Netholabs is a neuroscience and AI research company building biological foundation models grounded in large-scale neurobehavioral data. It designs custom hardware, high-density neural recording systems and tracking environments to capture petascale datasets, working towards whole brain emulation. The company has offices in London and San Francisco and a research site at the University of Sussex in Brighton.

About the role

The data behind Netholabs' foundation model of brain and behavior is produced in-house by a small team, and this role sits at the center of that effort. You run data collection sessions on assigned rigs: preparing and calibrating the setup, running the session, and making sure the data handed off is clean and complete.

The role reports to the Human Data Collection Lead and works alongside the Hardware Systems team. You will also take part in sessions as a contributor of your own data, so comfort being recorded is part of the role.

What you will do

• Prepare, calibrate and run recording sessions end to end, following defined protocols precisely.
• Fit sensors, verify signal quality in real time, and resolve issues before they affect a session.
• Own the quality bar: review, label and validate recordings so only clean, well-documented data moves downstream.
• Keep accurate consent, provenance and session-metadata records under UK GDPR.
• Identify and document anomalies, and help refine protocols.
• Keep your recording setup maintained and ready, support session scheduling, and help onboard short-term participants.

What they are looking for

• Meticulous attention to detail and real care for data quality.
• Ability to follow structured, repeatable protocols precisely and consistently.
• Confidence with hands-on technical setups and quick troubleshooting.
• Comfort taking part in data collection sessions as a contributor, including being recorded.
• Right to work in the UK.
• Valued: research, lab or clinical experience, familiarity with physiological or behavioral recording equipment, and exposure to biosignal or time-series data.