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Tina Hernandez-Boussard

Top university

4 months ago

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 flag

Country

United States

University

Stanford University

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Keywords

Computer Science
Machine Learning
Biomedical Engineering
Artificial Intelligence
Medical Science
Salud Pública
Statistics
Patient Recruitment
Digital Twins

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.

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Professors

Associate Dean of Research | Professor of Medicine | C-Suite & NIH Advisor | Board Director | Corporate Governance & Digital Health Strategy

University Name
Country flag

United States

Research Interests

Biostatistics

Health Economics

Machine Learning In Healthcare

Diabetology

Machine Learning In Health