Postdoctoral Fellow, Computational & Systems Biology - Dey Lab at Memorial Sloan Kettering Cancer Center

Memorial Sloan Kettering Cancer Center

3.4

(47)

New York, NY

Why you should apply for a job to Memorial Sloan Kettering Cancer Center:

  • 77% say women are treated fairly and equally to men
  • 64% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Our paid parental leave provides six weeks of fully paid time off to bond with a newborn, newly adopted child, or placed foster child.
  • Full range of best-in-class work/life offerings includes remote/flexible work options; back-up childcare and adult care, childcare centers
  • Income protection provides financial security to help make up for the loss of your regular income should the unexpected occur
  • #Kettering_Cancer_Center_FGB-2023-72163

    Position summary

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    Job details

    The Dey Lab in Computational & Systems Biology program at Memorial Sloan Kettering Cancer Center is seeking postdoctoral fellow in machine learning/artificial intelligence and applied statistics to lead inter-disciplinary collaborative projects in biological sciences supervised by Dr. Dey, in collaboration with Dr. Rahul Mazumder , MIT Sloan School of Management ( http://https://www.mit.edu/~rahulmaz/ ) . The candidate will work to

    --Develop and apply state-of-the-art local and global matrix completion approaches to omics data in the context of human diseases .

    --Build large scale neural network and graph-embedding models on biomedical and cancer knowledge graphs, with applications to predicting patient risk.

    --Work on multimodal diffusion and transformer-based language models to connect different modalities of genomic and genetic data.

    We welcome applications from candidates with an exceedingly strong quantitative background in computer science, statistics/biostatistics, computational biology, or other related domains. The applicant would be required to have prior experience working on machine learning, optimization, and AI models. The candidate must be proficient in computing, with expertise in Python and computing on GPUs. Prior background in biological sciences will be a plus, but not required .

    The candidate's primary affiliation will be with 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 regular meetings with Drs Dey and Mazumder and will also be working closely with collaborators from various consortia like ADSP, ENCODE, and IGVF. The candidate will also be working closely with the MSKCC AI/ML team to implement large-scale machine learning models.

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

    [email protected]

    [email protected]

    Salary: $55,439 - 100,940 ( depending on postgraduate experience)

    #LI-Onsite

    #LI-Onsite

    Why you should apply for a job to Memorial Sloan Kettering Cancer Center:

  • 77% say women are treated fairly and equally to men
  • 64% say the CEO supports gender diversity
  • Ratings are based on anonymous reviews by Fairygodboss members.
  • Our paid parental leave provides six weeks of fully paid time off to bond with a newborn, newly adopted child, or placed foster child.
  • Full range of best-in-class work/life offerings includes remote/flexible work options; back-up childcare and adult care, childcare centers
  • Income protection provides financial security to help make up for the loss of your regular income should the unexpected occur