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How much do intern neuroscience intern jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for intern neuroscience intern in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is the difference between Intern Neuroscience Intern vs Neuroscience Research Assistant?

AspectIntern Neuroscience InternNeuroscience Research Assistant
Required CredentialsEnrolled in undergraduate or graduate program in neuroscience or related fieldBachelor's or Master's degree in neuroscience or related field
Work EnvironmentInternship setting, often in academic or research institutionsFull or part-time research roles in labs or academic settings
Employer & Industry UsageEducational institutions, research centers, internships for studentsResearch labs, universities, biotech companies

While both roles involve neuroscience research, an Intern Neuroscience Intern is typically a student gaining initial experience, whereas a Neuroscience Research Assistant usually holds a degree and performs more independent research tasks.

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Intern Neuroscience Intern jobs near you

Computational Neuroscience Intern | Joy Lab

The Jackson Laboratory

Bar Harbor, ME • On-site

$14.50 - $30.51/hr

Internship

Posted 19 days ago

The Jackson Laboratory rating

8.3

Company rating: 8.3 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

32nd of 120 rated laboratories

Job description

Computational Neuroscience Intern- Joy Lab
The Jackson Laboratory (JAX) is seeking a motivated Computational Neuroscience Intern to join the Joy Lab for a summer internship. The Joy Lab studies mechanisms of neural repair after stroke using large-scale neural recordings, ethological measurements of behavior, optogenetics, and transcriptomics. The successful candidate will work with datasets collected from neurophysiological recordings and animal behavior experiments. Primary responsibilities will include developing and implementing statistical and machine learning models for data analysis, data mining, data curation, and storage in research repositories.
This internship offers significant opportunities for professional growth, including the chance to develop novel methods and evaluate existing approaches in computational neuroscience. The intern will work closely with members of the Joy Lab, learn about relevant biological questions and scientific literature, apply analytical models to complex datasets, and contribute to scientific publications.
Candidates are expected to have an undergraduate degree. A master's degree or experience in one or more areas such as neuroscience, machine learning, computational biology, statistics, data science, or a related field, is desirable. Remote work may be possible; however, the candidate is expected to communicate regularly and effectively with lab members.
Applications should include a CV and a cover letter describing the candidate's interest in the position.
Pay Range: $14.5 - $30.51
About JAX:
The Jackson Laboratory is an independent, nonprofit biomedical research institution with a National Cancer Institute-designated Cancer Center and nearly 3,000 employees in locations across the United States (Maine, Connecticut, California), Japan and China. Its mission is to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health.
Founded in 1929, JAX applies over nine decades of expertise in genetics to increase understanding of human disease, advancing treatments and cures for cancer, neurological and immune disorders, diabetes, aging and heart disease. It models and interprets genomic complexity, integrates basic research with clinical application, educates current and future scientists, and provides critical data, tools and services to the global biomedical community. For more information, please visit www.jax.org.
EEO Statement:
The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color, religion, age, mental disability, physical disability, medical condition, gender, sexual orientation, genetic information, ancestry, marital status, national origin, veteran status, and other classifications protected by applicable state and local non-discrimination laws.

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