Department of Radiation Oncology | Icahn School of Medicine at Mount Sinai, New York City

The CAMPEP-accredited Medical Physics Residency Program at the Icahn School of Medicine at Mount Sinai (https://icahn.mssm.edu/medicalphysicsresidency) invites applications for a three-year resident position. The training program is scheduled to start on September 1, 2026.

Our residency program is designed to prepare residents for successful professional careers and leadership positions in medical physics through a unique curriculum that combines rigorous research training with comprehensive clinical experience. Following the recommendation of AAPM Report #249, the program consists of one year of dedicated research followed by two years of structured clinical training.

Clinical Training & Technology

Residents complete 12 clinical rotations encompassing all major aspects of radiation oncology physics practice. Training includes: treatment planning and dosimetric systems; IGRT, HDR and LDR brachytherapy; machine commissioning and quality assurance; motion management using AlignRT and RPM; special procedures such as IVBT, Xofigo, ZEISS IntraBeam IORT, total skin electron therapy, total body irradiation, and radiation protection/shielding.

The Mount Sinai Health System operates 11 linear accelerators, primarily Varian TrueBeam machines, in addition to a Gamma Knife radiosurgery unit and multiple brachytherapy systems. A new Elekta Unity MR-Linac is currently being installed and is expected to be operational in 2026. Residents also complete a proton therapy rotation at the New York Proton Center, where Mount Sinai serves as a founding partner institution.

Additional educational opportunities include teaching activities through the joint Stony Brook University/Mount Sinai Medical Dosimetry Program.

Research Opportunities

The Department of Radiation Oncology maintains a robust, federally funded clinical research program with active collaborations across clinical, translational, and computational sciences. The successful candidate will have ample opportunity to participate in research projects in: artificial intelligence (AI) and machine learning in radiation oncology; medical image analysis and image-guided radiotherapy; treatment planning optimization and automation; clinical informatics and workflow development; outcome prediction and decision-support systems; novel imaging and treatment technologies; MR-guided radiotherapy; proton therapy.

About Mount Sinai & Department

The Icahn School of Medicine at Mount Sinai is internationally recognized for excellence in patient care, medical education, and biomedical research. The Mount Sinai Hospital is consistently ranked among the nation’s top hospitals and was recently recognized among the world’s leading smart hospitals.

The Department of Radiation Oncology treats approximately 230 patients daily across the Mount Sinai Health System and is supported by a collaborative team of 18 full-time board-certified medical physicists, 12 dosimetrists, 5 medical physics residents, and 31 radiation oncologists. This large and diverse clinical environment provides exceptional exposure to a broad range of disease sites, treatment techniques, and technologies.

Qualifications

· A Ph.D. degree in medical physics, biomedical engineering, or a related field.

· Completion of a CAMPEP-accredited certificate program or CAMPEP-accredited graduate coursework is preferred.

· Excellent verbal and written communication skills.

· Eligibility to work in the United States.

How to Apply

The application must include the following:

· Letter of Interest including research experience

· Applicant’s CV

· Three letters of reference

· Copy of transcript with CAMPEP coursework

Interested applicants should submit all application materials electronically to Ming Chao, PhD, Program Director, via email at ming.chao@mountsinai.org.

Mount Sinai Health System is an Equal Opportunity/Affirmative Action employer. We encourage applications from women and underrepresented minorities. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability.