Cambridge Centre for Research Associate in Biomedical Data Science (Fixed Term)
Department of Public Health and Primary Care, Cardiovascular Epidemiology Unit
We are currently seeking a highly motivated and talented postdoctoral researcher in biomedical data science to join our team at the Cambridge Baker Systems Genomics Initiative (CBSGI) and Cardiovascular Epidemiology Unit (CEU) at the Department of Public Health and Primary Care (DPHPC). The post would suit naturally collaborative, self-motivated researchers interested in the aetiology and prediction of cardiovascular and metabolic diseases as well as their common comorbidities. The post holder will have experience in the application of machine learning, artificial intelligence, bioinformatics and biostatistics to analyse large-scale genomic and phenotypic data in the CEU's broad portfolio of multi-omic cohorts.
The primary role of the post holder will be to lead projects involving the quantitative analysis and interpretation of genomic and phenotypic data using polygenic scores, GWAS, Mendelian randomisation, and other statistical and machine-learning techniques. The successful role-holder will have research interests aligned with those of CBSGI and CEU. They will have the freedom to develop new research ideas, in particular by leading/contributing to new grant or fellowship applications.
Initial potential research projects include: (i) the role of iron deficiency in cardiometabolic disease risk across populations, (ii) integrating multi-omics data to determine the molecular etiology of specific cardiometabolic multimorbidity patterns, (iii) uncovering demography-based heterogeneity in causal effects of molecular traits on disease outcomes, or (iv) predicting multimorbidity trajectories by combining data from e-health records, lifestyle factors, and genetic data.