Yuval Itan
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Postdoc Positions in Disease Genomics, PheWAS, and AI/ML Variant Function Prediction Icahn School of Medicine at Mount Sinai in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Available
Country
United States
University
Icahn School of Medicine at Mount Sinai

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About this position
Yuval Itan’s lab at the Icahn School of Medicine at Mount Sinai is hiring two postdocs to work on biobank-scale disease genomics discovery, PheWAS, and AI/ML/LLM approaches for predicting genetic variant function.
This opportunity is especially relevant for candidates with a background in human genetics, bioinformatics, computational genomics, and data-driven analysis of large-scale biomedical datasets. The post emphasizes strong programming ability and a solid publication record, suggesting a research-intensive postdoctoral role with substantial computational and translational components.
Requirements: strong programming skills, a solid publication record, and a human genetics background.
Location/institution: Icahn School of Medicine at Mount Sinai, United States.
Application: The post asks interested people to share the opportunity, but it does not include a formal deadline or application portal.
Funding details
Available
What's required
Strong programming skills, a solid publication record, and a human genetics background are required.
How to apply
Share the post or contact the lab if you are interested; no formal application link is provided in the post.
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