Postdoctoral Fellow-MSH-32910-031
About The Position
A computational postdoctoral position is available immediately in Human Genetics and electronic data mining for a faculty member’s research lab in the Department of Artificial Intelligence and Human Health, Icahn School of Medicine at Mount Sinai, New York. The lab focuses on determining the genetic and biological bases of complex disease by utilizing approaches from machine learning, human genetics, genetic epidemiology, statistical genetics, population genetics and computing. Current research areas of interest include leveraging machine learning and electronic health record data mining for: (1) disease risk prediction (2) drug target prioritization (3) penetrance of clinical variants (4) genetic association analyses and (5) polygenic risk prediction.
Requirements
- Ph.D., M.D. or equivalent doctorate with a strong background in human genetics, population genetics, bioinformatics, computational biology, or a related discipline.
- Proficiency in programming (e.g. Perl or Python) and statistical computing (e.g. R).
- A strong track record of scientific productivity and/or leadership.
Responsibilities
- Work on large-scale cutting-edge sequencing, genotyping and functional data.
- Have substantial input to the specific nature of their research project but should broadly fit within both lab’s overall research goals.
- Benefit from collaborations with neighboring labs in the Charles Bronfman Institute for Personalized Medicine, Department of AIHH and GGS.
Benefits
- Competitive salary
- Benefits
- Travel opportunities
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
