The postdoctoral fellow will develop and apply computational methods utilizing genetic and omics data to understand health and disease phenotypes. The position is in the Sofer lab, within the program of Sleep Medicine Epidemiology at the Harvard Medical School and Brigham and Women’s Hospital. Current areas of methodological applications in the group include genetic association analyses, variance components models, and polygenic risk scores development.  Data types include genetics, metabolomics, RNA-seq, proteomics, and methylation. Phenotypic domains of interest include sleep, cognitive function, and cardiometabolic phenotypes. Specific projects will depend on the fellow’s skills and interests. The fellow will work collaboratively with a diverse group of experts in statistics, bioinfo