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Publisher
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Icahn School of Medicine at Mount Sinai

Postdoctoral Position in Gene Association, PheWAS, and AI/ML for Genetic Variant Function Icahn School of Medicine at Mount Sinai in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full 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
Artificial Intelligence
Precision Medicine
Medical Science
Biobanking
Genetic
Statistics
Bioinformatic
Programming Language
Machine learning

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About this position

Yuval Itan’s lab is advertising an open postdoctoral position focused on human genetics, human disease genomics, precision medicine, gene association, PheWAS, and AI/ML for predicting genetic variant function.

The role involves leading large-scale analyses in major biobanks and developing computational models to interpret variant effects. This is a strong fit for candidates with a background in human genetics, bioinformatics, statistics, and machine learning, especially those with solid programming experience and a strong publication record.

The post is shared by Yuval Itan, Associate Professor at the Icahn School of Medicine at Mount Sinai. No deadline, funding details, or application portal are provided in the post.

Interested candidates should contact the lab directly and send a CV to the poster if instructed in the original opening.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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