DEVELOPING MULTIMODAL ANALYSIS DEEP LEARNING TO PREDICT TREATMENT TOXICITIES AND RESPONSE FOR PERSONALIZED TREATMENTS

Wednesday 22nd October 2025

Contact Email for the Job Positing veerarah@mskcc.org
Organization Memorial Sloan Kettering Cancer Center, New York, NY
Location New York, NY
Title DEVELOPING MULTIMODAL ANALYSIS DEEP LEARNING TO PREDICT TREATMENT TOXICITIES AND RESPONSE FOR PERSONALIZED TREATMENTS
URL https://www.mskcc.org/research-areas/labs/harini-veeraraghavan
Closing date Mar 31, 2026
Description An opening is now available for a postdoctoral researcher in the department of medical physics for individuals interested in developing deep learning methods to combine longitudinal information to predict treatment response and toxicities to identify patients likely to benefit from treatment adaption in patients with lung cancers. The two-year project involves enhancing existing and developing new methods to integrate multiple sources of information including clinical text, diagnostic CTs, and weekly cone beam CTs to derive biomarkers of treatment response and normal tissue toxicity. The current database exceeds over 2,000 patients, with several patients containing multiple follow up scans acquired during the course of radiation and systemic therapies.
The project will involve working with a multi-disciplinary team of computer scientists, radiation oncologists, medical physicists, and oncologists. 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 autosegmentation tools are routinely used for radiation treatment planning from 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 excellent strong 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
MSK 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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