Location: New York, NY
Cap-Exempt H-1B Position — No lottery required
Department: Data Science & Analytics Location: New York, NY Salary: 83,800.00 - 134,000.00 USD Annual ##### **Job details** **About Us:** 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:** The Vickers Lab at Memorial Sloan Kettering Cancer Center (MSK) is seeking an Assistant Research Biostatistician to join our highly productive and collaborative research team. Led by Dr. Andrew Vickers, a globally recognized cancer biostatistician, the lab has driven numerous methodological and clinical advances, including decision curve analysis, clinically integrated randomized trials, and the widely used prostate cancer test, the 4Kscore. Dr. Vickers collaborates extensively across MSK and leads several large international research initiatives. The team is known for its high-impact work and strong commitment to scientific excellence. Current projects emphasize machine learning applied to pathology imaging, requiring advanced analytical and programming capabilities. ## **Role Overview:** - Perform statistical analyses to support clinical and methodological research studies - Collaborate with multidisciplinary teams across MSK and external international partners - Apply and develop machine learning approaches, particularly for pathology image analysis - Write and maintain clean, reproducible code for complex datasets - Contribute to study design, data interpr