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Summer Computational Biology Intern Jobs (NOW HIRING)

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Summer Computational Biology Intern information

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How much do summer computational biology intern jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for summer computational biology intern in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What skills and qualifications are needed to thrive as a summer computational biology intern?

To thrive as a Summer Computational Biology Intern, you need a solid background in biology, statistics, and programming (often with coursework or experience in Python, R, or MATLAB). Familiarity with bioinformatics tools, data analysis pipelines, and version control systems like Git is typically expected. Strong problem-solving abilities, attention to detail, and effective communication help you stand out when collaborating with researchers and interpreting complex data. These skills are crucial for accurately analyzing biological datasets and contributing valuable insights to research teams.

What does a summer computational biology intern do?

A Summer Computational Biology Intern typically works on projects that combine biology, computer science, and mathematics to analyze and interpret biological data. Tasks may include analyzing DNA or protein sequences, developing algorithms, and using software tools to model biological systems. Interns collaborate with researchers to solve real-world problems, gain hands-on experience with data analysis, and often participate in research that can lead to publications or presentations. The internship is an opportunity to apply classroom knowledge in a professional research environment and to explore career paths in computational biology.

What types of projects can a summer computational biology intern expect to work on?

As a Summer Computational Biology Intern, you will typically work on data-driven projects such as analyzing genomic datasets, developing bioinformatics pipelines, or modeling biological processes. These projects are often components of larger research studies and are designed to both advance ongoing scientific inquiries and give you hands-on experience with current computational tools and methods. You'll likely collaborate with researchers, data scientists, and lab personnel, contributing meaningful insights that support the team's broader objectives. This exposure not only enhances your technical skills but also helps you understand how computational approaches impact real-world biological discoveries.
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What cities are hiring for Summer Computational Biology Intern jobs?

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What states have the most Summer Computational Biology Intern jobs?

States with the most job openings for Summer Computational Biology Intern jobs include:

Infographic showing various Summer Computational Biology Intern job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 32% Full Time, 58% Part Time, 1% Temporary, 7% Contract, and 1% Summer. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Computational Neuroscience Intern | Joy Lab

The Jackson Laboratory

Bar Harbor, ME • On-site

$14.50 - $30.51/hr

Internship

Re-posted 3 days ago


The Jackson Laboratory rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

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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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