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 (https://qtim-lab.github.io) 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.
- 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
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.
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
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.
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25th percentile in MGMA cost benchmarks and top 75th percentile in revenue benchmarks.
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