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Brain Computer Interface Research Assistant Jobs

Subsense

Research Scientist in Neuroscience

Palo Alto, CA · On-site

$115K - $140K/yr

... surgical, bidirectional brain-computer interface powered by plasmonic and magnetoelectric ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Neuralink

Neuroengineer, Next Gen

Fremont, CA · On-site

$122K - $226K/yr

The Next Gen team at Neuralink is developing the next generation of brain-computer interfaces. We ... Run and support research sessions in coordination with software engineers, field engineers, and ...

Infotech Sourcing

Research Scientist III

Redmond, WA · On-site

... audio, graphics, brain-computer interface, haptic interaction, eye/hand/face/body tracking ... Communicate results internally and with external partners. Assist in the translation of research ...

Massgeneralbrigham

Research Assistant

Somerville, MA · On-site

$20.16 - $29.01/hr

The main mission of this laboratory is to understand brain abnormalities and their role in ... Computer programing experience, including experience with Linux/UNIX systems, python/bash scripting ...

Mass General Brigham

Research Assistant

Somerville, MA · On-site

$20.16 - $29.01/hr

... computer scientists, psychologists, neuroscientists, and other Principal Investigators on ongoing research studies involving investigating brain abnormalities in schizophrenia, clinical high risk for ...

Neuralink

Analog IC Layout Engineer

Fremont, CA · On-site

The Brain Interfaces Soc Department delivers chip architecture and silicon implementation of neural recording and stimulation system-on-chip (SoC) for high-bandwidth brain-computer interfaces. We ...

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

As of May 29, 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 are the key skills and qualifications needed to thrive as a Brain Computer Interface Research Assistant, and why are they important?

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 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 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.

Infographic showing various Brain Computer Interface Research Assistant job openings in the United States as of May 2026, with employment types broken down into 79% Full Time, and 21% Part Time. Highlights an 100% In-person job distribution, with an average salary of $45,571 per year, or $21.9 per hour.

Senior Hardware Engineer

Echo Neurotechnologies

San Francisco, CA • On-site

$140K - $180K/yr

Full-time

Retirement

Posted 23 days ago

Job description

Company Overview
Echo Neurotechnologies is an exciting new startup in the Brain-Computer Interface (BCI) space, driving innovation through advanced hardware engineering and AI solutions. Our mission is to deliver cutting-edge technologies that restore autonomy to people living with disabilities and improve their quality of life.
Team Culture
Join a small, dedicated team of knowledgeable and motivated professionals. Our early-stage environment offers the opportunity to take ownership of broad decisions with significant and long-lasting impact. We emphasize continuous learning and growth, fostering cross-functional collaboration where your contributions are vital to our success.
Summary
Echo Neurotechnologies is developing novel Brain Computer Interface (BCI) products to restore autonomy to people living with disabilities and to improve quality of life. We are seeking a Sr. Hardware Engineer with a strong background in Mechanical Engineering to verify the Echo hardware system. The candidate will be responsible for evaluating custom Echo hardware devices and subsystems. The candidate will also drive development and implementation of custom test systems for design verification testing.
Primary Role and Responsibilities
  • Design and prototyping of mechanical components and assemblies including rapid prototyping, machining, injection molding
  • Develop electromechanical test systems for characterizing and testing hardware devices
  • Develop test protocols, implement design verification testing, oversee testing with vendors
  • Perform analysis of test data, author technical reports, oversee test reports from vendors
  • Develop component and assembly drawings including tolerance stack-ups and analyses
  • Develop and execute design verification activities
Qualifications
  • Bachelor's degree in Mechanical Engineering, or related field
  • Minimum 7 years of industry experience in engineering electro-mechanical hardware devices
  • Experience with hands-on machining or rapid prototyping
  • Experience analyzing data from physical systems
  • Experience working within a quality system
Other Qualifications
  • Master's degree in Mechanical Engineering, or a related field
  • Strong collaboration mindset
  • Superior written and verbal communication skills
  • Exceptional organizational skills and attention to detail
  • Occasional travel to vendors (<10%)
What We Offer
  • An opportunity to work on exciting, cutting-edge projects to transform patients' lives in a highly collaborative work environment.
  • Competitive compensation, including stock options.
  • Comprehensive benefits package.
  • 401(k) program with matching contributions.

Equal Opportunity Employer
Echo Neurotechnologies is an Equal Opportunity Employer (EOE). We celebrate diversity and are committed to creating an inclusive environment for all employees.
Confidentiality
All applications will be treated confidentially. Applicants may be asked to sign an NDA after the initial stages of the interview process.

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