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- 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 plu
- Able to work in a collaborative team environment including MDs and PhDs
- Excellent communication skills
- Interest in academic manuscript authorship and grant writing
Research Fellow - Boston, United States - Mass General Physicians Organization(MGPO)
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Description
PhD Postdoctoral Machine Learning in Healthcare FellowWanted:
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).
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 microvasculature
Validation of a deep learning-based model to predict lung cancer-risk using chest radiographs and electronic medical record data
Deep learning to predict mortality after cardiothoracic surgery using preoperative chest radiograph
Recent media coverage:
Qualifications
EEO Statement
Massachusetts General Hospital is an Equal Opportunity Employer. By embracing diverse skills, perspectives and ideas, we choose to lead. Applications from protected veterans and individuals with disabilities are strongly encouraged.