Biosignal data collection specialist

30 ago - Roma
Silenzio

In a world where machines—computers, smartphones, wearables—are increasingly capable of performing complex tasks autonomously, the ways we currently instruct them have become a bottleneck, limiting communication bandwidth and our efficiency in shaping the world around us. We are committed to playing a leading role in the next revolution in human-machine interfaces, building systems as transformative as the mouse and keyboard, the graphical user interface, and the touchscreen were before them.

Team

You will join an exceptionally talented and diverse team—collaborative, deeply experienced in the field, and driven to build products that make a real impact on society and that we can all be proud of.

Job Responsibilities

We are looking for people to run EEG/EMG data acquisition end-to-end: co-designing experimental protocols, recruiting and welcoming participants, collecting signal data, and preparing it for analysis. We are recruiting across two distinct tracks—engineering-oriented and participant-facing. Apply to the one that fits you best.

Concretely, you will:




- Maintain and manage the inventory of all lab equipment, including tools and consumables
- Co-design experimental paradigms and tasks for data collection
- Handle participant recruitment, onboarding, compliance, briefing, and data collection
- Set up the recording hardware (EMG, EEG) and manage hardware maintenance and quality control
- Run and monitor large-scale experiments

Engineering track:
- Maintain and improve the data-collection backend and frontend, fixing bugs and issues as they arise
- Quality-check collected data and perform signal preprocessing

Participant-facing track:
- Monitor the execution of data collection and provide participant support
- Ensure privacy, ethical, and regulatory compliance

Experience
- Prior hands‑on experience acquiring EEG and/or EMG data. This is non‑negotiable: we need someone who has already sat with participants, placed electrodes, monitored signal quality in r

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