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Midjourney

Study Coordinator

San Francisco Bay Area, California, United States

Job at a glance

Workplace
Hybrid
Employment
Full-time
Sector
Healthcare
Posted
Aug 18, 2026
First found
Sep 22, 2026, 1:02 PM ET

What's your fit?

Score your resume against this job to see your fit, the gaps and the risks.

About the job

What you'll do

  • Run human-subjects recording sessions end-to-end: participant prep and fitting, sensor configuration and calibration, stimulus delivery, real-time signal monitoring, and session documentation.

  • Own daily system QC for a one-of-a-kind sensing instrument: baseline noise recordings, per-sensor health checks, log review, and escalation of anomalies before they touch a dataset.

  • Own participant operations: recruitment coordination, scheduling, screening, consent, and compliant handling of participant records.

  • Stand up and maintain the operational backbone of the program: SOPs for acquisition, QC, and participant workflows — documentation that survives you.

  • Handle first-pass data operations: file conversion, organization, metadata, and quality review in Python.

  • Partner daily with the program lead to refine acquisition protocols and improve system performance over time.

What we're looking for

  • Hands-on experience acquiring physiological or imaging data from human participants in a clinical or research setting

  • Obsessive consistency and attention to detail: you notice when something is off and you don't let it slide.

  • Professional, patient, and calm with research participants — sessions succeed or fail on how people feel in the room.

  • Basic scripting ability (Python and/or shell) for QC and data-handling tasks, or clear aptitude and motivation to build it.

  • High ownership of the unglamorous parts: scheduling, documentation, tidy data hygiene.

  • Discretion — parts of this program are not yet public. We'll walk you through the specifics, including the exact technology you'd be operating, in the first conversation.

Useful experience

  • Controlled or low-noise recording environments and highly sensitive instrumentation.

  • Physiological signal-processing tools in Python.

  • Human-subjects research administration (IRB protocols, consent workflows).

  • Research studies involving structured tasks or sensory protocols with human participants.