The main responsibility of this role will be to plan and conduct statistical analyses of dense genetic, biochemical and lifestyle data in relation to a wide range of cardiometabolic outcomes including coronary heart disease and diabetes. Genetic data will involve whole-exome sequencing and whole-genome sequencing data in several thousand participants in unique population groups that are highly in-bred. Applicant will also be expected to use available bioinformatics data (e.g., ENCODE, dbGAP) to gain further insights. Applicant will be expected to help align multi-dimensional data from DNA based studies, phylogenetic analyses, expression studies, transcriptomics and methylation signatures using different bioinformatic tools. The post holder will also be expected to work closely with other members of the group including epidemiologists, biologists and clinicians to help interpret findings and prepare relevant manuscripts. This unique and large-scale project will provide insights into the aetiology of cardiometabolic outcomes. A large number of high quality manuscripts will result from this work which will also benefit the candidate.
Internal Number: 46983
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