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Mount Sinai Medical Center is seeking a highly motivated Postdoctoral Research Fellow in New York to work on multimodal AI for prostate cancer imaging. The ideal candidate will have a PhD in a related field and a strong background in deep learning and medical image analysis.
This position involves designing AI models, collaborating with clinical specialists, and preparing scientific manuscripts. The role offers a salary range of $72,500 to $80,000 based on experience and education.
The Radiology Intelligence Group is seeking a highly motivated Postdoctoral Research Fellow in the Department of Diagnostic, Molecular, and Interventional Radiology at the Icahn School of Medicine at Mount Sinai. This position is centered on multimodal AI for prostate cancer imaging, with secondary interests in clinical natural language processing and computer vision. The research fellow will contribute to federally funded and institutionally supported research programs that develop and validate AI‑driven tools to improve prostate cancer detection, characterization, and treatment guidance. The role offers an excellent opportunity to conduct innovative AI research powered by large‑scale, real‑world clinical data and to work directly with a team of AI scientists and world‑renowned clinicians in radiology, pathology, and urology, gaining cross‑disciplinary expertise that accelerates translational AI research from bench to bedside.
The salary range for this role is $72,500 – $80,000 per year. Actual salaries depend on experience, education, and operational needs. The listed salary does not include bonuses, incentives, differential pay, or other forms of compensation or benefits.
The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported.