Post-doctoral fellow position deep learning for cancer image reconstruction and analysis

Friday 25th July 2025

Contact Email for the Job Positing cbridge@mgh.harvard.edu
Organization Massachusetts General Hospital
Location Boston, MA, USA
Title Post-doctoral fellow position deep learning for cancer image reconstruction and analysis
URL https://qtim-lab.github.io/
Closing date Nov 01, 2025
Description The Quantitative Translational Imaging in Medicine (QTIM) Lab (https://qtim-lab.github.io) at the Athinoula A. Martinos Center for Biomedical Imaging (https://www.martinos.org) is a collaborative and interdisciplinary, Harvard Medical School-affiliated group of physicians and engineers/computer scientists working at the forefront of the application of machine learning and artificial intelligence to medical images. As part of the Massachusetts General Hospital, we are well situated to access the collaborations and data we need to address challenges related to the direct use of AI in medicine to improve patient care.
We are seeking a post-doctoral research fellow to work on the application of deep learning to medical image analysis. Mentored by faculty members Christopher Bridge, DPhil, Bin Deng, PhD, and Albert Kim, MD, you will conduct original research aligned with the laboratory’s research agenda.
The focus of this position will be on the application of deep learning to breast cancer imaging, spanning imaging domains and applications. You will support two funded projects:
- Deep learning-based reconstruction of diffuse optical tomography (DOT) images from raw sensor data. Through this project we aim to increase both the efficiency and quality of DOT reconstructions, bringing this promising functional imaging modality for breast cancer detection closer to clinical translation
- Multi-modal deep learning to enable precision medicine for breast cancer. In this project, we will work with radiology imaging modalities (mammography, digital breast tomosynthesis), histopathology whole slide images, and clinical data to predict cancer subtypes and predict response to therapies
In this role, you will work alongside computer scientists, medical physicists, and physician-scientists at the Massachusetts General Hospital (MGH) in Boston, Massachusetts, USA. We are dedicated to providing a supportive and flexible working environment for our team, and mentorship at all levels of career development.
The primary responsibilities of this position will be:
- Conduct research projects in the area of medical image analysis with deep learning, with a primary focus on breast cancer imaging.
- Assist graduate students, medical students and interns in their research projects.
- Prepare articles and abstracts for high impact scientific journals and conferences.
- Propose and execute novel research projects, in preparation for developing an independent research agenda within the field of medical image analysis.
- Assist with the preparation of applications for research grants.
You must have:
- A PhD in a field related to medical image analysis, such as computer science, engineering, applied mathematics, or physics.
- Expertise in state-of-the-art deep learning.
- Proficiency in programming with Python and the Pytorch deep learning framework
- Previous experience working in at least one area of image analysis.
- The right to work in the USA or eligibility for a US visa
For enquiries, please contact:
Dr Christopher Bridge: cbridge@mgh.harvard.edu
Dr Bin Deng: bin.deng@mgh.harvard.edu
Dr Albert Kim: akim46@mgh.harvard.edu