Staff Scientist I - Quantitative MRI & Generative AI for Cardiovascular Imaging

About the role

We are seeking a highly motivated Staff 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.

Responsibilities

• Research and develop 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
• 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)
• 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
• 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

Qualifications

• Holds a PhD in computer science, electrical engineering, or biomedical engineering and has a minimum of five years of research-based experience (including PhD thesis) in artificial intelligence, computer vision, or medical imaging in an academic or research environment.

Preferred Qualifications

• Experience in cardiac MRI
• Familiarity with MRI physics, image reconstruction, or quantitative imaging
• Experience with generative models (diffusion models, super-resolution, image synthesis)
• Prior involvement in NIH-funded research
• Interest in clinical translation and real-world deployment

Benefits

Access to a well-established research infrastructure, including a state-of-the-art 3T Siemens MRI system for advanced cardiovascular imaging and a dedicated high-performance computing environment with NVIDIA H200 GPU clusters to support large-scale deep learning model development, training, and evaluation.

Pay

$60,320.00 USD – $150,009.60 USD