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.
Penn has a long and proud tradition of intellectual rigor and pursuit of innovative knowledge, begun by Benjamin Franklin in 1740. That tradition lives today through the creativity, entrepreneurship, and engagement of our faculty, students, and staff. Academic life at Penn is unparalleled, with an undergraduate student body of 10,000 from every U.S. state and around the world. The entering class of 2015 is the most talented and diverse in Penn's history. Consistently ranked among the top 10 universities in the country, Penn welcomes an additional 10,000 students to our top-ranked graduate and professional schools.