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Intern Bioinformatics Jobs (NOW HIRING)

GE HealthCare

Research Intern

Bellevue, NE · On-site

$45 - $57/hr

Currently enrolled in a Bachelor's degree in Biology, Biostatistics, Bioinformatics, or a related ... As an AI research intern at GEHC, you get to work on the most cutting-edge and exciting projects.

GeneFab

QC EM Tech/Intern

Alameda, CA · On-site

$21.25 - $27.25/hr

The QC Environmental Monitoring (EM) Tech/Intern supports the Quality Control Microbiology function ... GeneFab's technology platform includes bioinformatic-guided discovery of cell type promoters ...

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How much do intern bioinformatics jobs pay per hour?

As of May 28, 2026, the average hourly pay for intern bioinformatics 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 an Intern Bioinformatics job?

An Intern Bioinformatics job involves analyzing biological data using computational tools and algorithms. Interns typically assist in managing large datasets, developing scripts, and running statistical analyses to support research projects. They work closely with bioinformaticians, biologists, and data scientists to interpret genetic, genomic, or proteomic data. This role requires knowledge of programming languages like Python or R, as well as familiarity with databases and bioinformatics tools. It provides hands-on experience in applying computational techniques to solve biological problems.

What are the key skills and qualifications needed to thrive in the Intern Bioinformatics position, and why are they important?

To excel as an Intern Bioinformatics, you should have a foundational understanding of biology, statistics, and computer science, often pursued through relevant coursework or a degree in bioinformatics, computational biology, or a related field. Competence with bioinformatics tools such as BLAST, Python, R, and familiarity with next-generation sequencing data analysis is typically required. Strong analytical thinking, attention to detail, and the ability to communicate complex findings to multidisciplinary teams are valuable soft skills in this position. These abilities are crucial for interpreting biological data accurately, effectively contributing to research projects, and thriving in collaborative scientific environments.

What types of projects or tasks can I expect to work on as a Bioinformatics Intern?

As a Bioinformatics Intern, you can expect to support ongoing research by processing and analyzing large-scale biological datasets, such as genomic or transcriptomic sequences. Your daily tasks might include writing scripts for data analysis, visualizing results, and assisting with the interpretation of findings alongside senior scientists and lab teams. You may also help in maintaining databases, preparing reports, and contributing to publications or presentations. This is a team-oriented role where collaboration with biologists, data scientists, and other researchers is common, offering valuable exposure to real-world scientific workflows and opportunities for hands-on learning.
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Intern Bioinformatics jobs near you
Infographic showing various Intern Bioinformatics job openings in the United States as of May 2026, with employment types broken down into 21% Internship, 1% As Needed, 48% Full Time, 27% Part Time, and 3% Temporary. Highlights an 97% Physical, 2% Hybrid, and 1% Remote job distribution, with an average salary of $35,436 per year, or $17 per hour.
Hourly Data Analyst

Hourly Data Analyst

New Jersey Institute of Technology

Washington, DC • On-site

$15.92 - $20/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Hourly Data Analyst

Department: Computer Science

Reports To: Distinguished Professor, Computer Science

Position Type: Staff

Position Summary: The Hourly Data Analyst will support an NIH R15-funded biomedical research project under the supervision of Dr. Zhi Wei. The position is intended to provide meaningful undergraduate research experience in biomedical data science, computational biology, and bioinformatics while contributing to approved project aims. The intern will assist with literature review, biological information curation, data analysis, implementation and testing of computational methods, and preparation of research summaries or presentations.

Essential Functions:

  • Conduct literature review related to biomedical data science, computational biology, bioinformatics, and relevant biological background information.
  • Collect, organize, and curate prior biological information and publicly available biomedical data relevant to the project.
  • Implement, test, and document basic core functions of proposed computational methods under supervision.
  • Run baseline methods, software tools, and computational experiments as directed by the supervisor or graduate mentor.
  • Assist with simulation of synthetic data and collection, processing, and analysis of real data.
  • Contribute to the development and testing of user-friendly research software, scripts, notebooks, or documentation.
  • Participate in regular research meetings, provide progress updates, and receive guidance from the PI, co-investigator, and graduate mentor.
  • Help prepare research summaries, figures, reports, posters, presentations, or other materials related to the project.

Prerequisite Qualifications:

  • Current undergraduate student in computer science, data science, bioinformatics, biology, mathematics, statistics, engineering, or a related field.
  • Interest in biomedical research, computational biology, bioinformatics, machine learning, data science, or related areas.
  • Ability to work responsibly under supervision, communicate progress, and meet agreed-upon deadlines.
  • Strong attention to detail and willingness to learn new scientific and computational concepts.
  • At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position.

Preferred Qualifications:

  • Prior coursework or experience in programming, data analysis, algorithms, statistics, machine learning, biology, genetics, genomics, or bioinformatics.
  • Experience with Python, R, Linux/command line, Git/GitHub, Jupyter notebooks, or similar tools is helpful but not required.
  • Prior research experience is helpful but not required.

Salary Information: In compliance with the NJ Pay Transparency Law, the hourly rate/range for this position is $15.92-$20.00 (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items.

FLSA: Non-Exempt Part-Time

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