
Study Coordinator
San Francisco Bay Area, CA · HybridFull-timePosted 1mo agoStill listed 3 days ago
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At a glance
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Job overview
The Study Coordinator will manage end‑to‑end human‑subjects recording sessions, ensure quality control of a unique sensing instrument, coordinate participant recruitment and scheduling, develop and maintain SOPs, perform first‑pass data processing in Python, and collaborate with the program lead to refine acquisition protocols.
Skills & qualifications
Skills
Full job description
What you'll do
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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.
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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.
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Own participant operations: recruitment coordination, scheduling, screening, consent, and compliant handling of participant records.
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Stand up and maintain the operational backbone of the program: SOPs for acquisition, QC, and participant workflows — documentation that survives you.
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Handle first-pass data operations: file conversion, organization, metadata, and quality review in Python.
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Partner daily with the program lead to refine acquisition protocols and improve system performance over time.
What we're looking for
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Hands-on experience acquiring physiological or imaging data from human participants in a clinical or research setting
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Obsessive consistency and attention to detail: you notice when something is off and you don't let it slide.
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Professional, patient, and calm with research participants — sessions succeed or fail on how people feel in the room.
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Basic scripting ability (Python and/or shell) for QC and data-handling tasks, or clear aptitude and motivation to build it.
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High ownership of the unglamorous parts: scheduling, documentation, tidy data hygiene.
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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
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Controlled or low-noise recording environments and highly sensitive instrumentation.
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Physiological signal-processing tools in Python.
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Human-subjects research administration (IRB protocols, consent workflows).
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Research studies involving structured tasks or sensory protocols with human participants.
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