Postdoctoral Fellowship in Cancer Metabolism and Genomics

Institution/Company:
Memorial Sloan Kettering Cancer Center
Location:
New York City, New York, United States
Job Type:
  • Postdoctoral
Degree Level Required:
PhD
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Postdoctoral Fellowship in Cancer Metabolism and Genomics

Postdoctoral Fellowship in Cancer Metabolism and Genomics

Responsibilities:

We are seeking candidates for a joint postdoctoral fellowship in the Reznik (http://edreznik.org) and Shah laboratories at Memorial Sloan Kettering Cancer Center (MSKCC) to study tumor metabolism and genetics using single cell approaches. An energetic and creative scientist with a background in computational models of metabolism, genomics, or machine learning is sought to lead new studies of ecological interactions in the tumor microenvironment, tumor evolution, and therapeutic resistance with single cell RNA and DNA sequencing. The fellow will join a diverse group of quantitative geneticists, genomicists, and machine learners embedded in the Computational Oncology Service, a new initiative dedicated to translational, data-driven cancer science and tightly integrated with the work of MSK’s clinicians. Applicants must possess a PhD in a quantitative discipline, including but not limited to computational biology, computer science, machine learning, or applied mathematics. A background in cancer genomics is an asset but not required.

Interested candidates should send a cover letter, curriculum vitae, and contact information for 3 references to Ed Reznik (reznike@mskcc.org).

Qualifications:

  • PhD in quantitative discipline, including but not limited to computational biology, computer science, bioinformatics, machine learning, or applied math.
  • Expertise in R or Python
  • Familiarity with machine learning approaches to data analysis
  • Background in cancer genomics preferred but not required.
  • How to Apply

    Interested candidates should send a cover letter, curriculum vitae, and contact information for 3 references to Andrew Madouty (madoutya@mskcc.org).