Research Study Coordinator - Data QC & Participant Ops

Midjourney; San Francisco (CA); On-site; USD 70,000 - 100,000; Full time

Job summary

Midjourney is seeking a detail-oriented researcher to manage end-to-end human-subjects sessions, including participant prep, sensor setup, and documentation. You will own system QC and participant operations, ensuring data integrity and compliant handling of records in a dynamic research environment.

Responsibilities include coordinating recruitment and scheduling, maintaining SOPs for acquisition and QC, and performing initial data organization and quality checks with Python.

Qualifications

• Experience acquiring physiological or imaging data from human participants in clinical or research settings.
• Meticulous attention to data quality, documentation, and protocol compliance.
• Professional and patient demeanor when interacting with participants.
• Ability to schedule, document, and maintain tidy data hygiene.
• Proactive in identifying issues and escalating anomalies early.

Responsibilities

• Run human-subjects recording sessions end-to-end, including prep, sensor setup, stimulus delivery, and documentation.
• Own daily system QC for a unique sensing instrument, monitor baseline noise, and review sensor health.
• Coordinate participant recruitment, scheduling, screening, consent, and handling of records.
• Develop SOPs for acquisition, QC, and participant workflows to ensure durable operations.
• Perform basic data operations: file organization, metadata management, and quality checks in Python.
• Collaborate with the program lead to refine protocols and improve system performance.

Skills

Attention to detail

Data handling

Python / Shell scripting

Participant handling

Ownership

Tools

Python scripting

Shell scripting

Job description

Midjourney is seeking a detail-oriented researcher to manage end-to-end human-subjects sessions, including participant prep, sensor setup, and documentation. You will own system QC and participant operations, ensuring data integrity and compliant handling of records in a dynamic research environment.

Responsibilities include coordinating recruitment and scheduling, maintaining SOPs for acquisition and QC, and performing initial data organization and quality checks with Python.