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Internship Eeg Jobs (NOW HIRING)

SRI International

Intern, Sleep Lab

Menlo Park, CA · On-site

$17.55 - $23/hr

This internship offers the opportunity to contribute to multiple human research studies and gain ... Our studies collect rich, multimodal data including overnight EEG recordings, wearable-derived ...

SRI International

Intern, Sleep Lab

Menlo Park, CA · On-site

$17.55 - $23/hr

This internship offers the opportunity to contribute to multiple human research studies and gain ... Our studies collect rich, multimodal data including overnight EEG recordings, wearable-derived ...

Ceribell, Inc

Senior/Staff Data Scientist

Sunnyvale, CA · On-site

... field of EEG neurodiagnostics to the next level. What you'll do: * Use time-series analysis ... Mentor and guide junior data scientists and interns, fostering their growth by providing technical ...

Ceribell, Inc

Senior/Staff Data Scientist

San Francisco, CA · On-site

$184K - $200K/yr

The Ceribell System is a novel, point-of-care electroencephalography ("EEG") platform specifically ... Mentor and guide junior data scientists and interns, fostering their growth by providing technical ...

Ceribell, Inc

Senior/Staff Data Scientist

Sunnyvale, CA · On-site

$184K - $200K/yr

The Ceribell System is a novel, point-of-care electroencephalography ("EEG") platform specifically ... Mentor and guide junior data scientists and interns, fostering their growth by providing technical ...

Ceribell, Inc

Senior/Staff Data Scientist

San Jose, CA · On-site

$184K - $200K/yr

The Ceribell System is a novel, point-of-care electroencephalography ("EEG") platform specifically ... Mentor and guide junior data scientists and interns, fostering their growth by providing technical ...

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Internship Eeg information

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How much do internship eeg jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for 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 an internship EEG?

An Internship EEG job involves assisting in the recording and analysis of electroencephalograms (EEGs), which measure brain activity. Interns typically work under the supervision of experienced neurophysiologists or technicians in hospitals, research centers, or clinics. Responsibilities may include preparing patients, setting up EEG equipment, monitoring recordings, and analyzing data. This role provides hands-on experience in neurodiagnostics and is often pursued by students in neuroscience, biomedical engineering, or related fields.

What types of projects or tasks can I expect to work on as an internship EEG?

As an EEG Intern, you can expect to assist with preparing and monitoring EEG tests, collecting and analyzing brainwave data, and helping to maintain laboratory equipment. Interns often work closely with clinical or research teams, participate in patient or participant setup, and may assist with data entry or preliminary analysis. You’ll gain hands-on experience in neurophysiology and exposure to a multidisciplinary team, which is valuable for building both technical and professional skills. This role often provides excellent learning opportunities through mentorship and involvement in ongoing studies.

What are the key skills and qualifications needed to thrive in the internship EEG position, and why are they important?

To thrive in an EEG Internship, you should have a basic understanding of neuroscience or biomedical sciences, attention to detail, and current enrollment in a relevant academic program. Familiarity with EEG machines, data acquisition software, and possibly basic programming or signal analysis tools is highly beneficial. Strong organizational skills, the ability to work collaboratively, and effective communication help interns excel in research or clinical environments. These competencies are essential for accurately supporting EEG studies, ensuring patient safety, and contributing meaningfully to team objectives.

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Infographic showing various Internship Eeg job openings in the United States as of September 2026, with employment types broken down into 16% Internship, 1% As Needed, 62% Full Time, 19% Part Time, 1% Temporary, and 1% Contract. Highlights an 74% Physical, 2% Hybrid, and 24% Remote job distribution, with an average salary of $71,720 per year, or $34.5 per hour.

Intern, Sleep Lab

Menlo Park, CA • On-site

SRI International
Scientific Research and Development Services • 1 - 5K employees
Learn more about SRI Internationalexternal

$17.55 - $23/hr

Other

Re-posted 3 days ago

Job description

Overview
The Human Sleep Research Program within SRI's Center for Health Sciences conducts multidisciplinary research to better understand sleep and its relationship with health and behavior. Our work spans a variety of research areas, including wearable technologies for measuring sleep and physiology, sleep deprivation, women's health, neuropsychology, and neuroimaging.
This internship offers the opportunity to contribute to multiple human research studies and gain hands-on exposure to a wide range of research methods and technologies. Our studies collect rich, multimodal data including overnight EEG recordings, wearable-derived biosignals such as physical activity and heart rate, cognitive and neuropsychological assessments, clinical and self-report measures, bioassays, and multimodal MRI. Interns will work alongside an interdisciplinary research team and gain practical experience across different stages of clinical and translational sleep research. The position is particularly well suited for someone interested in gaining broad research experience while contributing to studies with applications to human health and emerging health technologies.
The internship will be on-site in our Menlo Park, CA office. This is a part-time year round role, 10-20 hours per week. Candidates must be able to work overnight shifts.
Responsibilities
  • Support multiple human sleep research studies conducted within the Human Sleep Research Program.
  • Assist with participant-facing research visits, including overnight, evening, afternoon, and early-morning study procedures.
  • Ability to remain awake, alert, and attentive throughout overnight research shifts.
  • Assist with collection of physiological and behavioral research data, including overnight EEG/sleep recordings, wearable device data, cognitive and neuropsychological assessments, self-report and clinical measures, and bioassays.
  • Support collection of multimodal MRI data and other study-specific procedures as needed.
  • Assist with research data entry, organization, quality control, and preparation for analysis.
  • Contribute to data analysis and visualization projects, potentially including analyses of wearable, sleep, cognitive, physiological, and neuroimaging data.
  • Follow study protocols and research procedures to ensure accurate, consistent, and high-quality data collection.
  • Work collaboratively with research staff across multiple projects and assist with other research activities as needed.
Qualifications
  • Current Bachelors/Masters/PhD student in psychology, neuroscience, biology, cognitive science, or a related field.
  • Candidates must be a US Citizen
  • Interest in sleep research a plus
  • Detail-oriented and good organizational skills are highly desired

The salary range is: $17.55-$23/hr. Salary ranges will vary and are based on several factors, including geographic location, market competitiveness and equity amongst internal employees in similar roles. Positions may also qualify for SRI's Pay for Outstanding Performance program or the annual Performance Based Compensation program. SRI also has a competitive benefits package, to view details please go to https://www.sri.com/resources/benefits/. SRI will accept applications until the position is filled.
SRI is an independent nonprofit research institute headquartered in Menlo Park, Calif., with a rich history of supporting government and industry. We create and deliver world-changing solutions for a safer, healthier, and more sustainable future. For almost 80 years, we have collaborated across technical and scientific disciplines to discover and develop groundbreaking products and technologies and bring innovations and ideas to the marketplace.

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