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Internship Eeg Research Jobs (NOW HIRING)

Senior/Staff Data Scientist

Sunnyvale, CA ยท On-site

$184 - $200/hr

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 ...

New

Senior/Staff Data Scientist

Sunnyvale, CA ยท 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 ...

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 ...

New

Senior/Staff Data Scientist

Sunnyvale, CA ยท On-site

$184 - $200/hr

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 ...

New

Initiate, design, conduct, and report on research studies, data analysis and program evaluations ... Train and Supervise interns and fellows Requirements EDUCATION, EXPERIENCE & CREDENTIALS MINIMUM ...

Initiate, design, conduct, and report on research studies, data analysis and program evaluations ... Train and Supervise interns and fellows Requirements EDUCATION, EXPERIENCE & CREDENTIALS MINIMUM ...

Initiate, design, conduct, and report on research studies, data analysis and program evaluations ... Train and Supervise interns and fellows Requirements EDUCATION, EXPERIENCE & CREDENTIALS MINIMUM ...

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Internship Eeg Research information

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$2.1K

$6.4K

$7.8K

How much do internship eeg research jobs pay per month?

As of Aug 9, 2026, the average monthly pay for internship eeg research in the United States is $6,439.50, according to ZipRecruiter salary data. Most workers in this role earn between $4,416.67 and $7,666.67 per month, depending on experience, location, and employer.

What is the difference between Internship Eeg Research vs EEG Technician?

AspectInternship Eeg ResearchEEG Technician
Required CredentialsTypically pursuing or holding a degree in neuroscience, psychology, or related fieldsCertification or training in EEG technology, often requiring specific technical certifications
Work EnvironmentResearch labs, academic institutions, clinical research settingsHospitals, clinics, diagnostic laboratories
Employer & Industry UsageUniversities, research institutes, clinical research organizationsHospitals, neurology clinics, outpatient care centers
Common Search & ComparisonInternship Eeg Research vs EEG Technician

Internship Eeg Research typically involves gaining research experience in EEG data collection and analysis within academic or clinical research settings, often for students or early-career professionals. EEG Technicians focus on performing EEG recordings in clinical environments, requiring specific technical certifications. While both roles involve EEG technology, internships are research-oriented, whereas technicians provide diagnostic services.

What hands-on tasks can I expect as an EEG research intern, and how closely will I work with senior researchers?

As an EEG Research Intern, you can expect to be involved in tasks such as setting up EEG equipment, assisting with participant recruitment, collecting and preprocessing data, and supporting data analysis under supervision. You will typically work closely with senior researchers and lab staff, receiving guidance and feedback throughout the research process. This collaborative environment provides excellent opportunities to learn technical skills, gain exposure to experimental design, and contribute meaningfully to ongoing studies. The role often requires attention to detail and good communication, especially when interacting with study participants or reporting findings to the team.

What is an internship in EEG research?

An internship in EEG (electroencephalography) research is a temporary, supervised position that allows students or recent graduates to gain practical experience in brainwave recording and analysis. Interns typically assist with setting up EEG equipment, collecting and analyzing data, and supporting ongoing neurological or cognitive research projects. The role offers valuable hands-on learning in neuroscience, psychology, or biomedical engineering settings and can be an important step toward a career in brain research or related fields.

What skills and qualifications are needed to thrive as an EEG research intern?

To thrive as an EEG Research Intern, you need a background in neuroscience, psychology, or a related field, along with strong analytical and research skills. Familiarity with EEG recording equipment, data analysis software (such as MATLAB or EEGLAB), and basic statistical methods is typically required. Attention to detail, teamwork, and effective communication are crucial soft skills for managing data accuracy and collaborating with research teams. These competencies are essential for ensuring the reliability of research findings and contributing meaningfully to scientific studies.
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Infographic showing various Internship Eeg Research job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $77,274 per year, or $37.2 per hour.

Senior/Staff Data Scientist

Doist

Sunnyvale, CA โ€ข On-site

$184 - $200/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

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Job description

About Ceribell

Ceribell is a medical technology company focused on transforming the diagnosis and management of patients with serious neurological conditions. The Ceribell System is a novel, point-of-care electroencephalography(โ€œEEGโ€) platform specifically designed to address the unmet needs of patients in the acute care setting, and is being used in hundreds of community hospitals, large academic facilities and major IDN's across the country. Our entire team is driven by a shared commitment to transforming the landscape of critical care through our rapid seizure detection technology, come join the movement!

Position Overview

We are looking for a talented data scientist/algorithm engineer who is passionate about biomedical applications and has a strong background in machine learning, pattern recognition, signal processing and time-series analysis. The successful candidate will join the data science team and will be responsible for design and development of new state-of-the-art classification algorithms that will take the field of EEG neurodiagnostics to the next level.

What you'll do
  • Use time-series analysis, statistical signal processing and machine learning techniques to design classification algorithms for various neurological indications
  • Analyze data for trends and patterns, and interpret data with a clear objective in mind
  • Collaborate with business and clinical stakeholders to define project needs and communicate results of the models/analytical solutions designed
  • Select and implement appropriate evaluation metrics to assess the performance of algorithms and models, considering both technical accuracy and clinical relevance
  • Document and validate models and perform statistical analysis to comply with regulatory requirements for medical device algorithms
  • Mentor and guide junior data scientists and interns, fostering their growth by providing technical direction, feedback, and support
  • Manage multiple projects independently, effectively prioritizing tasks and aligning deliverables with key milestones to ensure timely and successful outcomes
  • Stay updated with the latest advancements in machine learning and neurodiagnostics to ensure the algorithms are state-of-the-art
What We're Looking For
  • PhD in Electrical Engineering, Computer Science, Statistics, or equivalent disciplines
  • 7+ years of relevant research and/or industry experience in signal processing, filtering, statistical data analysis, time-series analysis, pattern recognition, feature engineering, machine learning and algorithm development
  • Proficient in Python and/or Matlab and/or R or similar programming languages
  • Experience and interest in biological signal processing and algorithm development for biomedical applications
  • Strong analytical skills, detail-oriented and collaborative
  • Experience with large-scale datasets, including preprocessing, cleaning, and handling noisy or imbalanced data in a biomedical context
  • Proven ability to work independently, define scope and manage complex technical projects from concept to deployment
  • Experience with advanced machine learning techniques, such as deep learning architectures (e.g., CNNs, RNNs) and their application to time-series data
  • Strong preference for experience in neurodiagnostics or EEG data processing and algorithm development
Compensation Range

Compensation Range $184,000 โ€” $200,000 USD. A candidateโ€™s final salary offer will be based on their skills, education, work location and experience, and thus it may differ from the posted range. Compensation may also include bonuses consistent with Ceribellโ€™s corporate compensation plan. Note, the above description is not all-encompassing and Ceribell reserves the right to change or modify job duties and assignments at any time.

Benefits
  • Performance-based incentive compensation (varies by role)
  • Equity opportunities
  • 100% Employer paid Health Benefits for Employees
  • 50% - 70% Employer paid Health, Dental & Vision for dependents (depending on plan selection)
  • 100% paid Life and Long-Term Disability Insurance
  • 401(k) with a generous company match
  • Employee Stock Purchase Plan (ESPP) with a discount
  • Monthly cell phone stipend
  • Flexible paid time off
  • 13 Paid Holidays + 3 Company Wellness Days
  • Excellent parental leave policy
  • Fantastic culture with tremendous career advancement opportunities
Application Deadline

Ongoing

Other Job Details

Ceribell reports transfers of value to health care providers (HCPs) as required by federal and state transparency laws. These laws and implementing regulations require Ceribell to provide government agencies with HCPsโ€™ names, addresses and the type of payments or other value received, generally for public disclosure. If you are an HCP and we pay or reimburse your recruiting expenses as a result of interviewing with Ceribell, your name, address and the amount of payments made may be reported to the government.

Equal Opportunity Employer

Ceribell is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth and related medical conditions), sexual orientation, gender identity or expression, national origin, age, marital status, disability, veteran status or any other characteristic protected by law. Ceribell complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Ceribell is an E-Verify employer. Any applicant with a disability who requires an accommodation during the application process should contact talent@ceribell.com to request reasonable accommodation.

Privacy Statement

For information on how Ceribell processes personal data of job applicants, please review our Privacy Policy.

Compliance Disclaimer

If you believe this job posting is non-compliant, please submit a report to legal@ceribell.com. Please note that we will not respond to inquiries unrelated to job posting compliance.

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