Research

Build, deploy, and study real tools that change care. The University of Virginia offers a one‑ or two‑year research fellowship designed for physicians who want to move beyond prototypes and put digital health and artificial intelligence into practice. Fellows join a tightly connected campus where the School of Medicine, School of Engineering, School of Data Science, Department of Public Health Sciences, School of Nursing, and Darden School of Business are all within walking distance. This proximity—paired with mature data and engineering pipelines for rapid development and deployment—lets you turn ideas into products to improve patient care in the Emergency Department.

• Rapid “idea‑to‑clinic” pipelines. Fast Healthcare Interoperability Resources–native ingestion; reproducible extraction–transform–load to the research warehouse; model training and evaluation environments; pathways for real‑time inference and deployment; monitoring for performance, safety, and equity; and clear rollback plans. You will use these pipelines—not build them from scratch—so you can focus on solving problems.
• Artificial intelligence embedded in every phase. From study selection and protocol design to data capture and curation, to bedside applications and post‑deployment learning, artificial intelligence is integrated throughout the research lifecycle rather than treated as a separate workstream.
• A walkable, interdisciplinary studio. Daily collaboration with data scientists, engineers, statisticians, clinicians, designers, ethicists, and business partners—because everyone is on the same Grounds. Cross‑appointments and joint centers make true team science the default.
• Real clinical testbeds. The Emergency Department serves as a living laboratory for wearables, clinician‑facing applications, predictive tools for diagnosis and management, and operations optimization (for example, digital‑twin modeling).

• Wearables and continuous monitoring. Integrate and evaluate physiologic sensors (for example, continuous blood pressure, rhythm and activity streams) and design pragmatic studies that connect sensor data to outcomes.
• Create clinician‑ and patient‑facing tools that read and write standards‑based data; design validation and quality‑assurance harnesses; and enable safe clinical integration.
• Diagnostic and management support. Develop and study predictive and large‑language‑model–assisted tools for triage, diagnosis, and care management with bedside workflows.
• Run‑time performance and equity dashboards.Build operational views for drift, burden, and subgroup performance with predefined thresholds and rollback criteria.
• Operations and digital twins.Contribute to modeling and simulation that improve patient flow, staffing, and resource allocation.

• End‑to‑end productization of research (design → build → deploy → monitor → improve).
• Data engineering with healthcare standards and research‑grade curation.
• Human‑centered design for clinician and patient tools; change management in clinical environments.
• Prospective evaluation and real‑world evidence generation for digital health.
• Leadership and funding readiness: grant strategy, collaboration across schools, and communication with clinical and executive stakeholders.

• One‑ or two‑year track with approximately 16 clinical hours per week as an attending physician; the remainder is protected for research, building, and scholarship.
• Co‑mentorship that spans Emergency Medicine, Public Health Sciences, Data Science, Statistics, Engineering, Nursing, Business, and ethics.
• Degree options (two‑year track). Opportunity to apply for a graduate degree through Public Health Sciences, Data Science or Statistics, or the Darden School of Business, subject to program admission and institutional policies.
• Charlottesville, Virginia—an innovative university town with a collaborative academic medical center.
• Start date: July 1, 2026 (flexible).

• Completion of an Emergency Medicine residency and board‑eligible or board‑certified status by the American Board of Emergency Medicine by the start date.
• Curiosity about digital health and artificial intelligence; experience with clinical research or data‑driven projects.
• Programming or data skills (for example, Python, R, Structured Query Language, healthcare data standards) are helpful but not required.

Send one PDF file containing your curriculum vitae and cover letter, plus two to three references (names and contact information) to:

R. Andrew Taylor, MD, MHS — Fellowship Director
Email: kqc5mk@uvahealth.org

Hope Duncan — Program Coordinator
Email: KCX2EV@uvahealth.org

Email subject line: “University of Virginia Emergency Medicine Research Fellowship — Digital Health and Artificial Intelligence”.

Applications are reviewed on a rolling basis until the position is filled; early applications are encouraged.