Jobs at Mount Sinai, New York (USA)

Icahn School of Medicine at Mount Sinai is looking for a Postdoc and a computational research scientist.

We are inviting applications for a Postdoctoral Research Fellowship in genetic epidemiology, statistical genetics or related fields with an interest in cardiometabolic traits and diseases.

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 [1] in an ancestrally diverse population of >37,000 individuals recruited from throughout New York City through the Mount Sinai’s ongoing BioMe EMR-linked Biobank, [2]in the large-scale UK Biobank (n = 500,000), and [3] 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 exome and whole genome 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.

You will be based at the main campus, which stretches from East 98th to 102nd Streets between Madison and Fifth Avenues on Manhattan’s Upper East Side and Central Park.

To apply, please send CV and cover letter by May 7 to Ruth Loos (ruth.loos@mssm.edu).

Information on the Postdoctoral Training Program at Mount Sinai: http://icahn.mssm.edu/education/postdoctoral-training

To learn more about the Icahn School of Medicine: http://icahn.mssm.edu

Incoming postdoctoral fellows are eligible for affordable Mount Sinai Housing within walking distance of the medical school and of a wide range of amenities.


 

Computational research scientist

Icahn School of Medicine at Mount Sinai

We are seeking to strengthen our analytical team at the Institute for Personalized Medicine, at the Icahn School of Medicine at Mount Sinai with an outstanding computational research scientist, interested in the genetics and genomic of complex traits.

The Charles Bronfman Institute for Personalized Medicine is an interdisciplinary institute to advance personalized health and health care. One of the institute’s key resources is the BioMeelectronic health record (EHR)-linked Biobank, an ancestrally diverse population of >37,000 individuals recruited from throughout New York City. BioMe has a longitudinal design and captures and full spectrum of common and rare biomedical phenotypes. BioMe is also rich in genetic data, including genome-wide array genotypes, and exome (N ~37,000) and whole genome (N ~15,000) sequencing data.

The successful candidate will manage the challenges of EHR-linked data, apply phenotypic algorithms and efficiently analyze and interpret the results. This will involve the application of variant calling and annotation software to high‐density genotyping and sequencing data (including genome‐wide arrays, ExomeChip, and next generation sequencing), as well as the application and development of approaches aimed at streamlining pipelines to deal with the analyses and interpretation of data from genetically diverse populations. S/he will integrate the increasing amount of data for further downstream analyses.

The ideal candidate has a PhD in Computer Science/ Statistics/Bioinformatics/statistical genetics/genetic epidemiology/computational biology or a related discipline. An understanding of biology, particularly genetics, is advantageous. He or she will have excellent programming skills (e.g. Perl or Python) and proven experience in the manipulation and statistical analysis (e.g. R) of large datasets from different sources and in different formats, and in conducting and organizing research projects.

The successful candidate will be part of a stimulating and internationally competitive scientific environment, and is expected to work closely with colleagues in the institute. Salary will be commensurate with experience and NYC living costs.

To apply, please send CV and cover letter by May 7 to Ruth Loos (ruth.loos@mssm.edu) and Ron Do (ron.do@mssm.edu).

To learn more about the Icahn School of Medicine: http://icahn.mssm.edu

The position can also be filled as a postdoctoral fellowship. Information on the Postdoctoral Training Program at Mount Sinai: http://icahn.mssm.edu/education/postdoctoral-training. Incoming postdoctoral fellows are eligible for affordable Mount Sinai Housing within walking distance of the medical school and of a wide range of amenities.