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 pursue our mission at MSK and worldwide. One of the world’s most respected comprehensive centers devoted exclusively to cancer, we have been recognized as one of the top two cancer hospitals in the country by U.S. News & World Report for more than 30 years.
Exciting Opportunity at MSK: Postdoctoral Fellow, Computational Oncology
The Tansey lab is seeking to recruit Postdoctoral Fellows to join a dynamic and highly collaborative program in Computational Oncology. The Tansey lab focuses on developing novel data science and machine learning methods that address pressing needs in cancer. Applications will be considered on scientific merit, and we seek to support underrepresented gender, racial, ethnic, and other groups in biomedical sciences, including exceptional candidates for The Henry and Alexia Fernandez Computational Oncology Fellowship. MSK provides strong support for the development of postdocs, competitive salaries, and benefits.
Learn more about the research lab by exploring: https://www.mskcc.org/research-areas/labs/wesley-tansey
Core Skills & Abilities:
Key Qualifications:
Pay Range: $55,439 – 100,940
Helpful Links: MSK's Compensation Philosophy and Benefits
Application Requirements:
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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.
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