Job Description
**Job Description Summary**
The ideal candidate is a PhD-trained AI scientist with 5–8+ years of post-PhD experience driving cutting-edge medical imaging and Physical AI research from conception to real-world clinical deployment. This individual operates as a technical authority and research leader, shaping AI strategy across imaging, embodied and physics-aware AI, foundation models, and multimodal healthcare systems, while mentoring senior scientists and influencing product and clinical roadmaps.
They bring deep expertise in learning from real-world data and physical signals, including sensor fusion, spatiotemporal modeling, simulation-to-real transfer, and constraint-aware or physics-informed machine learning as applied to imaging hardware, acquisition pipelines, and clinical workflows. The role requires a strong ability to bridge algorithmic innovation with physical systems, such as scanners, devices, or procedural environments, ensuring robust performance under real-world var...
The ideal candidate is a PhD-trained AI scientist with 5–8+ years of post-PhD experience driving cutting-edge medical imaging and Physical AI research from conception to real-world clinical deployment. This individual operates as a technical authority and research leader, shaping AI strategy across imaging, embodied and physics-aware AI, foundation models, and multimodal healthcare systems, while mentoring senior scientists and influencing product and clinical roadmaps.
They bring deep expertise in learning from real-world data and physical signals, including sensor fusion, spatiotemporal modeling, simulation-to-real transfer, and constraint-aware or physics-informed machine learning as applied to imaging hardware, acquisition pipelines, and clinical workflows. The role requires a strong ability to bridge algorithmic innovation with physical systems, such as scanners, devices, or procedural environments, ensuring robust performance under real-world var...