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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

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Country

United States

University

Icahn School of Medicine at Mount Sinai

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Keywords

Computer Science
Biology
Medical Science
Genetic
Statistics
Bioinformatic
ML

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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.

More information can be found here

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