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Mass General Brigham's Brigham and Women's Hospital seeks a PhD post-doctoral Fellow or PhD candidate in machine learning and medical image processing. The project targets deep learning and multi-modal modeling for brain CTA imaging and radiologist support, leveraging NIH and philanthropic funding.
The group includes faculty from HMS and MBG among others, working on data-intensive imaging and text summarization in the medical record. Collaboration across institutions is central to the role.
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We are looking for a PhD post-doctoral Fellow, or PhD candidate with background and interest in machine learning generally and medical image processing specifically to join our group. We are currently funded by NIH & Philanthropic funding to work on applications of deep learning and conventional image analysis techniques to medical images and text (i.e., multi-modal learning). The clinical focus of our current projects are (1) to assist radiologists in detection and classification of vascular abnormalities on brain CT angiography (CTA) images acquired at MGB-BWH, and (2) to assist radiologists in reducing error during interpretation of brain CT and MRI through large language model summarization of text in the medical record.
We are a multi-institutional research team composed of faculty from Harvard Medical School (HMS) (GY, JK, LQ), Mass General Brigham (MBG) Brigham and Women's Hospital (BWH) (GY, JK), Dana Farber Cancer Institute (DFCI) (GY, LQ, JK), and the Khoury College of Computer Sciences at Northeastern University (NU) (BW, HJ).
The candidate will work closely with professors Geoffrey Young MD (Neuroradiology), Jisoo Kim MD (Neuroradiology), Lei Qin PhD (Medical Physics and Image Processing), Byron Wallace PhD (Computer Science and NLP AI) and Huaizu Jiang PhD (Computer Science and Computer Vision AI) on machine learning, medical image processing and multi-modal modeling. The work will include data acquisition, pre-processing and segmentation, as well as using natural language processing on medical text data. This will include implementation and extension of current state-of-the-art deep learning models (typically in Python). Experience with "conventional" image processing techniques (especially as used in radiological imaging) a plus, but not required.
The compensation range for this role is between $71,750 - $81,179.
Candidate experience is thoughtfully considered throughout the recruitment process, and those with significant experience may be considered for compensation above the starting range listed, as consistent with organizational guidelines and internal equity
Years of experience 0 $71,750 - $73,544
Years of experience 1 $73,544 - $75,382
Years of experience 2 $75,382 - $77,267
Years of experience 3 $77,267 - $79,199
Years of experience 4+ $79,199 - $81,179
Remote Type Onsite Work Location 15 Francis Street
EEO Statement: 2200 The Brigham and Women's Hospital, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran’s Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.
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