Pay Range: $72,000 - $94,000 Company Overview:
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.
Job Description:
Exciting Opportunity at MSK: We have an opening for a hybrid research and medical physics residency position in the Department of Medical Physics, with a flexible start date for the right candidate.

KEY REQUIREMENTS

• Doctorate in medical physics, mathematics, computer science, engineering, or similar scientific discipline
• Interest in and commitment to high quality patient care
• Expertise in medical imaging and deep learning
• Programming skills with Python and Matlab
• Track record of peer-reviewed publications
• Additional requirements may be necessary for admission into a concurrent certificate program.

This is a hybrid residency program in which a two-year grant-funded research project is followed by a two-year clinical residency in either therapeutic or diagnostic medical physics. Those who enter the 4-year program without CAMPEP credentials must apply to enroll in a CAMPEP Certificate program. If you are accepted into the Certificate program, the department will provide full tuition reimbursement. You will be required to complete the Certificate program during the first two years of the program before entering clinical training. Research for this position will be conducted under Dr. Tianfang Li, Ph.D., DABR, on a project titled “Markerless Prostate Tracking during VMAT Radiotherapy.” You will be responsible for developing diverse image reconstruction algorithms, including deep learning-based methods, validating these algorithms with clinical data, and preparing manuscripts for publication. Additionally, you will have the opportunity to contribute to other research projects undertaken by the team as appropriate.