Department of Public Health and Primary Care, Cardiovascular Epidemiology Unit

We are seeking a talented biomedical data scientist to join our team as a postdoctoral researcher in the Cardiovascular Epidemiology Unit (CEU) and Cambridge Baker Systems Genomics Initiative (CBSGI) of the Department of Public Health and Primary Care (DPHPC). The post will suit researchers interested in using artificial intelligence (AI) to create predictive models of biological processes. The ideal postholder will also have an interest or experience in analysing genomic, multi-omic and phenotypic/health-record data at population scales.

The primary role of the post holder will be to lead projects that develop new AI models, benchmark existing models and combine multiple approaches to predict biochemically important parameters. A challenge will be developing models and tools which can be applied rapidly and at scale in human populations (e.g. >1 million individuals). The post holder will also be deeply involved in the quantitative analysis and interpretation of genomic, multi-omic and phenotypic data using polygenic scores, GWAS, Mendelian randomisation, and other statistical and machine-learning methods.

https://www.cam.ac.uk/jobs/research-associate-in-biomedical-ai-fixed-term-rh51074