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.
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Job Description:Join MSK as a Graduate Research Assistant (GRA) in the Advanced Computing and Oncology Laboratory within the Department of Radiation Oncology. This is an outstanding opportunity to engage in groundbreaking projects related to cancer imaging, visual computing, and advanced modeling of multimodal oncology data. Work alongside world-class researchers and clinical oncologists to make a significant impact on medical AI research and cancer outcomes.
Role Overview:
The Graduate Research Assistant will provide support for projects involving radiology, digital pathology, genomics, and circulating tumor markers. Work with the principal investigator (PI) to gather data and assess new AI/ML predictive models for oncology applications. This position emphasizes research activities and the management of data acquisition, organization, and visualization to facilitate data-driven science
This role offers an outstanding opportunity to advance your career in an encouraging and innovative environment. Collaborate with a hard-working team dedicated to revolutionizing cancer research and treatment.
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 that cannot lawfully be used as a basis for an employment decision.
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