Staff Scientist I - Quantitative MRI & Generative AI for Cardiovascular Imaging
Tasks
- Build and maintain scalable AI MRI pipelines in Python
- Collaborate on data harmonization curation and governance
- Contribute to study design statistical analysis plans imaging endpoints
- Design and evaluate AI pipelines for image reconstruction and segmentation
- Develop methods for multi modality data integration
- Develop user friendly software platforms for clinical deployment
- Integrate AI methods with quantitative CMR imaging biomarkers
- Lead or co author manuscripts abstracts and grant submissions
- Mentor trainees PhD students postdocs research staff
- Partner with cardiologists radiologists MR physicists and industry collaborators
- Perform model validation reproducibility testing bias assessment external validation
- Present research at national and international meetings
- Research and develop deep learning models for MRI reconstruction
- Serve as technical lead on funded research projects
- Support clinical feasibility and regulatory readiness translation of AI tools
- Train and evaluate models using HPC and GPU environments
Perks/Benefits
- N/A
Skills/Tech-stack
Adversarial Networks | Artificial Intelligence | Bias Assessment | Computer Vision | Data harmonization | Data integration | Deep learning | Diffusion Models | ECG | External Validation | GPU Computing | Generative Adversarial Networks | HPC | Image Quantification | Image Segmentation | Image enhancement | MRI reconstruction | Machine Learning | Magnetic Resonance | Magnetic resonance imaging | Medical Data | Medical Imaging | Medical data integration | PyTorch | Python | Reproducibility Testing | TensorFlow | Transformers
Education
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