Duties: Responsible for working closely with PI Voight, members of the Voight Lab to perform lead computational genomics analysis and methods development for cardiometabolic traits, and related scientific activities. Key areas of responsibility include: development of machine learning methods for the discovery of loci related to cardiometabolic traits and interpretation of causal variants and mechanisms at established loci, genetic analysis of large-scale human variation data set for cardiometabolic traits, testing and evaluation of informatics tools for the analysis of genomics data sets, and the analysis of single-cell and/or functional genomics (ATAC-Seq, ChIP-Seq, etc.) data captured from primary tissues (i.e., adipose, beta-cell islets, etc.). Related scientific activities include facilitation and leadership in writing of grants, funding proposals, and manuscripts, leading interactions with collaborators for ongoing projects, attending and presenting at scientific meetings, and assistance in supervising/mentoring new students to the lab.
Position is contingent on continued funding.
Qualifications: Masters degree and a minimum of 3 years dry-lab computational experience or an equivalent combination of education and experience required.
Reference Number: 40-26622
Salary Grade: 028
Employment Type: Exempt
Special Requirements: Background check required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job.
Job Family: I-Technical/Professional Research