Position Summary
We are seeking a highly motivated Scientist with expertise in artificial intelligence (AI), machine learning, and magnetic resonance imaging (MRI) to support and advance cutting-edge translational research in cardiovascular imaging. The successful candidate will play a central role in the development, validation, and deployment of AI-enabled methods, with emphasis on cardiac MRI (CMR), quantitative imaging, and diagnostic and prognostic applications.

This position is ideal for a PhD scientist who enjoys hands-on technical development, close collaboration with clinicians, engineers, and industry partners, and contributing to NIH-funded, multi-center research programs, including active collaborations with Siemens Healthineers, with clear pathways toward clinical translation and impact.
Key Responsibilities
AI & Imaging Research
• Develop and implement deep learning models for MRI reconstruction, segmentation, quantification, and image enhancement
• Design, optimize, and evaluate AI pipelines to improve image acquisition efficiency, image quality, and robustness
• Integrate AI methods with quantitative CMR imaging biomarkers, including myocardial blood flow, strain, and tissue characterization
• Develop and apply methods for multi-modality data integration, combining imaging, physiologic signals (e.g., ECG), genetic, and clinical data for diagnostic and prognostic modeling
• Perform rigorous model validation, including reproducibility testing, bias assessment, and external validation
• Design, develop, and implement user-friendly software platforms for clinical deployment of AI-enabled imaging tools
Scientific Leadership
• Serve as a technical lead on funded research projects (NIH R01s, industry collaborations)
• Contribute to study design, statistical analysis plans, and imaging endpoints
• Lead or co-author high-impact manuscripts, abstracts, and grant submissions
• Mentor trainees (PhD students, postdocs, research staff)
Data & Infrastructure
• Build and maintain scalable AI/MRI pipelines (Python, PyTorch/TensorFlow, etc.)
• Work with large-scale imaging datasets and HPC/GPU environments (H200s GPUs)
• Collaborate on data harmonization, curation, and governance across multi-site studies
Translational & Collaborative Work
• Partner closely with cardiologists, radiologists, MR physicists, and industry collaborators
• Support translation of AI tools toward clinical feasibility and regulatory readiness
• Present work at national and international scientific meetings
Required Qualifications
• PhD in Biomedical Engineering, Computer Science, Electrical Engineering, Medical Physics, or related field
• Strong background in machine learning / deep learning / computer vision
• Demonstrated experience with MRI or medical imaging data
• Proficiency in Python and modern ML frameworks (e.g., PyTorch, TensorFlow)
• Track record of peer-reviewed publications in imaging or AI-related fields
Preferred Qualifications
• Experience in cardiac MRI
• Familiarity with MRI physics, image reconstruction, or quantitative perfusion/flow
• Experience with generative models (diffusion models, super-resolution, image synthesis)
• Prior involvement in NIH-funded research or multi-center studies
• Interest in clinical translation and real-world deployment

Job Description:
A Visiting Scientist collaborate swith other researchers in their particular field of science.

Pay Range:
$155,002.00 USD - $184,995.00 USD

The pay range listed for this position is the annual base salary range the organization reasonably and in good faith expects to pay for this position at this time. Actual compensation is determined based on several factors, that may include seniority, education, training, relevant experience, relevant certifications, geography of work location, job responsibilities, or other applicable factors permissible by law.