Volunteer Research Fellow Radiology Jobs (NOW HIRING)

Postdoctoral Research Fellow in Multimodal AI for Prostate Cancer Imaging 

(Icahn School of Medicine at Mount Sinai, New York, NY)

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 NLP 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. This is 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.

Strength through Unity and Inclusion

The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai's unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.

At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.

About the Mount Sinai Health System:

Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time - discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients' medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report's "Best Children's Hospitals" ranks Mount Sinai Kravis Children's Hospital among the country's best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek's "The World's Best Smart Hospitals" ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.

Equal Opportunity Employer

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. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

The qualifications are (1) PhD in Computer Science, Electrical Engineering, Biomedical Engineering, or a closely related field; (2) strong background in deep learning and medical image analysis, with demonstrated experience in image segmentation, classification, detection, or multimodal learning for radiology applications; (3) strong publication record as the first author in peer-reviewed venues such as MICCAI, ISBI, CVPR, IEEE Transactions on Medical Imaging, Medical Image Analysis, Radiology journals, or equivalent venues; (4) Experience with multiparametric MRI analysis and/or radiology?pathology correlation analysis in prostate cancer is a plus; (5) Experience with clinical NLP applied to clinical or radiology text (e.g., report generation, entity extraction, or LLM fine-tuning) is a plus; (6) Familiarity with agentic AI frameworks, AI infrastructure, and deployment tools (e.g., high-throughput LLM inference frameworks vLLM) is a plus.

Interested candidates should send the following materials to Dr. Yan Zhuang (yan.zhuang@mssm.edu) with the subject line "Postdoc Research Fellow Application ? First Name Last Name": (1) a CV; (2) a brief statement of interests; (3) the earliest start date; (4) a list of three references. Informal inquiries are warmly welcomed before a formal application.

, 860 - Diagnostic, Molecular and Interventional Radiology - ISM, Icahn School of Medicine

The qualifications are (1) PhD in Computer Science, Electrical Engineering, Biomedical Engineering, or a closely related field; (2) strong background in deep learning and medical image analysis, with demonstrated experience in image segmentation, classification, detection, or multimodal learning for radiology applications; (3) strong publication record as the first author in peer-reviewed venues such as MICCAI, ISBI, CVPR, IEEE Transactions on Medical Imaging, Medical Image Analysis, Radiology journals, or equivalent venues; (4) Experience with multiparametric MRI analysis and/or radiology?pathology correlation analysis in prostate cancer is a plus; (5) Experience with clinical NLP applied to clinical or radiology text (e.g., report generation, entity extraction, or LLM fine-tuning) is a plus; (6) Familiarity with agentic AI frameworks, AI infrastructure, and deployment tools (e.g., high-throughput LLM inference frameworks vLLM) is a plus.

Interested candidates should send the following materials to Dr. Yan Zhuang (yan.zhuang@mssm.edu) with the subject line "Postdoc Research Fellow Application ? First Name Last Name": (1) a CV; (2) a brief statement of interests; (3) the earliest start date; (4) a list of three references. Informal inquiries are warmly welcomed before a formal application.

Compensation Statement

The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for the role is $72,500.00 - $80,000.00 Annually.Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

, 860 - Diagnostic, Molecular and Interventional Radiology - ISM, Icahn School of Medicine

The key responsibilities include: (1) design and develop multi-modal AI models for registration, detection, segmentation, and grading tasks using multi-parametric MRI and histopathology data for prostate cancer; (2) collaborate closely with radiologists and clinical specialists to formulate clinically relevant research questions and develop AI-driven solutions to improve prostate cancer patient care; (3) contribute to the preparation and submission of scientific manuscripts; (4) contribute to grant applications to federal or industry-sponsored research; (5) Help mentor graduate students on project-specific tasks.