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Member of Research Staff

Nudge
San FranciscoOn-site6mo ago
Employment
Full-time
Seniority
Staff

About the role

About Nudge

At Nudge, our mission is to develop the best technology for interfacing with the brain to improve people's lives. We're starting with an approach that we believe can help the most people the fastest, and also allow us to learn as much about the brain as possible: developing a non-invasive, ultrasound-based device that can stimulate and image the brain at high resolution and depth. This is a vertically integrated effort building cutting-edge hardware, software, and research capabilities to create products that can benefit millions — and eventually billions — of people.

To succeed, we need to assemble world-class teams across everything we do. We hire people who are exceptional at their craft, believe hard things are worth doing, and execute relentlessly — people who expect the highest levels of both rigor and integrity from each other.

About the role

As a member of research staff at Nudge, you will:

  • Work closely with research and engineering teams to run high-quality data collection for studies and R&D experiments

  • Execute experimental protocols: administer cognitive tasks and collect imaging/physiological data in clinical and non-clinical populations

  • Manage participant workflow end to end: recruitment, screening, scheduling, and informed consent

  • Learn and operate neuromodulation and imaging systems, follow SOPs, and maintain equipment logs

  • Contribute to documentation, data quality checks, and analysis to support next-generation neurotechnology development


About you

We are looking for members of research staff with at least 2 years of research/clinical/lab experience (academic or industry). Regardless of career level, you should have:

  • A bachelor’s degree in a science, math, or engineering field (including neuroscience, cognitive science, psychology, computer science), or equivalent experience

  • A demonstrated history of exceptional contributions in your prior work experiences

  • Strong interpersonal and communication skills

  • Experience with data collection and analysis

  • High integrity and strong professional judgement

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