Duties: 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.
Qualifications: The minimum of a Master's degree and 3 years of experience or an equivalent combination of education and experience required. A sound understanding of statistical concepts and bioinformatics. Experience of working in UNIX / LINUX based operating systems and other statistical packages (such as STATA, R, PERL / PYTHON). High-level report writing and presentation skills. Strong organizational and interpersonal skills. Excellent verbal and written communication skills. Experience using Microsoft Office and statistical software (eg, Stata, SPSS) and analyzing large data sets independently. Ability to judge priorities and work to meet tight deadlines. Work to targets both independently and within a team environment. Ensure accuracy and rigor in all areas of work. Ability to work in a multi-disciplinary team.
Reference Number: 40-26450
Salary Grade: 028
Employment Type: Exempt
Org: BE-Epidemiology Division
Job Family: I-Technical/Professional Research