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How much do computational biomedical intern jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for computational biomedical intern in the United States is $15.38, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $15.38 per hour, depending on experience, location, and employer.

What is a computational biomedical intern?

A Computational Biomedical Intern is a student or early-career professional who works on applying computational methods, such as data analysis, modeling, or machine learning, to solve problems in biology and medicine. Their responsibilities may include analyzing biomedical data, developing algorithms, or supporting research projects that aim to improve healthcare outcomes. These internships provide hands-on experience in both computational techniques and biomedical sciences, often preparing interns for careers in bioinformatics, systems biology, or medical research. Interns typically work under the supervision of experienced scientists or engineers in academic, hospital, or industry settings.

What types of projects does a computational biomedical intern work on?

As a Computational Biomedical Intern, you may work on projects involving data analysis of clinical or biological datasets, developing algorithms for biomedical image processing, or supporting research with computational modeling. These tasks often require collaboration with multidisciplinary teams, including biologists, clinicians, and software engineers. Gaining hands-on experience in data-driven biomedical research not only enhances your technical skills but also provides valuable exposure to real-world healthcare challenges, setting a strong foundation for future roles in research, data science, or advanced academic studies.

What skills and qualifications are needed to be a computational biomedical intern?

To thrive as a Computational Biomedical Intern, you generally need a background in biomedical sciences, computer science, or a related field, with familiarity in programming languages like Python or R. Experience with bioinformatics tools, data analysis platforms, and possibly coursework or certifications in computational biology are highly valued. Strong problem-solving skills, attention to detail, and effective communication help interns collaborate on interdisciplinary research projects. These competencies enable the intern to analyze complex biomedical data accurately and contribute meaningfully to innovative healthcare solutions.

What are popular job titles related to Computational Biomedical Intern jobs?

For Computational Biomedical Intern jobs, the most frequently searched job titles are:

Infographic showing various Computational Biomedical Intern job openings in the United States as of September 2026, with employment types broken down into 19% Internship, 64% Full Time, 14% Part Time, 1% Temporary, 1% Contract, and 1% Summer. Highlights an 74% Physical, 2% Hybrid, and 24% Remote job distribution, with an average salary of $32,000 per year, or $15.4 per hour.

Computational Research Intern (2027)

Indianapolis, IN โ€ข On-site

Indiana Biosciences Research Institute Inc
Scientific Research and Development Servicesย โ€ขย 11 - 50 employees

Internship

Posted 13 days ago


Key responsibilities

  • Clean, organize, and analyze biomedical datasets using tools such as Python, R, or MATLAB.

  • Create graphs and summaries to make data easier to understand.

  • Support bioinformatics work with genomic, transcriptomic, proteomic, or imaging data.


Job description

IBRI is poised to transform life sciences-and for millions of people, even life itself.

The Opportunity:

The IBRI is seeking motivated undergraduate or graduate students for our Summer Internship Program. Computational Research Interns will gain hands-on experience in a dynamic research environment, contributing to data-driven projects that support translational science and biomedical innovation.

Program Dates: May 17, 2027 - August 6, 2027

Application Deadline: Applications will be accepted through November 30, 2026. For priority consideration, apply by October 15, 2026.

Schedule: 35 hours per week

Stipend: This internship includes a stipend of $9,650 for the full program, disbursed in bi-weekly installments on or before the 7th and 22nd of each month

Responsibilities:

  • Clean, organize, and analyze biomedical datasets using tools such as Python, R, or MATLAB.
  • Create graphs and summaries that make data easier to understand.
  • Support bioinformatics work with genomic, transcriptomic, proteomic, or imaging data.
  • Assist with modeling, machine learning, or workflow automation projects.
  • Document code, methods, and results clearly for the team.
  • Share progress in meetings and collaborate with experimental scientists.
  • Construct, run, and analyze molecular dynamics or quantum chemical simulationsย 

Qualifications:

  • Enrolled in (or recently graduated from) an Indiana university undergraduate and/or graduate program OR having graduated from an Indiana High School.
  • Degree in a field related computational research and/or bioinformatics.
  • Experience in molecular dynamics or quantum chemical simulations.ย 
  • Strong programming skills in Python, R, or similar languages.
  • Familiarity with data analysis, statistics, or bioinformatics tools.
  • Ability to work independently and collaboratively in a research environment.
  • Interest in computational biology/chemistry, biomedical data science, or translational research.
  • Commitment to the full duration of the internship.
  • Excellent organizational and communication skills.

About Us:

The Indiana Biosciences Research Institute (IBRI) is a first-in-class translational medicine institute dedicated to advancing life sciences in the race to eliminate disease and improve human health and life.

By connecting early-stage biotech companies with cutting-edge life science discoveries -and backed by the mission and resources of industry leaders, investors, and philanthropic partners-IBRI is successfully evolving a new, independent model to conquer disease, uniting previously fragmented forces in the quest for cures.

Carefully curating and supporting early-stage companies with investment, talent, and space, IBRI strategically accelerates drug discovery. Our work benefits from the relatively low cost of living and doing business here, allowing more resources to be directed toward science.

Fueled by the same entrepreneurial creativity as the groundbreaking scientific work we support, IBRI's labs advance research across the frontiers of diabetes, metabolic disease, Alzheimer's disease, and rare pediatric diseases. Our ambitious public-private vision cultivates talent while efficiently bridging the gap between research-driven inquiry and profit-driven drug development.

At IBRI, cures are launched on a clear pathway to clinical trials, enabled by the combined resources and experience of our academic and industry partners, without the typical pressure to deliver rapid results for commercialization. IBRI labs pursue breakthroughs that might never happen elsewhere. Breakthroughs are happening here. Our novel financing model ensures that when discoveries are ready for clinical trials, the intellectual property is sold back to industry or spun off, creating a direct stream of revenue.

By every measure, the IBRI model demonstrates a novel approach that delivers rewards. Scientific bench work is nurtured, drug discovery is advanced, workforce development is continuous, investors see returns, and donors see impact. Most importantly, IBRI's structure and portfolio of accomplishments matter to the patients whose lives are improved-or even saved-by this forward-looking approach to life sciences.

IBRI is driven to bring next-generation therapies to market with an understanding of the complex pressures that often bind innovation to economics. After more than a decade, the evidence is clear: IBRI is poised to transform life sciences-and for millions of people, even life itself.

Equal Employment Opportunity:

The IBRI provides equal employment opportunities to all employees and applicants and does not discriminate based on age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability, or any other legally protected status.