91³Ô¹ÏÍø

The 91³Ô¹ÏÍø Genetics Institute (VGI) at 91³Ô¹ÏÍø School of Medicine was established to foster scientific interactions at the clinical, molecular, and analytical levels by providing state-of-the-art resources to 91³Ô¹ÏÍø 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, and 91³Ô¹ÏÍø’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 91³Ô¹ÏÍø Genetics Institute. We are embedded in VGI (headed by Prof. Cox) and focus on studies of the genetic architecture of cardiometabolic diseases, especially the metabolic parts of these diseases and traits. This postdoctoral fellow will be jointly supervised by Dr. Lu (), Dr. Bick (); and Dr. Cox (). 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 EHR-linked 91³Ô¹ÏÍø Biobank (BioVU). He/she will work in a team environment. He/she will 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 cardiometabolic traits and diseases for publications. He/she must demonstrate relevant experience with the first-author papers/manuscripts. 

Applicants must hold a PhD degree in genetics, epidemiology, statistical genetics, bioinformatics, biostatistics, computer science, or a related field. Statistical and programming skills, such as R and the use of UNIX/LINUX, are required. Experience in genetic and bioinformatics data analysis is desirable

Applicants could contact Kevin Lu for more information: kevin.lu@vumc.org.