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Job DescriptionWe have an opening for a hybrid research and radiotherapy physics residency position in the Department of Medical Physics, with a flexible start date for the right candidate. This is a hybrid residency program in which a two-year grant-funded research project is followed by a two-year clinical residency in radiotherapy physics. Those who enter the 4-year program without CAMPEP credentials will be enrolled in a CAMPEP Certificate program with full tuition support from the department. You will be required to complete a Certificate program during the first two years of the program before entering clinical training. Research for this position will be conducted under Dr. Xiang Li, Ph.D., DABR, on a project titled “Deep Learning Empowered Target Decomposition Technique for Markerless Intrafraction Motion Monitoring.” You will be responsible for developing different deep-learning modules for this particular application, validating algorithms with clinical data, and preparing manuscripts for publication. You will also be able to participate in the other projects conducted by the research team as deemed fit.
The Department of Medical Physics consists of over eighty faculty physicists and computer scientists plus support staff working on various physical problems related to diagnosis and therapy for cancer. MSKCC has an extensive, cutting-edge program in all aspects of radiation oncology physics that seeks to improve the clinical effectiveness of radiation therapy in partnership with radiation oncologists, radiologists, and other medical professionals. Many new programs in radiation therapy research and development are ongoing, including the development of real-time motion adaptation during treatment on the MR-linac and conventional linac platforms, the development and clinical use of predictive models using machine learning/AI for treatment planning, improved treatment planning optimization algorithms, integration of MR and PET imaging into radiotherapy decision making and treatment planning, 4D imaging and motion management, the use of Deep Learning and AI for image analysis and tissue segmentation, and the development of informatics-based adaptive radiotherapy processes (www.mskcc.or/departments/medical-physics). Medical physics resources include thirty linear accelerators, one combined treatment room-MRI-Linac system, six HDR units, CT, PET/CT, MRI simulators, and state-of-the-art inter-and intra-fractional imaging and motion management capabilities. We can access a high-performance computer cluster with the most advanced GPU resources. We also partner with the New York Proton Center, which houses one cyclotron, three rotational gantry treatment rooms, one fixed beam treatment room, one research beam room, PET/CT, two CTs, two MRIs, and related clinical support space.
Details of the residency program can be found at https://www.mskcc.org/hcp-education-training/residencies/residency-therapeutic-medical-physics. The successful candidate will be compensated according to the MSKCC standard rates based on experience. Specific information on employee benefits offered may be found at https://careers.mskcc.org/learn-about-msk/benefits/.
The ideal candidate should have:
Doctorate in medical physics, mathematics, computer science, engineering, or similar scientific discipline. Expertise in medical imaging and deep learning. Programming skills with Python and Matlab. Track record of peer-reviewed publications Additional requirements may be found on our website (www.mskcc.or/departments/medical-physics).
If you have any questions about this job opportunity, please contact:
Jeanne Estimé, BS
Medical Physics, Residency Coordinator
Department of Medical Physics
estimej@mskcc.org
** Please include a letter of intent, curriculum vitae, three letters, or references in your application submission.
Salary: $55,439 - $85,402
#LI-Onsite#LI-Onsite ClosingMSK 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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