About Us:
The MSK Theory Group is a new initiative to recruit advanced quantitative scientists to conduct interdisciplinary research at the frontier of cancer, immunology, artificial intelligence, ecology, and evolution in close collaboration with world-class experimentalists and physician-scientists at Memorial Sloan Kettering Cancer Center.
• This research position is aimed at postdocs who are specifically looking to apply their theoretical training to problems in cancer and have a demonstrated record of quantitative training applied to problems in biology, including using and developing frontier methods in artificial intelligence.
• The project scope requires a strong desire to derive quantitative insights from unique data and interface directly with experimentalists and physician-scientists to answer some of the toughest problems in biology.
• A successful candidate will have considerable independence as a fellow, participate in weekly chalk talks, and interact with aligned investigators in the Greenbaum and other labs.
Key Requirements:
• PhD in physics, mathematics, computer science, or other quantitative research discipline with demonstrated theoretical research output.
• Demonstrated strong expertise in frontier modeling concepts in a related field.
• Experience in programming, with a desire to learn about computational analysis of biological data towards predictive models.
• Track record of exceptional publications.
• Ability to draw connections between disparate disciplines (as demonstrated through publications, presentations, talks, funding sources).
• Ability to work collaboratively in a multidisciplinary team environment.
Preferred Skills:
• Some experience working with biological data
• Strong interest in translational research and collaboration with clinical teams
Pay Range: $77,591 - $85,000
Application Instructions: Submit C.V., letter of interest, and references in your application submission to: Stephen Martis at [redacted] (subject line: Theory fellow application)
Pay Range: $0.00 - $10,000,000.00
FSLA Status: Exempt
