Details
Posted: 11-Jan-26
Location: New York, New York
Categories:
Academic / Research
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.
Exciting Opportunity at MSK: Chair, Department of Cancer Data Science
Role Overview
- Provide inspiring and visionary leadership as Chair of the Department of Cancer Data Science which consists of forty-five faculty members with expertise in biostatistics, computational oncology, epidemiology, and related fields in population sciences, reporting jointly to the Chief Physician Executive and the Hospital President.
- Develop and execute a cohesive strategy that advances innovative quantitative methods and their translation across basic, translational, clinical, and population science.
- Champion the integration of machine learning and artificial intelligence in all aspects of our mission discovery, education, and care delivery; serve as a key partner with senior leadership on institutional AI strategy and data governance.
- Strengthen and expand existing programs while building out new services, including informatics--through strategic recruitment, mentorship, and faculty development.
- Foster cross-departmental and enterprise-wide partnerships; leverage MSK's unparalleled clinical, genomic, imaging, and pathology data assets to accelerate discovery and translational work that improves patient outcomes.
Key Requirements:
- PhD or MD/PhD in a relevant quantitative discipline.
- National/international recognition and accomplished leadership in data science fields relevant to cancer
- 5-7+ years of leadership experience in an academic medical center or cancer center; prior service as Chair/Section/Division Chief strongly preferred. Individuals with leadership experience in government or industry settings may also be considered.
- Proven ability to recruit, develop, and retain outstanding faculty; build high-performing, inclusive teams; and grow multi-investigator research programs.
- Track record of methodologic innovation and impactful scholarship; success securing federal, foundation, and/or industry funding.
- Exceptional communication, collaboration, and stakeholder engagement skills; highest standards of professional ethics and integrity.
Core Skills:
- Strategic planning and program building across quantitative sciences research and clinical translation.
- Expertise in AI/ML development and/or application to oncology research and care delivery.
- Operational stewardship: budgeting, resource allocation, and research compliance.
- Faculty mentorship, talent development, and culture-building across ranks and roles.
- Partnership development with internal/external stakeholders (e.g., SKI, clinical departments, data/IT leaders, federal agencies, foundations, and industry).
Application Instructions: Submit CV and a letter of interest (addressed to the MSK Search Committee) describing relevant experience, key achievements, and your vision for this role to:
Contact Name: Carrie Carpenter, Russell Reynolds Associates
Contact Email : carrie.carpenter@russellreynolds.com
Pay Range: $500,000 - $600,000 (total compensation).
Helpful links:
Pay Range: $0.00 - $10,000,000.00
FSLA Status: Exempt
Closing:
At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills.
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.
