Lab and Data Labeling Coordinator

George Mason University•Fairfax, VA

39d•Onsite

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.

Requirements

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)
HIPAA/PHI Compliance Training (must be obtained prior to or shortly after hire).

Nice To Haves

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
Interest in professional growth in research management, lab operations, or data science.

Responsibilities

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
Serves as point of contact for routine communications among research teams, vendors, and collaborators.
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
Supports integration of labeling results into secure data systems.
Provides task-level guidance to graduate assistants, wage staff, and student researchers
Assists in onboarding and training sessions focused on workflow management and compliance
Reviews deliverables and provides feedback under direction of faculty supervisors.
Supports recruitment strategies and outreach activities in collaboration with study coordinators
Assists with scheduling, tracking, and reporting of recruitment activities
Compiles recruitment metrics for inclusion in project reports.
Prepares operational summaries and progress updates for review by project leaders
Contributes to documentation supporting reports, presentations, and proposals
Maintains organized records to support compliance and transparency.