Lab and Data Labeling Coordinator

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 control;
• Skilled in organizing and coordinating complex workflows, including scheduling, logistics, and documentation;
• Quality assurance, with ability to review and assess accuracy of labeled datasets;
• Strong written and verbal communication skills for cross-team coordination and reporting;
• Proficiency with Microsoft Office/Teams and basic data platforms (e.g., Excel, REDCap);
• Ability to manage multiple tasks and priorities in a fast-paced research environment;
• Ability to ensure compliance with institutional and regulatory policies;
• Ability to work collaboratively with interdisciplinary teams, including faculty, staff, and external partners;
• Ability to maintain high attention to detail while managing repetitive tasks (e.g., dataset QA);
• Demonstrated reliability, accountability, and discretion when handling sensitive data;
• Commitment to research integrity, equity, and the mission of improving community health outcomes;
• CITI Human Subjects Research Certification (must be obtained prior to or shortly after hire; standard for all human subjects research staff); and
• HIPAA/PHI Compliance Training (must be obtained prior to or shortly after hire).

Preferred Qualifications:

• Master’s degree in a related field (e.g., public health, nursing, computer science, data science);
• Certified Clinical Research Coordinator (CCRC) or similar research management certification (e.g., ACRP, SOCRA);
• Data Management or Cloud Certification (e.g., REDCap Administrator, AWS/GCP/Azure Fundamentals, or equivalent exposure);
• Quality Assurance/Quality Control Training relevant to research data handling;
• First Aid/CPR Certification (if the role includes participant-facing activities);
• Experience supervising student employees or wage staff in an academic or research setting;
• Demonstrated experience managing diverse teams of students or staff;
• Experience with data labeling, annotation, or coding for research or AI/ML projects;
• Experience supporting participant recruitment or research subject coordination;
• Experience with research data systems (e.g., REDCap, SAMBA servers, or annotation platforms);
• Experience contributing to dissemination efforts such as reports, conference presentations, or publications;
• Knowledge of data labeling/annotation practices for AI and machine learning applications;
• Knowledge of forensic nursing, health equity, or technology-enabled injury detection research;
• Familiarity with REDCap, labeling platforms, or similar research data systems;
• Familiarity with IRB submissions, HIPAA/PHI requirements, and research compliance procedures;
• Skilled in compiling reports for sponsors, stakeholders, or dissemination (presentations, publications);
• Supervisory skills;
• Ability to troubleshoot and refine workflows for efficiency;
• Ability to support dissemination efforts (presentations, posters, manuscripts) through data organization;
• Flexibility to adapt to changing project demands, including occasional evening/weekend research activities; and
• Interest in professional growth in research management, lab operations, or data science.

Instructions to Applicants: 

For full consideration, applicants must apply for Lab and Data Labeling Coordinator (Requisition #:10003695) at https://jobs.gmu.edu/. Complete and submit the online application to include three professional references with full contact information, one of which is a most recent supervisor, and provide a Resume and a Cover letter answering the following questions for review: 

• Why you are interested in the Injury Analytics Lab and research focused on violence, injury, and equity.
  
  
• Please briefly describe your experience with research coordination, labs, complex operations, compliance, scheduling, documentation, or team leadership. Examples are encouraged.
  
  
• Experience with compliance-heavy environments (IRB, HIPAA, human subjects, clinical research, etc.).
  
  
• Comfort managing students, schedules, documentation, and competing priorities.
  
  
• Availability and start date.

Posting Open Date: February 2, 2026

For Full Consideration, Apply by:  February 16, 2026

Open Until Filled:  Yes