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Postdoctoral fellowship for monitoring clinical impact of AI tools at UCSF

  • 1.  Postdoctoral fellowship for monitoring clinical impact of AI tools at UCSF

    Posted 09-20-2025 10:48

    Postdoctoral Fellow in monitoring clinical impact of AI tools

    This project aims to develop novel statistical and computational methods for monitoring changes in the clinical impact of AI-enabled devices, such as AI scribes and clinical risk prediction models. This opportunity will include unique access to AI scribe data! The key methodological challenge of this project is to think through how the AI's impact is mediated through the user of the AI device, and how human+AI interactions affect what we can (or cannot) monitor. This project is co-led by Drs. Jean Feng and Fan Xia from UCSF as well as the FDA's CDRH/OSEL/DIDSR team, and will be supported by the UCSF IMPACC group.

    Primary Responsibilities

    • Develop tools for monitoring AI-enabled medical devices, with rigorous statistical guarantees
    • Extract, process, and analyze multi-modal Electronic Health Record (EHR) data (e.g., clinical notes)
    • Design and implement open-source software packages and federated data pipelines
    • Collaborate closely with interdisciplinary team
    • Prepare and submit research manuscripts to ML/AI conferences, statistics journals, and/or clinical AI journals

    Qualifications

    The postdoctoral researcher position requires a PhD in statistics, biostatistics, computer science, data science, or a related field. We are looking for someone who:

    • Has strong experience in methodological development and independent research, with a strong publication record
    • Has a strong computational background and is comfortable processing large-scale, multi-modal datasets
    • (Preferably) Has methodological expertise in one or more of: causal inference, sequential monitoring, changepoint detection, ML/AI, natural language processing, federated learning, longitudinal data analysis

    Applying

    If you are interested in either position, please submit the following materials to jean.feng@ucsf.edu:

    • A cover letter
    • A CV summarizing your education and work experience so far
    • The names and email addresses of three references
    • A github repo of yours that you are most proud of
    • One representative publication

    Screening of applicants will begin immediately and will continue as needed throughout the recruitment period.



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    Jean Feng

    Associate Professor
    Department of Epidemiology and Biostatistics
    University of California, San Francisco
    https://www.jeanfeng.com/
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