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Summer Genomic Intern Jobs (NOW HIRING)

Summer Genomic Intern information

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$9

$17

$26

How much do summer genomic intern jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for summer genomic intern in the United States is $17.87, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $21.15 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a summer genomic intern, and why are they important?

To thrive as a Summer Genomic Intern, you typically need a background in biology or genetics, basic laboratory skills, and familiarity with genomic concepts, often gained through undergraduate coursework. Experience with bioinformatics tools, data analysis software (such as R or Python), and next-generation sequencing platforms is highly valuable. Strong attention to detail, critical thinking, and effective communication help interns collaborate and solve problems in research environments. These skills ensure interns can contribute meaningfully to genomic projects, interpret complex data, and adapt to the fast-evolving field of genomics.

What is a summer genomic intern?

Summer Genomic Interns are students or early-career professionals who participate in temporary internship programs focused on genomics research during the summer months. These roles typically involve working alongside experienced scientists, assisting with laboratory experiments, data analysis, or bioinformatics projects related to genetics and genomics. The internship provides hands-on experience, mentorship, and exposure to cutting-edge research techniques. Summer Genomic Interns often use this opportunity to deepen their knowledge of genetics, gain practical skills, and explore possible career paths in genomics or related fields.

What types of projects and collaborations can a summer genomic intern expect during their internship?

As a Summer Genomic Intern, you can expect to work on projects involving data analysis, bioinformatics pipelines, and possibly wet-lab experiments, depending on the organization. Interns often collaborate closely with researchers, lab technicians, and other interns, gaining hands-on experience with genomic datasets and tools like Python, R, or specialized sequencing software. Regular meetings and team check-ins are common, providing opportunities to discuss progress, troubleshoot challenges, and learn from experienced scientists. This collaborative environment helps interns build professional networks and develop both technical and communication skills.
More about Summer Genomic Intern jobs
What cities are hiring for Summer Genomic Intern jobs? Cities with the most Summer Genomic Intern job openings:
What states have the most Summer Genomic Intern jobs? States with the most job openings for Summer Genomic Intern jobs include:
Infographic showing various Summer Genomic Intern job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 30% Full Time, 59% Part Time, 1% Temporary, 8% Contract, and 1% Summer. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $37,171 per year, or $17.9 per hour.

Computational Neuroscience Intern | Joy Lab

The Jackson Laboratory

Bar Harbor, ME • On-site

$14.50 - $30.51/hr

Internship

Re-posted 7 hours ago


The Jackson Laboratory rating

8.3

Company rating: 8.3 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

33rd 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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