Data Scientist @ Ron Do Lab

Charles Bronfman Institute for Personalized Medicine, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai
Job Location
Mount Sinai School of Medicine
New York, NY 10029

The term for this position is for 3 years with possibility of an extension depending on successful progress and available funding. A competitive salary, benefits and travel opportunities will be offered commensurate with experience and qualifications.

Job Description

A computational data scientist position is available immediately in Dr. Ron Do’s lab. The Do lab is in the Charles Bronfman Institute for Personalized Medicine, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York.

The Charles Bronfman Institute for Personalized Medicine is an interdisciplinary institute focused on genomic and precision medicine. The electronic health record (EHR)-linked BioMe Biobank is a central resource of the institute and currently has enrolled >34,000 individuals from diverse ancestries from in and around New York City. BioMe has an extensive set of genetic data including genome-wide array genotypes, and exome (N ~34,000) and whole genome (N ~15,000) sequencing data.

Dr. Do’s lab focuses on determining the genetic and biological bases of complex disease. The group pursues these interests by utilizing approaches from statistical genetics, population genetics, human genetics and genetic epidemiology. 

Current lab research areas include: (1) Causal inference of biomarkers with complex disease; (2) Identification of biological processes of complex disease using functional data; (3) Inferring the strength and mode of natural selection for complex disease; (4) Rare variant association studies using sequencing data; (5) Data mining in electronic health records.

The successful candidate will have the opportunity to work on large-scale cutting-edge sequencing, genotyping and high-throughput functional data. Some duties and responsibilities include: developing computational pipelines to analyze large-scale sequencing data, data mining in EHR-linked data, statistical modeling and methods development.

Lab members will benefit from collaborations with neighboring labs in the Charles Bronfman Institute for Personalized Medicine, the Center for Statistical Genetics, and the Icahn Institute for Genomics and Multiscale Biology.


1. Candidates should have a Ph.D., M.D. or equivalent doctorate in Computer Science, Statistics, Bioinformatics, Statistical Genetics, Computational Biology or a related discipline

2. Candidates should have proficiency in programming (e.g. Perl or Python) and statistical computing (e.g. R).

3. Candidates should have a track record of scientific productivity and/or leadership.

How to Apply

Please send inquiries via email to Informal inquiries are welcome.

About Our Organization

Mount Sinai Medical Center

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