Tina Hernandez-Boussard
Top university
4 months ago
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Postdoctoral Scholar in AI, Clinical Trials, and Digital Twins at Stanford Medicine Stanford University in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Available
Deadline
Expired
Country
United States
University
Stanford University
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Keywords
About this position
Stanford Medicine is hiring a Postdoctoral Scholar in AI, machine learning, clinical trials, digital twins, and biomedical informatics. The Boussard Lab develops AI methods that improve health, with research centered on digital twins and patient trajectories, clinical AI evaluation and safety, learning health systems, AI for mental health, and clinical trials and evidence generation.
The postdoctoral researcher will work with rich multimodal clinical data, including electronic health records, clinical notes, imaging, patient-reported outcomes, and population-level data. The lab aims to move beyond static prediction toward modeling how health evolves over time, how interventions change future outcomes, and how AI can be safely deployed in real healthcare settings. Research themes include synthetic control arms, patient recruitment, counterfactual evaluation, and trustworthy AI for clinical decision making.
This opportunity is based at Stanford University School of Medicine in the United States. The post is explicitly for recent PhD graduates. Competitive applicants should have a strong publication record in machine learning, AI, biomedical informatics, or a related field, and should be able to work independently and lead ambitious research projects.
Application materials requested: CV, research statement, cover letter, two representative publications, and three references. No deadline is stated in the post. Interested candidates should follow the linked application/contact route and reach out with the requested materials.
Funding details
Available
What's required
Recent PhD graduate only. Applicants should have a strong publication record in machine learning, AI, biomedical informatics, or a related field. The role requires the ability to work independently, lead ambitious research projects, and demonstrate a strong work ethic with interest in translating methodological innovation into real clinical impact.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.
Professors
Associate Dean of Research | Professor of Medicine | C-Suite & NIH Advisor | Board Director | Corporate Governance & Digital Health Strategy
United States
Research Interests
Biostatistics
Health Economics
Machine Learning In Healthcare
Diabetology
Machine Learning In Health
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.