Stanford University School of Medicine
Postdoctoral Researcher
Stanford University School of Medicine, San Francisco, California, United States, 94199
Title
Assistant Professor, Baxter Faculty Scholar at Stanford University School of Medicine This is a full-time on-site role located in the San Francisco Bay Area for a Postdoctoral Researcher. The Postdoctoral Researcher's role has a strong focus on AI/ML methods and applying AI/ML approach in biomedical discovery. We particularly value experience on LLM Reasoning, Benchmarks and Agents, Biology Foundation Models (including physics-based method like MD), Physical AI (VLM, Robotics). Role Description S/he will be responsible for conducting research studies, collaborating with team members. Additional duties include mentoring junior scientists, presenting research findings at conferences, and contributing to the preparation of manuscripts and grant proposals. Qualifications AI/ML Research experience Knowledge in Data Analysis Excellent written and verbal communication skills Ability to work independently and collaboratively Ideally with Ph.D. in a relevant field such as Computer Science, Machine Learning, Computational Biology, Physics, or related disciplines Experience in academic research environments is a plus, but very open to other track.
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Assistant Professor, Baxter Faculty Scholar at Stanford University School of Medicine This is a full-time on-site role located in the San Francisco Bay Area for a Postdoctoral Researcher. The Postdoctoral Researcher's role has a strong focus on AI/ML methods and applying AI/ML approach in biomedical discovery. We particularly value experience on LLM Reasoning, Benchmarks and Agents, Biology Foundation Models (including physics-based method like MD), Physical AI (VLM, Robotics). Role Description S/he will be responsible for conducting research studies, collaborating with team members. Additional duties include mentoring junior scientists, presenting research findings at conferences, and contributing to the preparation of manuscripts and grant proposals. Qualifications AI/ML Research experience Knowledge in Data Analysis Excellent written and verbal communication skills Ability to work independently and collaboratively Ideally with Ph.D. in a relevant field such as Computer Science, Machine Learning, Computational Biology, Physics, or related disciplines Experience in academic research environments is a plus, but very open to other track.
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