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University of California, San Francisco – Postdoctoral Fellow
Company NameUniversity of California, San Francisco
Position TitlePostdoctoral Fellow
Company Information
This position is in the Department of Epidemiology and Biostatistics within the University of California, San Francisco (UCSF).
Duties and Responsibilities
We are looking for a postdoctoral fellow to join our project on developing novel statistical and computational methods to monitor generative AI-enabled devices, such as AI scribes. This project is a collaboration between the Feng lab, the FDA’s CDRH/OSEL/DIDSR team, and UCSF’s genAI monitoring group IMPACC.
Postdoc Responsibilities:
* Develop tools for monitoring genAI-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
* Collaborate closely with interdisciplinary team
* Prepare and submit research manuscripts to ML/AI conferences, statistics journals, and/or clinical AI journals
Position 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: sequential monitoring, changepoint detection, ML/AI, natural language processing
Salary RangeCompetitive
Benefits
https://postdocs.ucsf.edu/pay-and-benefits/plan
Position or Company Websitejeanfeng.com
Application Instructions
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