Research Associate - In Vivo Molecular Neurotechnology
Merge Labs
- Pay
- $95K to $120K
- a year
- Location
- San Francisco, CA
- Work style
- On-site
- Job type
- Full time
- Posted
- Nov 7
- 1 day ago
Career path
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About the company
Merge Labs
Biotechnology · 2 to 10 employees
Merge Labs is a frontier research lab with the mission of bridging biological and artificial intelligence to maximize human ability, agency and experience. We’re pursuing this goal by developing fundamentally new approaches to brain-computer interfaces that interact with the brain at high bandwidth, integrate with advanced AI, and are ultimately safe and accessible for anyone to use.
What you'll do
- Perform functional imaging experiments to characterize neural activity and evaluate molecular sensors and actuators
- Set up, calibrate, and operate microscopy and stimulation systems
- Contribute to experimental workflows spanning preparation, data acquisition, quality control, analysis, and documentation
- Collaborate with scientists to refine experimental controls and investigate unexpected results
- Develop and use analysis tools to extract neural signals and quantify experimental outcomes
- Troubleshoot biological and technical sources of variability and help improve experimental consistency
- Learn new methods and contribute to protocol development
What you need
- A BS, BA, MS (or higher) in Neuroscience, Biology, Bioengineering, or a related field, or equivalent research experience
- Hands-on experience in experimental neuroscience
- A strong foundation in microscopy, functional imaging, or neural recording
- Experience generating reproducible datasets and recognizing experimental artifacts or data-quality issues
- Familiarity with Python, MATLAB, or comparable tools for quantitative analysis
- Experience with two-photon microscopy, calcium or voltage imaging, or optogenetic stimulation (preferred)
- Experience with rodent surgery, viral injections, cranial windows, or behavioral training (preferred)
- Familiarity with electrophysiology, experimental control hardware, or synchronized acquisition (preferred)
- Education: a bachelor's degree or a postgraduate degree
Key skills
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