This is a full-time position for one year, extension is possible. The scholar will engage in research projects related to developing or applying a range of machine learning (ML) models, including large language models (LLMs), and leverage the real-world big electronic health records (EHR) data harmonized across the University of California (UC) health systems. At UC San Francisco (UCSF) alone, real-world clinical data is linked across structured data and unstructured clinical texts and images, as well as genomics data for researchers and scientists to answer important research questions and develop impactful solutions. Projects the scholar will be involved include developing AI-driven approaches to improve cancer, women’s health and health disparity, optimizing personalized treatments for cardiometabolic diseases, developing multi-modal and multi-omics approaches for systems pharmacology, and investigating how AI/ML models can be used to promote health equity.