Postdoctoral Fellow
Monday 20th November 2023
Contact Email for the Job Posting akim46@mgh.harvard.edu
Organization Massachusetts General Hospital / Harvard Medical School
Location Boston, MA
Title Postdoctoral Fellow
URL https://qtim-lab.github.io/
Closing date Jul 31, 2024
Description 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.
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