Philip Resnik

Clinical Generative AI postdoctoral position at the University of Maryland School of Medicine in Baltimore, Maryland, focused on clinically relevant NLP , large language models , and conversational AI . The postdoctoral fellow will join a collaborative research program on clinical AI and work with clinicians, clinical researchers, informaticians, and health-system leaders on applied projects using real-world patient and clinical data. The role emphasizes building, evaluating, and implementing AI tools for real clinical and research use, with a strong focus on safety, reliability, bias, usability, and effectiveness rather than benchmark performance alone. Example research directions include patient-facing conversational agents, pre-visit history collection, preventive screening discussions, clinical documentation support, triage workflows, AI scribe evaluation, EHR-based NLP, and methods for evaluating LLM outputs in medicine. The position also offers flexibility for the fellow to develop self-initiated projects and a distinct scholarly agenda in clinical AI, LLM evaluation, patient-facing AI, or human–AI interaction in medicine. Eligibility: applicants should have a background in Computer Science , NLP , LLMs , or conversational AI . Interest in clinical AI, healthcare workflows, and applied research with patient data is important. Appointment: 12 months with an option to renew. Start date is May 15, 2026 or after , with the team aiming to fill the position by July 1, 2026 . Hybrid work arrangement may be possible. Contacts: Dr. Katherine Goodman ([email protected]) and Dr. Daniel Morgan ([email protected]).