Postdoctoral Research Fellowship at the Vanderbilt Genetics Institute
2 months ago
Midtown, Nashville
The Vanderbilt Genetics Institute (VGI) at Vanderbilt University School of Medicine was established to foster scientific interactions at the clinical, molecular, and analytical levels by providing state-of-the-art resources to Vanderbilt scientists involved in genetic and genomic research. VGI is headed by Professor, Nancy Cox, who is the Mary Phillips Edmonds Gray Professor of Genetics. VGI is uniquely positioned to enable translational discoveries due to the enormous university-wide investments in biomedical informatics and precision medicine. These investments are exemplified by BioVU, a biobank of genetic material containing over 285K patient samples with whole-genome sequencing data, and Vanderbilt’s lead role in the President’s Precision Medicine Initiative and now All-of-US. We are seeking applicants for the Postdoctoral Research Fellowship at the Vanderbilt Genetics Institute. We are embedded in VGI (headed by Prof. Cox) and focus on studies of the genetic architecture of common diseases and traits. This postdoctoral fellow will be jointly supervised by Dr. and, Dr. Bick. We collaborate extensively with national and international consortia. Projects include genome-wide associations and whole-exome/genome sequencing studies. The successful candidate will have the opportunity to work on large-scale consortium datasets and the Electronic Health Record-linked Vanderbilt Biobank (BioVU). He/she will work in a team environment and apply existing genetics, statistics, and bioinformatics tools. A primary role will be contributing to research projects' design, implementation, manuscript preparation, and assisting in grant writing. He/she will be responsible for analyzing/summarizing large-scale genetic data on common diseases and traits for publications. The ideal candidate should hold a PhD in genetic epidemiology, statistical genetics, bioinformatics, or a related field. The applicant should be highly self-motivated and have a record of first-authored publications in respected journals. Statistical and programming skills, such as R and the use of UNIX/LINUX, are required. Experience in genome-wide methods, such as GWAS and post-GWAS analysis, and bioinformatic integration is desirable. Application address: Interested candidates should submit application materials containing 1) CV, 2) contact information for three referees, and 3) a brief summary discussing your research interest or fit with the lab research, preferably as a single PDF file.
Kevin LuActive 2 months ago
