Department of Public Health and Primary Care, Cardiovascular Epidemiology Unit

We are looking for a statistical geneticist to join the Cardiovascular Epidemiology Unit (CEU), Department of Public Health and Primary Care at University of Cambridge.

The postholder will be developing novel statistical methodologies that enable translational and clinical application of genetic risk models. The exact project will be designed based on your research interest and the translational/clinical need proposed by our clinical collaborators. You will be working on genomic, molecular (transcriptomics, proteomic, and metabolomics), and electronic health record data, empowered by and contributing to multiple resources developed and maintained by the team (e.g. PGS Catalog, Omicspred).

The post holder will work with Dr Xilin Jiang and Professor Michael Inouye while collaborating with Professor Alkes Price (Harvard TH Chan School of Public Health) and senior scientists at NHS Genomic laboratory hub. You will have the opportunity to establish collaboration with senior scientists around Cambridge and international institutions.

The preferred candidate will have a PhD (or equivalent) in Statistics, Computer Science, or other related quantitative subject. Selection criteria includes understanding of inferential and quantitative concepts and techniques, computational skills, and experience of analysing large genetic and functional datasets, ideally with electronic health records. You should have an ability to communicate and present results to other quantitative scientists, bioinformaticians, epidemiologists, clinicians and scientists, along with excellent verbal and written communications skills and strong organisational skills.

https://www.jobs.cam.ac.uk/job/45729/