Visiting Scientist
Core
Develop and deploy AI-enabled methods for cardiovascular magnetic resonance (CMR) imaging, focusing on reconstruction, segmentation, quantification, and diagnostic/prognostic modeling.
Role type
Senior IC machine-learning scientist (medical imaging)
Builds
Production AI pipelines for cardiac MRI and multi-modality diagnostic tools
Domain
Healthcare / Medical Imaging / Artificial Intelligence
Deliverable
production ML models
Required skills
Deep learning, computer vision, MRI data analysis, Python, PyTorch/TensorFlow, statistical analysis, grant writing, technical leadership
Preferred skills
Cardiac MRI expertise, MRI physics knowledge, generative models (diffusion/super-resolution), NIH-funded research experience, clinical translation experience
Technologies
Python, PyTorch, TensorFlow, HPC/GPU environments
Responsibilities
Develop deep learning models for MRI reconstruction and quantification; Design and optimize AI pipelines for image quality; Integrate AI with quantitative CMR biomarkers; Lead funded research projects and co-author manuscripts; Mentor trainees; Build scalable AI/MRI pipelines
Seniority
Senior, hands-on IC with scientific leadership