Postdoctoral Research Fellow in Medical Image Analysis with Machine Learning

Friday 20th January 2023

Organization Memorial Sloan Kettering Cancer Center
Location New York
Title Postdoctoral Research Fellow in Medical Image Analysis with Machine Learning
Email Address
Closing Date: Open until filled.
Description: At the department of surgery (HPB services), Memorial Sloan Kettering Cancer Center (MSK), New York we are looking for a highly motivated post-doctoral researcher with interest and expertise in computational imaging, quantitative image analysis, artificial intelligence, and machine learning in precision medicine for abdominal cancers.

MSK has been named a top hospital for cancer by U.S. News & World Report. At MSK, we’re not only changing the way we treat cancer, but also the way the world thinks about it. The blending of research with patient care is at the heart of everything MSK does. By working together and pushing forward with innovation and discovery, MSK is driving excellence and improving outcomes. As part of the Tri-Institutes (MSK, Weill Cornell Medical College and Rockefeller University), MSK researchers and students enjoy a collaborative, enriching environment and a host of educational and training resources.

Our group aims to perform cutting edge research to provide better care for patients with hepatopancreatobiliary cancers, particularly for pancreatic and liver cancers. We focus on the identification of biomarkers for early detection, diagnosis, prognostication as well as prediction of survival and response to a therapy towards personalized treatment stratification for patients. Our research works are regularly published in top journals. Upon joining the individual will be encouraged for his/her independent carrier pathway.
The ideal candidate should hold a PhD degree in Biomedical/ Electrical/ Electronics/ Computer Engineering or relevant field with prior research experience in medical image analysis of different imaging modalities using classical machine learning as well as deep learning with strong programming skills in MATLAB, Python, R, etc. A good publication record is essential. The candidate should have good communication skills as he/she needs to collaborate with researchers from different backgrounds ---clinicians, surgeons, radiologists, statisticians, pathologists, biologists, etc.

Please submit curriculum vitae, a cover letter, and name and contact details of three referees to
Contact Person: Jayasree Chakraborty, PhD
E-mail chakrabj [at] and jayasree [at]