Postdoctoral Research Fellow in Cardiovascular Imaging, Precision Health and Artificial Intelligence (MOSAIC study)
Core
Develop AI/ML models integrating genomic data and echocardiographic imaging to predict cardiovascular disease risk and progression.
Role type
Postdoctoral Research Fellow (AI/ML in Cardiovascular Imaging)
Builds
AI models linking phenotypic findings with genetic data for CVD risk prediction
Domain
Cardiovascular medicine, Genomics, Medical Imaging, Artificial Intelligence
Deliverable
production ML models
Required skills
Machine learning, Python, R, Genomic data analysis, Echocardiographic imaging analysis, Research project design, Grant writing, Manuscript preparation, Data governance
Preferred skills
LLavaMed, EchoPrime, DNABERT, Medical imaging datasets
Responsibilities
Develop AI models connecting echo findings with genomic data, Perform AI/ML analyses on echo images, Validate AI outputs, Design and execute original research projects, Co-supervise students and research assistants, Manage research operations and compliance
Seniority
Postdoctoral Fellow (early-career researcher)