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Full Time Internship Eeg Jobs (NOW HIRING)

Synaptrix Labs

Internship Program

New York, NY

$18.25 - $23.75/hr

Build and prototype non-invasive EEG-based BCI hardware, from electrode arrays to embedded ... Potential for full-time conversion after graduation

Synaptrix Labs

Internship Program

New York, NY · On-site

$18.25 - $23.75/hr

Build and prototype non-invasive EEG-based BCI hardware, from electrode arrays to embedded ... Potential for full-time conversion after graduation

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How much do full time internship eeg jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for full time internship eeg in the United States is $34.48, according to ZipRecruiter salary data. Most workers in this role earn between $26.44 and $40.38 per hour, depending on experience, location, and employer.

What is the difference between Full Time Internship Eeg vs Full Time Internship Data Analyst?

AspectFull Time Internship EegFull Time Internship Data Analyst
Required CredentialsRelevant coursework, basic technical skillsDegree in Data Science, Statistics, or related field
Work EnvironmentResearch labs, healthcare, or medical device companiesCorporate offices, tech firms, or consulting agencies
Industry UsageHealthcare, medical devices, neurotechnologyFinance, marketing, technology sectors

Full Time Internship Eeg typically focuses on neurophysiological data collection and analysis in healthcare settings, requiring basic technical skills. In contrast, a Full Time Internship Data Analyst involves working with large datasets across various industries, often requiring statistical and analytical expertise. Both internships offer valuable industry experience but differ in focus, environment, and skill requirements.

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What cities are hiring for Full Time Internship Eeg jobs? Cities with the most Full Time Internship Eeg job openings:
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Full Time Internship Eeg jobs near you
Infographic showing various Full Time Internship Eeg job openings in the United States as of July 2026, with employment types broken down into 2% Locum Tenens, 2% As Needed, 74% Full Time, 9% Part Time, 8% Contract, and 5% Summer. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $71,720 per year, or $34.5 per hour.

Internship Program

Synaptrix Labs

New York, NY

$18.25 - $23.75/hr

Full-time, Internship

Posted 11 days ago

Job description

About Synaptrix Labs Inc.

Synaptrix is on a mission to revolutionize brain-computer interfaces through non-invasive approaches. We believe that the power to diagnose and treat neurological conditions safely, and to expand human potential, will become a reality with the right fusion of deep learning, signal processing, and computational neuroscience.

We're seeking passionate, creative, and technically driven interns to join our team across multiple disciplines: 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 at the intersection of neuroscience, AI, and human experience, we want to hear from you.

Responsibilities:

Depending on your background and interests, you may:

  • Contribute to development of real-time software systems for neural signal processing and data visualization.
  • Build and prototype non-invasive EEG-based BCI hardware, from electrode arrays to embedded microcontroller systems.
  • Design, train, and evaluate machine learning models for EEG/EMG decoding, denoising, and signal enhancement.
  • Develop intuitive interfaces and user experiences for individuals with mobility or communication impairments.
  • Collaborate with the design team to prototype wearable and ergonomic form factors for next-generation neurotech devices.
  • Support data collection and analysis in research sessions, assisting with experimental setup and instrumentation.
  • Participate in cross-functional design reviews and brainstorming sessions that bring together neuroscience, AI, and engineering.
  • Contribute to internal documentation, test plans, and experimental logs for ongoing R&D projects.

Minimum Qualifications:

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Electrical Engineering, Biomedical Engineering, Neuroscience, Mechanical/Industrial Design, or a related field.
  • Demonstrated experience with one or more of the following:
    • Software: Python, C++, or JavaScript
    • Machine Learning: PyTorch, TensorFlow, or JAX
    • Hardware: Arduino, PCB design, or embedded systems
    • Design: Figma, Fusion 360, SolidWorks, or similar tools
  • Strong problem-solving ability and curiosity about neuroscience, AI, or human-machine interfaces.
  • Excellent communication and teamwork skills; thrives in a fast-paced, interdisciplinary environment.
  • Availability for an internship in New York City.

Preferred Qualifications:

  • Prior experience with EEG/EMG systems, biosignal acquisition, or data analysis.
  • Familiarity with deep learning for time-series or multimodal data.
  • Experience designing assistive devices, wearables, or medical technology.
  • Portfolio, GitHub, or research projects demonstrating creative technical work.
  • Interest in startups, prototyping, and early-stage innovation.

About our Culture:

At Synaptrix Labs, we celebrate curiosity, open collaboration, and scientific rigor. Our interdisciplinary team spans neuroscience, AI, and clinical research, and we are united by the belief that non-invasive BCI is the key to unlocking a new era in healthcare, accessibility, and human augmentation.
As an intern, you'll work directly alongside engineers, researchers, and designers who are defining the next generation of brain-computer interfaces. You'll be encouraged to explore bold ideas, experiment freely, and take ownership of meaningful projects from day one.

What We Offer:

  • Hands-on experience in one of the world's most exciting emerging fields: brain-computer interfaces
  • Opportunity to contribute to technology that directly improves lives
  • Mentorship from scientists, engineers, and founders building real neurotechnology products
  • Dynamic NYC workspace blending lab, workshop, and creative studio environments
  • Potential for full-time conversion after graduation