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Genomics Intern Jobs (NOW HIRING)

HR Coordinator

Fremont, CA · On-site

$28 - $32/hr

Our mission is to continuously drive the scale of genomic information to enable unprecedented ... intern program, monitoring/responding to employee questions, employment verifications, and ...

Helpdesk Intern

Houston, TX · On-site

$14.25 - $19/hr

Our team is dedicated to advancing the field of genomics through innovation, research, and a ... Position Overview We are looking for an enthusiastic IT Helpdesk Intern to support our internal ...

Eurofins is one of the market leaders in certain testing and laboratory services for genomics ... The intern will work with the BII team to support the development of assigned business intelligence ...

Operations Intern Are you ready to launch your career in the exciting world of clinical trials and ... genomics, as well as related specimen collection and logistics services, CellCarta supports the ...

Operations Intern

Naperville, IL · On-site

$17 - $18/hr

Operations Intern Are you ready to launch your career in the exciting world of clinical trials and ... genomics, as well as related specimen collection and logistics services, CellCarta supports the ...

HR Coordinator

Fremont, CA · On-site

$28 - $32/hr

... intern program, monitoring/responding to employee questions, employment verifications, and ... Knowledge of HR best practices and employment/labor laws is a plus At Ultima Genomics, your base ...

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Genomics Intern information

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How much do genomics intern jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for genomics 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 does a Genomics Intern do?

A Genomics Intern assists researchers and scientists in studying genes, DNA, and their functions. Their tasks often include preparing samples, running laboratory experiments, analyzing genetic data, and helping with research documentation. Genomics interns may also work with bioinformatics tools to interpret genomic datasets. This role provides hands-on experience in a lab setting and exposure to real-world genetic research projects.

What types of projects can a Genomics Intern expect to work on, and how do they contribute to the larger research team?

As a Genomics Intern, you can expect to assist with projects such as DNA sequencing, data analysis, and genomic annotation. Interns often collaborate with bioinformaticians, laboratory technicians, and researchers to process samples, manage datasets, and interpret results. Your contributions help advance ongoing research by supporting data quality control, preparing reports, and sometimes participating in experimental design. This collaborative environment offers a great opportunity to learn advanced techniques and understand how multidisciplinary teams drive scientific discovery.

What are the key skills and qualifications needed to thrive as a Genomics Intern, and why are they important?

To thrive as a Genomics Intern, a solid understanding of molecular biology, genetics, and bioinformatics is typically required, often supported by coursework or a degree in life sciences. Familiarity with tools such as Python or R for data analysis, as well as experience with genome databases and sequencing technologies, is highly valuable. Attention to detail, analytical thinking, and effective communication skills help interns interpret complex data and collaborate within research teams. These competencies are crucial for accurately analyzing genomic information and contributing meaningful insights to scientific projects.

What is the difference between Genomics Intern vs Bioinformatics Intern?

AspectGenomics InternBioinformatics Intern
Required CredentialsUndergraduate or graduate in biology, genetics, or related fieldsUndergraduate or graduate in computer science, biology, or related fields
Work EnvironmentLaboratories, research facilities, biotech companiesComputational labs, research institutions, biotech companies
Industry UsageGenomics research, genetic testing, biotech R&DData analysis, software development, genomic data interpretation

While both roles involve working with genetic data, a Genomics Intern typically focuses on laboratory-based experiments and sample analysis, whereas a Bioinformatics Intern emphasizes computational data analysis and software tools. Both positions often require a background in biology or computer science and are common in biotech and research settings.

More about Genomics Intern jobs
What cities are hiring for Genomics Intern jobs? Cities with the most Genomics Intern job openings:
What are the most commonly searched types of Genomics jobs? The most popular types of Genomics jobs are:
What states have the most Genomics Intern jobs? States with the most job openings for Genomics Intern jobs include:
Infographic showing various Genomics Intern job openings in the United States as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, 1% Temporary, and 2% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $35,436 per year, or $17 per hour.

Computational Neuroscience Intern | Joy Lab

The Jackson Laboratory

Bar Harbor, ME • On-site

$14.50 - $30.51/hr

Internship

Posted 20 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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