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.