Postdoctoral Researcher positions in Statistical/Generative AI applications in genetics

Dr. Kushal Dey,

Assistant Professor, Computational and Systems Biology Program,

Memorial Sloan Kettering Cancer Center (MSKCC)

The Kushal Dey lab in the Computational and Systems Biology program at the Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, has 3 postdoctoral researcher positions available in statistical genetics and generative AI models.  

Statistical Genetics postdoc:

The Statistical Genetics postdoc will be working with Dr. Dey and Dr. Rahul Mazumder from MIT and other collaborators from MSKCC, Columbia University, Stanford University, and Harvard T.H.Chan School of Public Health on

Develop machine learning models for multi-ancestry functional fine-mapping and polygenic risk score models. Build graph-embedding models on biomedical and cancer knowledge graphs. Performing GWAS-to-function methods integrating functional data from IGVF, ENCODE consortia with GWAS data.

We welcome applications from candidates with an exceedingly strong quantitative background in statistics, biostatistics, computer science, or other related domains. The applicant would be required to have prior experience working with large data, resulting in a high quality first/co-first author publication. The candidate must be proficient in computing, with expertise in R and/or Python.

The candidate’s primary affiliation will be through the Sloan Kettering Institute, MSKCC located on the Upper East Side of New York City. It is part of the vibrant Tri-Institutional Research campus adjacent to Rockefeller University and Weill Cornell Medical College. Sloan Kettering offers competitive postdoc salaries and convenient subsidized housing.

The candidate will have weekly meetings with Dr. Dey and will be working closely with collaborators from various consortia like ADSP, ENCODE, and IGVF.

To apply, please send a CV, a brief cover letter outlining your interest, and names/contact information for three references to both the following email addresses:

[email protected]