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Neuroscience Research Intern Jobs (NOW HIRING)

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 ... You'll work at the intersection of neuroscience and machine learning, developing and optimizing ...

Scripps Research

INTERN RESEARCH - Zwick Lab

San Diego, CA · On-site

$17.75 - $20.40/hr

... neuroscience, heart disease, cancer, and more. Located in La Jolla, California, the institute ... Intern-Research POSITION SUMMARY: Dive into the world of scientific research with our exciting ...

Georgia Tech

Research Intern (GTRI-ICL)

Atlanta, GA · On-site

... neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school. Georgia ...

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Neuroscience Research Intern information

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How much do neuroscience research intern jobs pay per month?

As of Aug 5, 2026, the average monthly pay for neuroscience research intern 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 are the key skills and qualifications needed to thrive as a neuroscience research intern?

To thrive as a Neuroscience Research Intern, you need a solid background in biology, neuroscience, or related fields, often supported by coursework or laboratory experience. Familiarity with lab techniques, data analysis software (such as MATLAB or SPSS), and scientific literature databases is commonly required. Strong attention to detail, problem-solving abilities, and effective communication skills help interns contribute meaningfully to research teams. These competencies are essential for ensuring accurate data collection, successful collaboration, and progression in neuroscience research projects.

What is a neuroscience research intern?

Neuroscience research interns are students or early-career professionals who work under the supervision of experienced neuroscientists to gain hands-on experience in research settings. Their responsibilities often include assisting with laboratory experiments, collecting and analyzing data, conducting literature reviews, and supporting ongoing research projects focused on the brain and nervous system. These internships provide valuable exposure to the scientific process, laboratory techniques, and current topics in neuroscience. Interns may also have opportunities to present findings and contribute to scholarly publications. Overall, the role is designed to help individuals develop foundational skills for future careers in neuroscience or related fields.

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

AspectNeuroscience Research InternNeuroscience Research Assistant
Required CredentialsUndergraduate or graduate student, some research experienceTypically undergraduate or graduate student, some research experience
Work EnvironmentInternship programs, labs, academic or industry settingsLaboratories, academic institutions, research centers
Employer & Industry UsageUniversities, biotech firms, research institutesUniversities, hospitals, research organizations
Common Search & ComparisonYesYes

The main difference between a Neuroscience Research Intern and a Neuroscience Research Assistant lies in experience level and responsibilities. Interns are often students gaining initial research exposure, while assistants typically have more hands-on responsibilities. Both roles are common in academic and industry research settings, making them frequently compared by job seekers.

What are some typical projects or tasks a neuroscience research intern might work on during their internship?

As a Neuroscience Research Intern, you can expect to engage in a variety of hands-on tasks such as assisting with laboratory experiments, collecting and analyzing data, and supporting ongoing research studies. Interns often help with literature reviews, prepare samples, and may use specialized software for data analysis or imaging. Collaboration is common; you’ll work closely with postdocs, graduate students, and principal investigators, gaining exposure to different aspects of the research process. This role provides an excellent opportunity to develop technical skills and deepen your understanding of neuroscience methodologies while contributing to meaningful scientific discoveries.
More about Neuroscience Research Intern jobs
What cities are hiring for Neuroscience Research Intern jobs? Cities with the most Neuroscience Research Intern job openings:
What are the most commonly searched types of Neuroscience Research jobs? The most popular types of Neuroscience Research jobs are:
What states have the most Neuroscience Research Intern jobs? States with the most job openings for Neuroscience Research Intern jobs include:
What job categories do people searching Neuroscience Research Intern jobs look for? The top searched job categories for Neuroscience Research Intern jobs are:
Neuroscience Research Intern jobs near you
Infographic showing various Neuroscience Research Intern job openings in the United States as of July 2026, with employment types broken down into 12% Internship, 1% As Needed, 49% Full Time, 34% Part Time, 2% Temporary, and 2% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $77,274 per year, or $37.2 per hour.

Research Intern (Fall)

Alljoined

San Francisco, CA • On-site

$30/hr

Full-time

Re-posted 15 days ago

Job description

About Alljoined
Alljoined aims to solve the communication bottleneck between humans and technology by decoding thoughts from the brain, entirely non-invasively. We apply deep learning research to large scale EEG datasets collected on affordable hardware to decode stimuli like images, and eventually emotion, intent, train of thought and more. Targeting business applications first, we will eventually create a general consumer interface for productivity, entertainment and AI applications.
We are actively growing our world-class team of researchers to build the most performant and accessible interface to greatly improve the quality of individual lives as well as the well-being of society as a whole.
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 of neuroscience and machine learning, developing and optimizing pipelines that process massive EEG datasets and implementing cutting-edge deep learning experiments. This role offers hands-on experience with state-of-the-art neural decoding technology while working alongside world-class researchers pushing the boundaries of what's possible in brain-computer interfaces.
About You
  • Currently pursuing or recently completed a degree in Computer Science, Software Engineering, or related field
  • Strong programming skills in Python with ability to quickly learn new frameworks
  • Solid understanding of algorithms and data structures
  • Problem-solving mindset with attention to detail in experimental work
  • Ability to work collaboratively in a fast-paced research environment
  • Enthusiasm for learning about neuroscience and brain-computer interfaces

Responsibilities
  • Implement and run computational experiments using PyTorch, adapting existing models or developing new ones as research requires
  • Develop performant, distributed pipelines and algorithms for EEG data processing and analysis
  • Perform rigorous quality checks and preprocessing to ensure data integrity
  • Experiment with different parameters to optimize EEG data collection and analysis conditions
  • Collaborate with computational neuroscientists, ML researchers, and engineers on cutting-edge research projects
  • Maintain thorough documentation of experiments, procedures, and results

Required Skills
  • Programming Proficiency: Strong Python skills with ability to implement algorithms and quickly learn ML techniques in PyTorch
  • Computer Science Fundamentals: Solid grasp of CS principles, algorithmic thinking, and problem-solving
  • Full-Stack Familiarity: Experience with web development (React, SQL) is a plus but not required

Nice to Have
  • Experience with deep learning frameworks and techniques
  • Knowledge of signal processing for data preprocessing and analysis
  • Familiarity with EEG or other neuroimaging modalities
  • Previous research or project experience in experimental design

Compensation & Benefits
  • $30/hour USD
  • Corporate housing provided
  • Potential for full-time conversion based on performance

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