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Brain Computer Interface Research Assistant Jobs

Alljoined

Research Intern (Fall)

San Francisco, CA · On-site

$30/hr

About the Role As a Research Intern , you will contribute to building the computational infrastructure that powers our breakthrough brain-computer interface research. You'll work at the intersection ...

Orbit Inc

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Clinical Research Coordinator -- Brain-Computer Interfaces

Charlestown, MA · On-site

$80K - $120K/yr

Orbit is a brain-computer interface company working on improving humans. We've developed non-invasive brain stimulation devices which help humans sleep, reason, and improve their mood. We're a team ...

Paradromics

Research Engineer

Oakland, CA · On-site

$120K - $150K/yr

Paradromics is building a brain-computer interface (BCI) platform that records brain activity at ... The Role As a Research Engineer at Paradromics, you'll work closely with our team of Scientists and ...

Neuralink

Neuroengineer, Next Gen

Fremont, CA

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 ...

Paradromics, Inc.

Research Engineer

Oakland, CA · On-site

Paradromics is building a brain-computer interface (BCI) platform that records brain activity at ... The Role As a Research Engineer at Paradromics, you'll work closely with our team of Scientists and ...

Neurable, INC

Software Developer

Cambridge, MA · On-site

Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the ... working on research and development (i.e. testing and tweaking our Unity demo applications)

Neurable, INC

Software Developer

Cambridge, MA

Company Description Neurable is a funded brain-computer interface (BCI) startup spun out of the ... working on research and development (i.e. testing and tweaking our Unity demo applications)

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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.
XR Brain-Computer Interface Research Intern

XR Brain-Computer Interface Research Intern

Cognixion

Santa Barbara, CA • On-site

$30/hr

Full-time

Posted 20 days ago

Job description

XR Brain-Computer Interface Research Intern
Cognixion Inc. is seeking a motivated research intern to support our cutting-edge XR/AR brain-computer interface platform development. This hands-on role offers unique exposure to clinical neurotechnology applications and rapid prototyping in an innovative startup environment.
This position will be based in Cognixion's Santa Barbara, CA office and follows a hybrid work schedule with 3 days/week in the office.
Primary Responsibilities:
  • Rapidly prototype and iterate software solutions for EEG-based brain-computer interface systems
  • Support clinical study activities including participant coordination, data collection, and site visits
  • Process and analyze EEG data to inform product development and clinical validation

Required Qualifications:
  • Strong Python programming skills with experience in data processing pipelines
  • Working knowledge of EEG signal processing and analysis techniques
  • Foundational understanding of neuroscience and/or neurology principles
  • Ability to work in fast-paced environment with quick iteration cycles
  • Comfortable with participant-facing activities and occasional travel for site visits

Preferred Qualifications:
  • Experience with machine learning libraries (scikit-learn, TensorFlow, PyTorch)
  • Familiarity with Unity development for XR
  • Background in assistive technology or accessibility applications
  • Understanding of clinical research protocols and IRB compliance
  • Hands on experience with multiple XR devices

This position offers hands-on experience at the intersection of neurotechnology, augmented reality, and assistive communication devices. Ideal for students pursuing careers in biomedical engineering, neuroscience, or human-computer interaction.

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