By using genetics, this program aims to understand the biology that underlies the susceptibility to obesity and its links to related cardiometabolic traits. We study common, low frequency and rare variants  in an ancestrally diverse population of >33,000 individuals recruited from throughout New York City through the Mount Sinai’s ongoing BioMe EMR-linked Biobank,  in the large-scale UK Biobank (n = 500,000), and  in a unique discordant-sib family study.
The successful candidate will be supervised directly by the Dr. Ruth Loos. He or she will have the opportunity to work with a large portfolio of data collections (including EMR-linked, population-based, discordant-family designs) with high-density genotyping data (including genome-wide arrays, ExomeChip, and deep-sequencing), to develop their own research projects, and to participate in large-scale international collaborations.
The ideal candidate has a PhD or equivalent doctorate, a strong background in genetic epidemiology, epidemiology, statistical genetics, bioinformatics, computational biology or a related discipline and has demonstrated scientific productivity. Applicants should have a strong computational background, expertise with statistical genetic/bioinformatic software packages applied to large genomic data sets. S/he will be familiar with approaches to integrate biological information from a wide-range of (publicly available) data resources. Research experience in regulatory genomics and/or the genetics of obesity and cardiometabolic traits is a strong advantage.