Research Technician

Alljoined•San Francisco, CA

11d

About The Position

As a Research Technician , you will own the neural data collection infrastructure that makes our research possible. You'll be the primary point of contact for study participants, running day-to-day EEG experiments with precision and care while ensuring our datasets meet the quality standards required for cutting-edge deep learning research. You will work hands-on with EEG hardware and experimental workflows, sitting at the intersection of human interaction and high-throughput data collection - directly enabling the neural decoding breakthroughs our team is pursuing.

Requirements

Have 1–2+ years of hands-on experience operating EEG hardware in a research or clinical setting.
Hold a Bachelor's or Master's degree in Neuroscience, Psychology, Cognitive Science, or a related field.
Are meticulous about data quality and comfortable owning daily and weekly data collection throughput targets.
Have strong interpersonal skills and the ability to keep participants calm, focused, and engaged throughout experimental sessions.
Are experienced logging, tracking, and reporting technical events — including hardware faults and environmental interference — that affect data integrity.
Can troubleshoot workflow bottlenecks independently and implement corrective actions quickly, even under time pressure.
Thrive working across a multidisciplinary team of software engineers, neuroscientists, and AI researchers.

Nice To Haves

Experience in a fast-paced startup or high-throughput research lab where adaptability and wearing multiple hats was the norm.
Familiarity with Good Clinical Practice (GCP) guidelines and standards for participant-facing research.
Experience administering neuropsychological assessments or cognitive testing protocols in research or clinical environments.
Played an active role in building and executing end-to-end participant recruitment and scheduling pipelines.
Exposure to EEG signal quality optimization - including electrode placement, impedance management, and artifact reduction strategies.