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Memorial Sloan Kettering Cancer Center in New York, NY invites applications for a Postdoctoral Research Fellow to develop novel statistical methods addressing clinical and translational questions in cancer.
The two-year fellowship may extend to a third year; collaborate with teams across institutions; proficiency in R or Python required.
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The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursueour missionat MSK and around the globe.
We are looking for a highly motivated postdoctoral research fellow to develop novel statistical methods to address clinical and translational research questions at the Memorial Sloan Kettering Cancer Center. Areas of interest include: (1) statistical methods for the analysis of spatial -omics data, (2) integrative analysis of multi-modal data, and (3) methods for analysis of synthetic data in the context of oncology research.
The fellow will also be involved in high-impact collaborative research with investigators in bone marrow transplantation and CAR-T cell therapy. The fellow will build their professional network by joining a cross-institutional team of statistical, clinical, and scientific investigators from Weill Cornell, Johns Hopkins University, Fred Hutchinson Cancer Center, and UCLA.
The fellowship length is for an initial period of two years, with the possibility of an extension into a third year.
Location: New York, NY