Faculty positions in Computational Oncology


The Computational Oncology Program at Memorial Sloan Kettering Cancer Center (MSK) is inviting applications for tenure track faculty positions at the level of Assistant and Associate Member. Cancer research has firmly moved in the direction of quantitative and data driven science. Responding to this challenge, we are seeking exceptional early to mid-career candidates to develop independent research programs and join our efforts to grow and advance computationally focused cancer research at MSK. We are seeking candidates to join our faculty with research interests in (but not limited to) single cell profiling (all modalities - genome, transcriptome, proteome, epigenome, etc…), AI methods for medical and cellular imaging, cancer evolution, large scale clinical genomics, spatial transcriptomics, the tumor microenvironment & immunogenomics, longitudinal timeseries analysis, drug response, the cancer microbiome, and other cancer-related disciplines. Candidates’ research objectives can span questions in basic cancer biology, clinical translation, computational methods, and/or large-scale data analysis. Eligible candidates will have a PhD in Bioinformatics, Computational Biology, Computer Science, Mathematics, Statistics or a related discipline. Candidates with strong backgrounds in machine learning/AI, algorithm development, mathematical modeling and/or data science and bioinformatics with proven publication track records in biomedical research and/or data-driven discovery are strongly encouraged to apply.

Our program is located at a newly created computational campus of MSK, encompassing the Computational Oncology research laboratories, flanked by other computational groups such as clinical bioinformatics, radiology informatics, high performance computing, the Marie-Josée and Henry R. Kravis Center for Molecular Oncology (CMO) Computational Sciences and Technology Innovation groups. Our faculty develop fully independent computational research programs, often collaborating extensively with the clinical faculty at MSK across all disease areas, providing unique opportunities to integrate clinical datasets into computational research. Opportunities to establish collaborations with faculty in other programs including, for example, the Human Oncology and Pathogenesis Program, the CMO, the David M. Rubenstein Center for Pancreatic Cancer Research, the Parker Institute for Cancer Immunotherapy are highly supported and encouraged.

Faculty will also be eligible to hold appointments in Gerstner Sloan-Kettering Graduate School of Biomedical Sciences, the Weill Cornell Medical College (WCMC) Graduate School and the Tri-Institutional Computational Biology for Medicine program across MSK and WCMC, providing access to exceptional graduate students.

Applications should be received by December 1, 2019. Memorial Sloan Kettering Cancer Center is an affirmative action, equal opportunity employer with a strong commitment to enhancing the diversity of its faculty and staff.  Women and applicants from diverse racial, ethnic and cultural backgrounds are encouraged to apply. To learn more about Computational Oncology, please visit: http://CompOncMSK.org.

MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision.

Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

Application Requirements

Please send curriculum vitae, a summary of current and proposed research programs, and arrange for three letters of recommendation to be sent to:

Sohrab P Shah, Chief Computational Oncology
c/o Cynthia Berry
Memorial Sloan Kettering Cancer Center
417 East 68th Street ZRC 581 
New York, NY 10065;
E-mail: CompOncBST@mskcc.org