"Postdoctoral Associate in Human Factors & Systems Thinking for Healthcare Quality"

Job Description

This postdoctoral associate position offers mentored research training in human factors, systems engineering, and health systems science. The fellowship provides an opportunity to advance a growing interdisciplinary program focused on understanding and improving the socio-technical systems that shape healthcare quality, safety, and diagnostic performance.

The postdoc will work closely with Dr. Monifa Vaughn-Cooke, Principal Investigator and Associate Professor in the Department of Health Systems and Implementation Science at Virginia Tech Carilion School of Medicine, on the project "Systems Contributory Factors in Healthcare."

This position is partially supported by the Virginia Tech Destination Area "Smart Healthcare Hub" (https://smarthealthcare.icat.vt.edu/), which is part of the university's Health Sciences and Technology Destination Area. The Smart Healthcare Hub brings together researchers, clinicians, and engineers to create intelligent, adaptive, and equitable healthcare systems. It supports projects that integrate human factors, artificial intelligence, data analytics, and behavioral science to improve health outcomes and system performance.

This project examines how structural, organizational, technological, and behavioral factors interact across healthcare settings to influence work processes, care coordination, and patient outcomes. Drawing on human factors and cognitive systems engineering principles, the project integrates multiple data sources (including EHR data, administrative records, surveys, interviews, and direct observations) to develop models of system performance and identify leverage points for system redesign.

Required Qualifications

Ph.D. or equivalent doctorate in human factors engineering, systems engineering, industrial engineering, cognitive psychology, health services research, or a related discipline. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining.
Demonstrated experience with applied human factors research in healthcare or other complex systems.
Strong analytical and writing skills, with a record of peer-reviewed publications.

Preferred Qualifications

Experience with mixed-methods research, EHR data analysis, cognitive task modeling, socio-technical systems design, or multivariate modeling to characterize interactions among clinical, behavioral, and organizational factors.
Proven ability to work effectively as part of interdisciplinary teams and to provide supervisory mentorship to junior researchers or trainees in collaborative, multi-institutional projects.

Pay Band

Faculty

Overtime Status

Exempt: Not eligible for overtime

Appointment Type

Restricted

Salary Information

Commensurate with experience

Hours per week

40

Review Date

02/13/2026

Additional Information

The successful candidate will be required to have a criminal conviction check.