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Brain Computer Interface Research Assistant Jobs

Merge

Research Associate

San Francisco, CA · On-site

We're pursuing this goal by developing fundamentally new approaches to brain-computer interfaces ... About the role As a Research Associate, you'll join a multidisciplinary group advancing core ...

Synaptrix Labs

Internship Program

New York, NY · On-site

$18.25 - $23.75/hr

Software Engineering, Hardware Engineering, Machine Learning Research, Industrial Design, and UI/UX Design. If you're excited about building the future of brain-computer interfaces and want to work ...

Neurable, INC

Machine Learning

Cambridge, MA

Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the ... We are currently looking for a Machine Learning Scientist/Researcher to join our team. We would ...

Merge Labs

MLOps Research Engineer

San Francisco, CA · On-site

$200K - $235K/yr

About the team Merge is building the next generation of brain-computer interfaces by combining recent advances in synthetic biology, neuroscience, AI, and non-invasive imaging. To support this ...

Neurable, INC

Machine Learning

Cambridge, MA · On-site

Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the ... We are currently looking for a Machine Learning Scientist/Researcher to join our team. We would ...

csproviders

Neurology - Physician

Orange, CA

Brain-computer interface research * Closed-loop DBS technology * AI and advanced data analytics * Deep brain stimulation outcomes research * Clinical trials * Genetic therapies * Medication outcomes ...

csproviders

Neurology - Physician

Orange, CA

Brain-computer interface research * Closed-loop DBS technology * AI and advanced data analytics * Deep brain stimulation outcomes research * Clinical trials * Genetic therapies * Medication outcomes ...

Neuralink

Software Engineer, BCI Applications

Austin, TX · On-site

$150K - $281K/yr

The Brain Computer Interface (BCI) Applications Team is responsible for delivering a product that gives people with paralysis the ability to control computers, phones, and robotic arms with their ...

Neara

R&D Senior Process Engineer

Addison, TX · On-site

$100K - $130K/yr

R&D Senior Process Engineer Job type: Full Time · Department: Microfabrication · Work type ... brain-computer interface (BCI) to heal and empower millions of people living with neurological ...

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Brain Computer Interface Research Assistant information

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How much do brain computer interface research assistant jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for brain computer interface research assistant in the United States is $21.91, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $25.48 per hour, depending on experience, location, and employer.

What does a brain computer interface research assistant do?

A Brain Computer Interface (BCI) Research Assistant supports research projects focused on developing systems that enable direct communication between the brain and external devices. Their responsibilities typically include collecting and analyzing neural data, setting up experiments, assisting with hardware and software development, and reviewing relevant scientific literature. They often work closely with neuroscientists, engineers, and other researchers to advance BCI technologies for applications such as neuroprosthetics or communication aids for individuals with disabilities.

What are the key skills and qualifications needed to thrive as a brain computer interface research assistant?

To thrive as a Brain Computer Interface Research Assistant, you need a background in neuroscience, biomedical engineering, or computer science, typically with experience in signal processing and experimental research. Familiarity with programming languages (such as Python or MATLAB), EEG/MEG systems, and data analysis tools is commonly required. Attention to detail, strong problem-solving skills, and the ability to collaborate within multidisciplinary teams help distinguish top candidates. These skills and qualities are vital to ensure rigorous research, accurate data interpretation, and the successful development of innovative brain-computer interface technologies.

What are some typical challenges faced by brain computer interface research assistants when working on interdisciplinary teams?

Brain Computer Interface (BCI) Research Assistants often work alongside neuroscientists, engineers, and software developers, making effective communication a common challenge. Bridging gaps between technical jargon and scientific concepts is crucial for smooth collaboration. Additionally, adapting to rapidly evolving technology and troubleshooting experimental setups can be demanding. Staying organized and open to learning from diverse team members is key to success in this dynamic, multidisciplinary environment.

What is the difference between Brain Computer Interface Research Assistant vs EEG Technician?

AspectBrain Computer Interface Research AssistantEEG Technician
Required CredentialsBachelor's degree in neuroscience, engineering, or related field; research experienceCertification in EEG technology; training in neurodiagnostic procedures
Work EnvironmentResearch labs, universities, tech companiesHospitals, clinics, diagnostic labs
Employer & IndustryAcademic, research institutions, neurotech companiesMedical facilities, neurodiagnostic centers
Common Search & ComparisonResearch roles in neurotechnologyClinical neurodiagnostic roles

The Brain Computer Interface Research Assistant focuses on developing and testing BCI systems in research settings, requiring a background in neuroscience or engineering. In contrast, an EEG Technician primarily conducts diagnostic EEG tests in clinical environments, emphasizing certification and patient interaction. While both roles involve neurotechnology, the Research Assistant is research-oriented, whereas the EEG Technician is clinical-focused.

What cities are hiring for Brain Computer Interface Research Assistant jobs?

Cities with the most Brain Computer Interface Research Assistant job openings:

What are popular job titles related to Brain Computer Interface Research Assistant jobs?

For Brain Computer Interface Research Assistant jobs, the most frequently searched job titles are:

Infographic showing various Brain Computer Interface Research Assistant job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 81% Physical, 1% Hybrid, and 18% Remote job distribution, with an average salary of $45,571 per year, or $21.9 per hour.

Research Associate

San Francisco, CA • On-site

Merge
See more jobs at Mergeexternal

Other

Posted 8 days ago

Job description

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.

About the team

Our Bio team designs, builds, and characterizes the biotechnologies that form the foundation of next-generation brain-computer interfaces. We combine molecular engineering, synthetic biology, neuroscience and advanced physical methods such as ultrasound to establish less invasive, high-bandwidth connections with neurons. The Bio team develops our core molecular technologies, validates their performance in vitro and in vivo, and demonstrates their advanced capabilities in animal models. We build custom experimental setups and pipelines and collaborate closely with engineers and data scientists. We work across disciplines to come up with creative ideas and solve some of the most challenging problems in biotechnology.

About the role

As a Research Associate, you’ll join a multidisciplinary group advancing core biological research at Merge. You’ll work closely with scientists to design, execute, and iterate on experiments spanning protein engineering, cell biology, synthetic biology, neuroscience and/or translational biology. You’ll see your experiments feed directly into experimental decisions, execution, and technical strategy. This track is designed to identify and develop high-potential early scientists and place them on an accelerated path toward independent scientific roles.

In this role, you will:
  • Execute experiments in one or more areas such as:
    • Molecular biology (cloning, mutagenesis, plasmid prep)
    • Protein biochemistry (expression, purification, assays)
    • Cell biology (culture, transfection, imaging)
    • Neuroscience (in vivo experiments, tissue prep, sample handling, data collection)
  • Maintain accurate lab records, inventories, and shared resources.
  • Analyze and present data to help guide experimental design.
  • Learn new techniques and collaborate across scientific disciplines.
You might thrive in this role if you have:
  • A BS, BA, or MS in Biology, Biochemistry, Neuroscience, Bioengineering, or a related field.
  • Hands‑on experience in one or more of the following: molecular cloning, protein purification, mammalian cell culture, or in vivo biology.
  • Strong attention to detail, curiosity, and willingness to learn beyond your core domain.
  • A collaborative, organized approach to experimental work and data integrity.
  • Prior experience in an academic or industry research lab.
  • The desire to be part of a fast‑paced team working on frontier scientific and technical problems.
Nice to have:
  • Experience with standard biochemical or imaging assays (e.g., SDS‑PAGE, fluorescence microscopy, enzymatic assays).
  • Familiarity with rodent models or in vivo experimental workflows.

If you're excited about this role but don't meet every qualification, please apply. As we build, we're hiring for complementary strengths to form a high-impact team.

Merge Labs does not discriminate on the basis of race, color, religion, national origin, age, sex, sexual orientation, gender, gender identity, gender expression, marital status, physical or mental disability, medical condition, genetic information, family status, ancestry, citizenship, U.S. military (state and federal) and veteran status, or any other legally protected status. It is our intention that all applicants be given equal opportunity and that selection decisions are based on job related factors. We are an equal opportunity employer.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@merge.io.

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