Assistant, Associate, or Full Professor of Biomedical Data Science
Posted Updated 11
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Summary
This faculty position at Stanford University involves conducting research at the intersection of AI and biomedical science, including drug design, clinical care improvement, and the development of novel AI methods for health data.
- Advance biomedical discovery
- Apply AI to biomedical problems
- Apply AI to drug design and therapeutic development
- Build simulations and digital twins
- Build trustworthy reproducible explainable AI
- Conduct health data privacy and cybersecurity research
- Design human AI interaction methods
- Develop AI enabled biosensors
- Develop novel AI methods
- Evaluate AI in prospective trials
- Evaluate AI in real world settings
- Improve clinical care
- Integrate lab in the loop experimentation
- Perform biostatistical analysis multimodal data
- Use generative AI and synthetic data
