Cardiovascular Imaging Research Center Fellowship
Contact Information
Cardiovascular Imaging Research Center
Department of Radiology
Massachusetts General Hospital
165 Cambridge Street, Suite 400
Boston,
MA
02114
Email: circmgh@partners.org
Vineet Raghu, Principal Investigator
Email: vraghu@mgh.harvard.edu
Phone: 617-726-0287
Fax: 617-724-4152
Yuji Liao, Sr. Administrative Manager
Email: yliao4@mgb.org
Phone: 617-726-5954
Explore This Fellowship
Overview
PhD Postdoctoral Machine Learning in Healthcare Fellow
Outstanding PhD for postdoctoral machine learning fellowship at the Cardiovascular Imaging Research Center at Massachusetts General Hospital and Harvard Medical School.
The fellow will lead deep learning projects to predict cardiovascular health outcomes (heart attack, stroke) from routine medical imaging (retinal fundoscopy, chest/coronary computed tomography). We then aim to use multi-omics data and interpretability techniques to understand what biological processes these models are capturing. This will be accomplished in high quality datasets of tens of thousands of individuals with imaging, genomics, and adjudicated outcomes (Framingham Heart Study (Hoffmann U et al. JAMA Cardiology 2017); Jackson Heart Study (Sempos et al Am J Med Sci 1999); The Mass General Brigham Biobank (Boutin et al. 2022 J Pers Med); the National Lung Screening Trial (NEJM 2011); and the UK Biobank (Sudlow et al. 2015 PLoS Medicine).
The program is well funded with a track record of academic productivity and grant funding for fellows. Our research has been featured on CNN Health, Fox News, and various medical news outlets.
Representative publications:
Deep learning of the retina enables phenome and genome-wide analyses of the microvasculatureDeep learning to predict mortality after cardiothoracic surgery using preoperative chest radiographs
Recent media coverage:
https://www.cnn.com/2022/11/29/health/heart-attack-stroke-x-ray/index.html
Job Experience
- PhD in computer science, computational biology, or related quantitative field
- Experience in python programming and deep learning frameworks (PyTorch and/or TensorFlow)
- Background in medical imaging or computer vision is a plus
- Background in genomics, especially GWAS studies, is a plus
- Able to work in a collaborative team environment including MDs and PhDs
- Excellent communication skills
- Interest in academic manuscript authorship and grant writing
How to Apply
Interested candidates should send a copy of their CV, a personal statement, and three letters of reference to Yuji Liao, Sr. Administrative Manager, and Vineet Raghu, Principal Investigator.
Global Health Programs
These programs are dedicated to addressing unmet medical imaging needs and healthcare disparities for vulnerable and crisis-affected populations.
Women in Radiology
About 30% of our attending radiologists and our trainees are women, which is higher than the national averages in the US.