Current Opportunities at Vanderbilt

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 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 Vanderbilt’s lead role in the President’s Precision Medicine Initiative and now All-of-US. Our school is committed to the principles of equal opportunity for employment.

We are seeking for applicants for the Postdoctoral Research Fellowship at the Vanderbilt Genetics Institute. The new Lu’s lab focuses on studies of the genetic architecture of cardiometabolic diseases, especially the metabolic parts of these diseases and traits. Dr. Lu is currently supported by several ongoing NIH R01 grants (R56HL150186, R01HL158884 and R01DK135938). We collaborate extensively with national and international consortia. Projects include genome-wide associations and whole exome/genome sequencing studies.

The successful candidate will have opportunity to work on large-scale consortium datasets, and the EHR-linked Vanderbilt Biobank (BioVU). He/she will work in a team environment. He/she will apply existing genetics, statistics and bioinformatics tool. A primary role will be contributing to the design, implementation, manuscript preparation of research projects and assist 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 the relevant experience with the first-author papers/manuscripts. 

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

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