Developing Longitudinal Deep Learning Methods for Adaptive Treatment of Head and Neck Cancers

Wednesday 22nd October 2025

Contact Email for the Job Positing veerarah@mskcc.org
Organization Memorial Sloan Kettering Cancer Center
Location New York, New York
Title Developing Longitudinal Deep Learning Methods for Adaptive Treatment of Head and Neck Cancers
URL https://www.mskcc.org/research-areas/labs/harini-veeraraghavan
Closing date Jan 31, 2026
Description An opening is now available for a postdoctoral researcher in the department of medical physics and radiation oncology for individuals interested in developing multi-modal deep learning longitudinal image analysis methods. The two-year project involves developing methods to predict treatment response in head and neck cancer patients by integrating multiple imaging modalities, magnetic resonance images (MRI), Fluoroxydehydrogenase and FMISO PET scans, as well as clinical text. This is a unique opportunity to work with a well-curated database consisting of a large number of high-quality longitudinal and multi-modal datasets of patients undergoing treatments radiation treatments.
The project is co-led by computer scientist Dr. Veeraraghavan and head and neck radiation oncologist Dr. Nancy Lee to develop AI models for predicting radiation treatment outcomes for personalized treatments. The project will also involve working with a multi-disciplinary team of MR physicists, nuclear medicine physicists, computer scientists, and clinicians. This is an excellent opportunity for a motivated researcher with a PhD in computer science, biomedical engineering, electrical engineering, medical physics or related fields, interested in developing novel AI solutions and work with a clinical team that translates advanced AI solutions for clinical care. Our team develops new AI methods for various problems involved in radiotherapy ranging from automated segmentation to treatment outcomes and toxicity prediction. Our MSK-AI auto-segmentation tools are routinely used for radiation treatment planning from the brain to pelvis. The project if successful will have the potential to individualize treatments for improving survival and quality of life outcomes for patients with cancer.
The candidate is expected to work in a multi-discplinary team and have a strong programming background (Python or similar) with familiarity using deep learning libraries (e.g. Pytorch/Keras). Prior experience with computer vision or medical image analysis is highly desirable. Excellent written and communication skills are essential for this position. Candidates are expected to summarize their findings by writing high quality papers targeting radiation oncology, medical image analysis, or similar journals and conferences.
MSK is a leading tertiary cancer center and was recently named one of Fast Company’s Best Workplaces for Innovators. 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, in partnership with radiologists, radiation oncologists, and other medical professionals. The Medical Physics department has a strong culture of research and development and clinical implementation. Research efforts include the development of cutting-edge AI methods for longitudinal tumor treatment response assessment, tumor and tissue segmentation, image reconstruction, MR fingerprinting, real-time motion tracking, and adaptive radiation therapy. Medical Physics clinical deployment team involves various disciplines including AI governance focused on rigorous AI model evaluation, commissioning and online quality assessments, combined with excellent computing infrastructure and software tools for development and deployment of new methods. We also support over 500 imaging instruments that include 40 CT scanners, 21 MR scanners, and 17 PET scanners and work with radiologists in the selection of new imaging equipment and the implementation of new imaging techniques.
Memorial Sloan Kettering Cancer Center is located on the Upper East Side of Manhattan, NY, and is recognized as a world leader in clinical cancer care and research. Salary will be commensurate with experience and the cost of living in New York City. Subsidized housing close to the MSK campus is available based on availability.
Interested candidates should send a resume and list of three references via e-mail to:
Harini Veeraraghavan, Ph.D.
Associate attending computer scientist
Director of AI for Image Guided Therapies,
Department of Medical Physics
Memorial Sloan Kettering Cancer Center
1275 York Ave.
New York, NY 10065
e-mail: veerarah at mskcc.org
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