) computational and/or methodological developments in Bayesian methods for model integration/data integration, such as building on ideas of Markov melding (https://doi.org/10.1214/18-BA1104 and https://doi.org/10.1007/s11222-022-10086-2) and chained Markov melding (https://doi.org/10.1214/22-BA1327); (2) improving methodology relating to prior specification (e.g. building on ideas in https://arxiv.org/abs/2303.08528); or (3) developing and implementing improved Bayesian methodology for handling large-scale multi-stream patient-level data extracted from modern hospital Electronic Health Record systems. The postholder will have the opportunity to take a central role in identifying and developing potential methodological developments, critically assessing and refining ideas for their ability to enable substantive biomedical questions to be answered more accurately or efficiently; and implementing and applying the proposed methodological developments to compare performance compared to existing approaches.

https://www.jobs.cam.ac.uk/job/41124/