We are seeking an outstanding postdoctoral scientist with an interest in addressing emerging opportunities to generate important insights into cardiometabolic disease through the study of large genetically diverse populations.

job advert

Genetic association studies have identified thousands of disease-associated loci however linkage disequilibrium and allelic heterogeneity have challenged efforts to uncover underlying disease mechanisms. Moreover, most previous studies were conducted in samples of European descent. The emergence of large-scale EHR-linked genomic data resources for ancestrally diverse and admixed populations provides enormous potential to address these challenges; to yield new biological insights, pertinent to specific group and inform the application of genomics into healthcare.

The successful candidate will work with a portfolio of data resources, including samples with high-density genotyping, exome sequence, and whole genome sequence. You will develop and apply innovative approaches for the analysis and interpretation of genetic data from diverse populations, including relatedness estimation, population assignment, and association analysis addressing population stratification.

The ideal candidate will have a PhD (or equivalent experience) in statistical genetics, genetic epidemiology, or bioinformatics and a strong computational background. Research experience in electronic health records and/ or in cardiometabolic traits would be an advantage. We place a strong emphasis on supporting career development and on the potential for scientific independence.

We will strongly encourage and support the post-holder to develop their research career through personal fellowship, taking advantage of the substantial and growing opportunities for EHR-genomic research in cardiometabolic disease at UCL.

You will be based at the UCL Genomic Institute and at the UCL Institute for Health informatics in central London.

This role is available immediately and until 28 February 2022 in the first instance.