Department: College of Public Health
Classification: Research Staff 12-month
Job Category: Research Staff
Job Type: Full-Time
Work Schedule: Full-time (1.0 FTE, 40 hrs/wk)
Location: Fairfax, VA
Workplace Type: On Site Required
Sponsorship Eligibility: Not eligible for visa sponsorship
Salary: Salary commensurate with education and experience
Restricted: Yes
Criminal Background Check: Yes
About the Department:Injury remains a leading cause of morbidity, mortality, and legal system involvement. Yet the tools used to identify, document, and interpret injuries-particularly among historically marginalized populations-often fall short. The Injury Analytics Lab (IAL) was established to fill this critical gap by developing transformational technologies that integrate clinical, imaging, and contextual data to support more accurate, equitable, and evidence-based decision-making across healthcare and legal systems. Grounded in innovation and driven by social impact, IAL's mission and vision reflect a commitment to reshaping how injuries are understood, documented, and addressed-ultimately advancing systems that are more just, informed, and accessible.
About the Position:The Lab and Data Labeling Coordinator supports the Injury Analytics Lab (IAL) by assisting with daily research operations, coordinating project logistics, and contributing to the preparation and quality assurance of imaging datasets used in sponsored research. This role requires professional preparation, attention to detail, and the application of accepted principles and practices in research operations and data management. Work is performed under the supervision of faculty investigators and project leaders, with responsibilities appropriate to research technical staff.
Responsibilities:
Research Operations Support- Assists with day-to-day coordination of research activities to ensure compliance with project deliverables;
- Supports logistical planning for lab spaces, supplies, and scheduling;
- Maintains documentation and procedural updates under supervision of project leadership; and
- Serves as point of contact for routine communications among research teams, vendors, and collaborators.
Data Labeling and Quality Assurance- Carries out labeling and annotation tasks for imaging and digital datasets;
- Applies established data labeling standards and quality control protocols;
- Monitors progress and accuracy of labeling workflows, reporting findings to project leaders; and
- Supports integration of labeling results into secure data systems.
Staff and Student Coordination- Provides task-level guidance to graduate assistants, wage staff, and student researchers;
- Assists in onboarding and training sessions focused on workflow management and compliance; and
- Reviews deliverables and provides feedback under direction of faculty supervisors.
Participant Recruitment and Engagement- Supports recruitment strategies and outreach activities in collaboration with study coordinators;
- Assists with scheduling, tracking, and reporting of recruitment activities; and
- Compiles recruitment metrics for inclusion in project reports.
Communication and Reporting- Prepares operational summaries and progress updates for review by project leaders;
- Contributes to documentation supporting reports, presentations, and proposals; and
- Maintains organized records to support compliance and transparency.
Required Qualifications:- Bachelor's degree in health sciences, computer/data science, social sciences, or a closely related field; or equivalent combination of education and relevant professional experience;
- Experience managing day-to-day logistics such as scheduling, inventory, equipment, or procurement;
- Experience working with research data, including data entry, organization, or management;
- Experience providing training or guidance to students, interns, or entry-level staff;
- Knowledge of research compliance standards, including IRB, HIPAA, and human subjects' protections;
- Knowledge of laboratory operations, equipment management, and supply chain processes;
- Knowledge of basic data management principles, including secure storage and version contro