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 pursue our mission at MSK and around the globe.

Key Requirements

 A PhD, completed or nearing completion, in a computational or quantitative discipline, including computational biology, bioinformatics, computer science, biomedical informatics, statistical genetics, biostatistics, statistics, engineering, or a related field. Expertise in at least one of the following areas: textual analysis, natural language processing, or large language models; GWAS, statistical genetics, or germline genomics; or immune-related adverse events or immuno-oncology. A strong interest in applying computational approaches to understand cancer treatment toxicity and improve patient care. Enthusiasm for learning new methods and collaborating across disciplines. Candidates are not expected to have experience in all of the research areas listed above. Strong quantitative reasoning and computational analysis skills. Ability to develop rigorous, reproducible analyses of complex biomedical datasets. Ability to formulate research questions and lead projects independently while contributing to collaborative work. Clear scientific writing and communication across computational and clinical disciplines.

Pay Range: 72,000-75,000

Submit C.V., letter of interest, and references in your application submission to:     
Ziad El Bakouny and Ed Reznik
elbakoz@mskcc.org and reznike@mskcc.org