Study Coordinator

MidjourneySan Francisco, CA

About The Position

This role involves running human-subjects recording sessions from start to finish, including participant preparation, sensor setup, stimulus delivery, real-time monitoring, and documentation. The position also requires daily quality control of a unique sensing instrument, managing participant operations such as recruitment and scheduling, establishing operational procedures, and performing initial data handling tasks. The Study Coordinator will collaborate with the program lead to enhance acquisition protocols and system performance.

Requirements

  • 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.

Nice To Haves

  • 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.

Responsibilities

  • 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.
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