Faculty AI Scientist (Scientist II)

Core Requirements

• A PhD or equivalent advanced degree in computer science, machine learning, biomedical engineering, data science, statistics, or a related field. 
• Strong expertise in modern AI and machine learning methods, with hands-on experience developing state-of-the-art models. 
• Strong programming skills, especially in Python, and experience with modern ML frameworks and compute environments. 
• Demonstrated success in research, including peer-reviewed publications and/or impactful applied AI work, as well as a track record of peer-reviewed funding. 
• Ability to work effectively in interdisciplinary teams and communicate complex ideas clearly to both technical and clinical audiences. 
• Previous work in cardiovascular medicine, biomedical data science, or healthcare AI preferred.
• Multimodal data fusion, medical imaging, time-series analysis, NLP, or foundation model development preferred.
• Real-world deployment of AI in healthcare settings preferred.
• AI safety, explainability, fairness, governance, and model monitoring preferred.