Laboratory Coordinator I

Study coordination and human-subjects research

Coordinate online and in-person studies from preparation through data collection. Recruit, screen, schedule, and communicate with participants. Prepare study materials, questionnaires, consent documents, and participant-facing instructions.

Maintain IRB protocols, amendments, continuing reviews, and approved study documents. Pilot studies and monitor recruitment, completion, data quality, and protocol adherence. Coordinate with the PI, students, collaborators, and technical team to identify and resolve study bottlenecks.

Lab systems, workflows, and documentation: Build and maintain standard operating procedures, onboarding materials, study trackers, project documentation, and shared laboratory resources. Establish clear workflows for initiating studies, documenting variables, storing materials, tracking decisions, and closing projects.

Maintain organized and current records across the lab’s communication, project-management, and documentation systems. Review workflows with the PI and recommend improvements as the lab grows.

General operations and team coordination

Coordinate laboratory calendars, meetings, deadlines, action items, and follow-up. Support onboarding and offboarding of students and research personnel. Coordinate purchasing, reimbursements, inventory, workspace organization, and access requests.

Maintain the laboratory website, mailing lists, and internal communications as assigned. Assist with visits, research meetings, presentations, and community events. Provide the PI with concise updates on priorities, unresolved issues, and approaching deadlines.

Data and research infrastructure

Maintain organized data, code, documentation, and access-control structures in coordination with the PI and technical team. Conduct routine data-quality checks and maintain participant and study-status records. Support the setup and readiness of behavioral, eye-tracking, EEG, and other research equipment as appropriate.

Help maintain documentation for computational resources and reproducible research workflows.

Research support and professional development

Conduct literature searches and assist with study development and pilot testing. Contribute to task programming, data visualization, basic statistical analysis, or computational work according to experience. Assist with conference abstracts, presentations, manuscripts, and grant-related materials.

Participate in lab meetings and pursue a mentored research contribution aligned with laboratory priorities. Receive authorship or presentation opportunities when contributions meet the relevant scientific criteria Knowledge, Skills, and Abilities: Excellent organizational, documentation, and follow-through skills, including the ability to maintain multiple concurrent projects and deadlines.

Ability to create and improve practical workflows in a new and evolving research environment. Proactive communication skills, including the ability to identify bottlenecks, clarify responsibilities, and escalate issues appropriately. Strong attention to detail and ability to handle confidential participant and research information.

Ability to communicate professionally and warmly with research participants, students, faculty, staff, and external collaborators. Ability to work independently while maintaining clear communication with the supervisor and research team. Familiarity with experimental research, human-subjects procedures, data collection, and basic data-quality practices.

Strong digital fluency and willingness to learn new research, documentation, and project-management systems. Experience with Qualtrics, REDCap, Prolific, GitHub, spreadsheets, or similar research tools is desirable. Experience with Python, R, MATLAB, JavaScript, or statistical analysis is desirable and may enable greater involvement in research projects.