Stanford University
Top university
Just Landed
2 days ago
Postdoctoral Position in Clinical AI, Generative Models, and Proactive Healthcare at Stanford University Stanford University in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full-time postdoctoral appointment with yearly renewal. The expected base pay is the Stanford University required minimum for postdoctoral scholars appointed through the Office of Postdoctoral Affairs: $79,056 for FY27. The position does not pay above the required minimum.
Country
United States
University
Stanford University
Apply for this position
Keywords
Suggested positions
University of California, Berkeley
United States
1 month ago
Ahmed M. Alaa is recruiting PhD students to join work across UC Berkeley and UCSF , spanning the Berkeley AI Research (BAIR) lab and the UCSF Health system . The research focus is AI for healthcare and rigorous evaluation of generative AI . This is a strong fit for students interested in machine learning, healthcare AI, model evaluation, and responsible deployment of AI in clinical or health-system settings. No funding details, deadline, or formal eligibility requirements are stated in the post....
1 month ago
University of Wisconsin-Madison School of Veterinary Medicine
United States
1 week ago
PhD and MS openings in Veterinary AI and Informatics at the University of Wisconsin–Madison School of Veterinary Medicine. David Brundage’s lab is recruiting students to work on artificial intelligence for veterinary medicine , including digital pathology , radiology , language models for clinical records , and One Health disease surveillance . The lab emphasizes AI for patients of every species and offers access to dedicated GPUs, large multi-species clinical data, and projects supported by lea...
1 week ago
Fred Hutch Cancer Center
United States
4 weeks ago
The Kuznets-Speck Lab at Fred Hutchinson Cancer Center is hiring a Postdoctoral Fellow to develop statistical and machine learning methods for omics and single-cell data . This is an interdisciplinary research opportunity in the Biostatistics Program at Fred Hutch, with strong mentorship and a hybrid work option mentioned in the post. The role is well suited to candidates interested in modern data science methods for biomedical research, especially in high-dimensional biological datasets. Resear...
4 weeks ago
Rollins School of Public Health
United States
1 month ago
PhD opportunity at SRM School of Public Health for research at the intersection of chronic disease epidemiology , non-communicable diseases (NCDs) , population health , risk prediction , machine learning , artificial intelligence , health data science , and digital health . The post invites motivated candidates for upcoming PhD admissions under the guidance of Prakash M . The research themes include chronic disease epidemiology, NCDs, large-scale health datasets, real-world health data, predicti...
1 month ago
Boston University
United States
3 weeks ago
Boston University / Boston Medical Center is advertising a postdoctoral fellow position on a collaborative project with the U.S. Department of Veterans Affairs (VITAL ARC). The project focuses on clinical AI for traumatic brain injury , combining electronic health record (EHR) data, neuroimaging, and trauma registry data to identify data-driven TBI subphenotypes and predict outcomes. The fellow will work at BU/BMC and also help replicate the methods in a parallel VA cohort built from the VA Corp...
3 weeks ago
About this position
Stanford University is offering a full-time postdoctoral position under the mentorship of Stelios Serghiou in the Department of Epidemiology and Population Health. The interdisciplinary group brings together clinicians, engineers, and epidemiologists to develop and rigorously evaluate clinical intelligence that can make healthcare more proactive, personalized, value-driven, and continuous.
The postdoctoral researcher will lead an independent line of inquiry within a clinical AI prevention program focused on reducing missed opportunities to prevent heart attacks and strokes. The project uses longitudinal medical records to create evidence-based systems that identify patient needs and support timely clinical action.
Research activities span curating and interpreting large-scale medical records, training and evaluating generative AI and language models, and building conversational agentic systems that can reason over patient records, call tools, and check their own work. The researcher will also help develop dynamic dashboards that show clinicians what matters and what information is missing, while working directly with clinical collaborators to define meaningful outcomes and evaluate systems on real decisions.
The role combines methodological development with real-world clinical evaluation. During the first year, the researcher is expected to establish data access and infrastructure, develop early prototypes, produce an end-to-end system and evaluation harness, conduct clinical evaluations, and communicate findings through first-author publications, presentations, and open code. As one of the lab’s early hires, the postdoctoral scholar will contribute to shaping the group’s research culture and future development.
The research environment emphasizes rigor, reproducibility, transparency, collaboration, and practical impact, with dedicated mentorship and opportunities to work at the intersection of machine learning, epidemiology, data science, and clinical care.
Funding details
Full-time postdoctoral appointment with yearly renewal. The expected base pay is the Stanford University required minimum for postdoctoral scholars appointed through the Office of Postdoctoral Affairs: $79,056 for FY27. The position does not pay above the required minimum.
What's required
Applicants should have a completed or nearly completed PhD in computer science, engineering, data science, statistics, epidemiology, or an equivalent field, along with a first-author publication. Required experience includes training and applying modern machine learning and language models; building deployed or publication-contributing agentic systems with robust, tested Python; creating reliable large-scale data pipelines using SQL, cloud computing, and reproducible versioned workflows; designing rigorous evaluations and interpreting results using statistics and study design; demonstrating transparent, reproducible work; and communicating clearly and collaborating effectively with clinicians. Experience with longitudinal health data in secure environments, OMOP, FHIR, Epic, clinical NLP, imputation, entrepreneurship, or an MD is desirable but not required. Applicants should also demonstrate kindness, intellectual humility, collaboration, urgency, and dedication.
How to apply
Email a CV, a statement describing your interest in the lab, and a brief description of your proudest first-author publication to Prof. Stelios Serghiou at [email protected]. Applications are reviewed as they arrive.
ApplyKite TwinLearns as you applyMake your next move.
Prepare your application
Review drafts and confirm requirements with the university.
ApplyKite TwinLearns as you applyMake your next move.
Prepare your application
Review drafts and confirm requirements with the university.