Charlestown, MA | MD/PHD/Fellows/ PostDocs

Research Fellow



The Candidate will work in the exciting and dynamic fields of deep learning (DL) and digital pathology, and report directly to Christopher Bridge and Albert Kim [Quantitative Translational Imaging in Medicine (QTIM) Lab ( at the Athinoula A. Martinos Center for Biomedical Imaging] and A. John Iafrate of the Department of Pathology.

The Candidate’s main focus will be to train DL algorithms as applied to digital pathology data in order to develop improved cancer biomarkers and study therapeutic resistance. The Candidate will conduct original research aligned with the laboratory’s research agenda but with significant scope for self-directed research. The main focus of this position will be on the application of deep learning to a large dataset of multiplexed immunofluorescence images from patients enrolled in a successful phase 2 clinical trial demonstrating checkpoint inhibitor efficacy in brain metastases of diverse histologies (Brastianos & Kim et al., Nature Medicine 2023). These results should produce biologically-relevant insights and address technical challenges including maximizing interpretability.

In this role, the Candidate will work in a highly collaborative environment with computer scientists, machine learning scientists, and physician-scientists at the Massachusetts General Hospital (MGH). There will be opportunities for technical innovation on these projects, as well as collaborations with physician-investigators (Priscilla Brastianos) from the MGH Cancer Center. The ideal candidate will have both expertise in state-of-the-art deep learning methodologies and experience of the specific challenges of applying them to medical imaging, as well as a strong track record of scientific publications. In our group, we have a history of publications in high-impact journals, and our alumni have a track record of independent faculty positions and impactful positions in industry.


· Conduct research projects in the area of medical image analysis with deep learning, with a primary focus on digital histopathology and multiplexed immunofluorescence.

· 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.


- PhD in a field related to medical image analysis, such as computer science, engineering, applied mathematics, or physics

- Excellent computing abilities including coding in Python, use of deep learning frameworks such as pytorch and tensorflow, and use of Linux-like computing environments.

- Well-developed organizational, analytical, and interpersonal skills.

- Ability to communicate complex technical ideas in verbal/written and written forms.

- Expertise in state-of-the-art deep learning

- Previous experience working in at least one area of medical image analysis.

- Well-developed organizational and analytical skills, excellent verbal/written communication and interpersonal skills are required.



Required: Doctoral Degree


  • - Experience working collaboratively on large scale research projects preferred.
  • - Experience overseeing the research work of others preferred.
  • - Previous experience working with digital pathology desirable.
  • - Track record of scientific publications in high-impact international journals and conferences.


The candidate's work will take place in the QTIM Lab's offices at the Charlestown Navy Yard campus of the Massachusetts General Hospital.

Applicants with relevant experience will be considered. Salem Hospital, a member of Mass General Brigham, is an affirmative action/equal opportunity employer. Minorities and women are strongly encouraged to apply. Pre-employment drug screening is required.

Katherine Melanson
Talent Acquisition Partner

Charlestown, MA
With NSPG, you’ll experience:

Career advancement

Grow, learn and develop new practice innovations.

Continue your medical education.

Make academic connections and explore teaching opportunities.

Explore leadership opportunities.

Develop clinical and administrative career ladders.

A supportive practice environment

Collaborative professionals.

Patient-centered care model.

Leadership that listens and values your contributions and ideas.

Autonomy and respect for your skills and expertise.

Excellent salary and benefits.

Clinical excellence

NSPG’s MHQP Patient Experience surveys show that we perform higher than the state mean in all domains with 92% of patients indicating that they would recommend NSPG services.

Our physicians are polling in the top 75th percentile of AMGA Satisfaction metrics for almost every major category—the highest physician satisfaction scores of any medical group in the Boston region.

25th percentile in MGMA cost benchmarks and top 75th percentile in revenue benchmarks.

The North Shore area offers an excellent quality of life:
  • Communities with varied and rich histories and convenient access to museums, art, restaurants and shops.
  • Natural beauty, handsome architecture and vivid history—only 15 miles north of Boston.
  • 30 miles of gorgeous rocky coastline with breathtaking beaches and harbors.
  • World-class sailing and close proximity to the mountains and picturesque New England.
  • Easy access to a multitude of universities, colleges, and public and private schools.
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