Computer Science Research Fellow

Brigham and Women's Hospital; Boston (MA); On-site; USD 72,000 - 81,000; Full time

Job summary

Brigham and Women's Hospital in Boston seeks a PhD post-doctoral Fellow or PhD candidate with interest in machine learning and medical image processing to join our group. We work on deep learning and multi-modal modeling for brain imaging and radiology text summarization, funded by NIH and philanthropy.

Our team includes HMS, MBG, DFCI and NU collaborators; the role focuses on data handling, model development, and radiology-focused applications.

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.

Responsibilities

• Data acquisition, pre-processing and segmentation; plus NLP on medical text data.
• Implementation and extension of state-of-the-art deep learning models (Python).

Skills

Computer Vision / Medical Image

Deep Learning / AI

Education

PhD in Computer Science or Equivalent Discipline

Job description

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

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)

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

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.

Mass General Brigham Competency Framework

At Mass General Brigham, our competency framework defines what effective leadership "looks like" by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.