University of California, San Francisco – Postdoctoral Fellow Company Name University of California, San Francisco Position Title Postdoctoral 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. 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 #J-18808-Ljbffr
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