Computer Science Research Fellow

About the role

Site: The Brigham and Women's Hospital, Inc.

Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.

Job Summary

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.

Our Group: 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).

Qualifications

Important – Application Instructions

• This is a courtesy posting. Please do not submit your application through the Workday "Apply" button.
• To be considered for this position, email your CV and cover letter describing your research interests and goals, a full list of publications to the hiring manager Kizzy Scott at
• Applications submitted only through Workday will not be forwarded to the hiring manager and may not be reviewed.

Key Responsibilities

Specific

Duties

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.

Qualifications

• Experience with Computer Vision and/or Medical Image Processing
• Experience with deep learning/AI models is a plus.
• PhD in Computer Science or Equivalent Discipline preferred.

Additional Job Details (if applicable)

Pay and benefits

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
• 1     $73,544 - $75,382
• 2      $75,382 - $77,267
• 3     $77,267 - $79,199
• 4+     $79,199 - $81,179
• Remote Type
• Onsite
• Work Location
• 15 Francis Street