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Jason Fries

Top university

9 months ago

Postdoctoral Positions in Healthcare AI, Multimodal Foundation Models, and Biomedical Data Science at Stanford University Stanford University in United States

Degree Level

Postdoc

Field of study

Oncology

Funding

The position offers a competitive salary and benefits, with visa sponsorship available. Large-scale GPU access and massive longitudinal datasets are provided. No specific stipend amount or tuition coverage is mentioned.

Deadline

Oct 1, 2026

Country flag

Country

United States

University

Stanford University

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Keywords

Oncology
Computer Science
Machine Learning
Biomedical Engineering
Precision Medicine
Medical Science
Clinical Reasoning
Pediatric

About this position

The Fries Lab at Stanford University, led by Assistant Professor Jason Fries, is recruiting multiple postdoctoral scholars to advance research in healthcare AI, multimodal foundation models, and biomedical data science. The lab focuses on developing and evaluating healthcare foundation models that learn from longitudinal electronic health records (EHRs), clinical text, and multimodal data. Key research themes include multimodal and longitudinal foundation models, benchmarking and evaluation for healthcare AI, multimodal medical reasoning, patient representation learning, data-centric AI, synthetic data generation, and human-AI teaming. Application areas span oncology, precision medicine, and pediatrics.

Applicants should have a PhD in a machine learning-related field such as computer science, data science, or informatics, with a strong research background and publications in top ML or medical AI venues. Interest in real-world clinical data and enthusiasm for mentorship and collaboration with students and clinicians are essential. The position offers a competitive salary and benefits, visa sponsorship, access to large-scale GPUs (B200, H100, A100, L40S), and massive longitudinal datasets (~4 million patients, including notes and imaging).

To apply, candidates should email their application materials to [email protected] with the subject line 'Postdoc Application 2026 – Fries Lab.' Required materials include a research statement (up to 3 pages), CV, and 3 references. The start date is flexible for Summer–Fall 2026, and applications are reviewed on a rolling basis. The position is based in Palo Alto, California.

For more information, visit the Fries Lab academic page or contact Professor Jason Fries directly.

Funding details

The position offers a competitive salary and benefits, with visa sponsorship available. Large-scale GPU access and massive longitudinal datasets are provided. No specific stipend amount or tuition coverage is mentioned.

What's required

Applicants must hold a PhD in a machine learning-related field such as computer science, data science, or informatics. A strong research background in machine learning with publications in top ML or medical AI venues is required. Candidates should have an interest in real-world clinical data, enthusiasm for mentorship, and collaboration with students and clinicians. No specific GPA or language test requirements are mentioned.

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Professors

Assistant Professor of Biomedical Data Science and of Medicine

University Name
Country flag

United States

Research Interests

Computer Science

Pediatric

Machine Learning

Clinical Reasoning

Biomedical Engineering