Postdoctoral Fellow, Biomedical Data Science & AI (LLM Agentic Systems)

The laboratories of Dr. Peifeng Ruan ( and Dr. Wenqi Shi ( at the Quantitative Biomedical Research Center (QBRC), Peter O'Donnell Jr. School of Public Health, UT Southwestern Medical Center, are seeking a motivated Postdoctoral Fellow in Biomedical Data Science and AI. Our team develops LLM-based agentic systems to address real-world challenges in biomedical research and clinical practice — including AI methods that support faster, more standardized, and more trustworthy review of clinical study designs. You will help develop and validate these systems, working alongside a multidisciplinary team spanning biostatistics, AI/LLM, clinical trial design, and software engineering, with opportunities to collaborate with clinical investigators and industry partners. What you'll do Develop and implement LLM-based agentic systems, including grounded retrieval (RAG), structured generation, and governance/guardrail layers that keep outputs traceable and trustworthy Build and evaluate AI methods against real-world biomedical and clinical data Curate and analyze large-scale biomedical and clinical datasets Benchmark system performance, interpret results, and co-author manuscripts and software releases Qualifications Ph.D. (completed or near completion) in computer science, bioinformatics, data science, machine learning, or a related quantitative field Strong programming skills and a track record of rigorous, independent research Strong problem-solving ability and motivation to work at the intersection of AI and biomedicine Desirable experience (one or more) Large language models and agentic / multi-agent frameworks Retrieval-augmented generation, structured output, or LLM evaluation Clinical trial design, biostatistics, or real-world clinical data Knowledge graphs; software engineering for deployable applications How to apply Send a CV and a list of three references to: Peifeng Ruan — View email address on click.appcast.io #J-18808-Ljbffr UT Southwestern Medical Center