Postdoctoral Research Fellow

Description:

The fellow will work on R01-funded projects leveraging cohorts COPDGene, LTRC, and other multi-omic studies in the Trans-Omics in Precision Medicine (TOPMed) Program. Projects include single- and multi-trait common and rare variant genetic association analysis; polygenic and other omic risk scores; lung micro-RNA and metabolomics; single cell ATAC- and RNA-Seq; applications of gene regulatory networks; and disease subtypes. The candidate will work with Dr. Michael Cho, Associate Professor of Medicine, as part of an interdisciplinary and multi-institutional team, including genetic epidemiologists, biostatisticians, computer scientists, physicians, and molecular biologists.

Qualifications

Qualified candidates should have a Ph.D. in epidemiology, biostatistics, bioinformatics, or a related quantitative field, with previous experience in analyzing large-scale omics data and strong programming skills in R / Bioconductor or Python. M.D.s with quantitative expertise are also encouraged to apply. Candidates should also have excellent communication (oral and written) and documentation skills, adhere to reproducible research standards, work well in teams, and interact with all levels of staff.