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Computational Modeling Internship Jobs (NOW HIRING)

Build and apply classification models, clustering, and other ML/AI approaches to surface insight ... relevant internship experience and a proven track record of leveraging analytics to drive ...

... internship opportunities. At UA Little Rock, we prepare our more than 8,900 students to be ... The Extra Help Assistant will help develop socio-computational models to advance our understanding ...

Represent Computational Agronomy in cross-functional, scientific, and external forums. This is a ... model solutions. * Experience coordinating contractors, interns, external researchers, or academic ...

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Computational Modeling Internship information

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How much do computational modeling internship jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for computational modeling internship 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 is a computational modeling internship?

A Computational Modeling Internship is a temporary position where students or recent graduates work with organizations to develop and use computer-based models to simulate real-world systems, processes, or phenomena. Interns in this role typically use programming, mathematics, and data analysis techniques to help solve complex problems in fields like engineering, biology, physics, or finance. The internship provides hands-on experience in model development, validation, and interpretation, often supporting research or product development projects. It is an opportunity to gain practical skills, collaborate with professionals, and contribute to innovative solutions.

What types of projects and collaborations can I expect during a computational modeling internship?

During a Computational Modeling Internship, you can expect to work on projects involving data analysis, simulation, and model development to solve real-world problems in fields like engineering, biology, or physics. Interns often collaborate closely with multidisciplinary teams, including researchers, software engineers, and data scientists. You'll likely contribute to ongoing research or product development by running simulations, interpreting results, and presenting findings to team members. This collaborative environment helps interns build both technical expertise and communication skills while gaining exposure to various aspects of computational modeling.

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

To thrive as a Computational Modeling Intern, you need a solid background in mathematics, programming (often Python or MATLAB), and familiarity with numerical methods, typically supported by coursework in computational science or engineering. Experience with modeling software, simulation tools, and version control systems like Git is highly valued. Strong analytical thinking, attention to detail, and effective communication set outstanding candidates apart. These skills are crucial for accurately developing, interpreting, and presenting complex models that inform research and decision-making.

What is the difference between Computational Modeling Internship vs Data Analyst Internship?

AspectComputational Modeling InternshipData Analyst Internship
Required SkillsProgramming, mathematical modeling, simulation toolsData analysis, statistics, visualization tools
Work EnvironmentResearch labs, tech companies, academiaBusiness, finance, healthcare sectors
Common Industry UsageEngineering, scientific research, simulation projectsBusiness intelligence, market analysis, reporting

While both internships involve data handling and technical skills, Computational Modeling Internships focus on developing and applying mathematical models and simulations, often in research or scientific contexts. Data Analyst Internships emphasize analyzing datasets to extract insights for business decisions. The choice depends on your career goals: research and modeling or data-driven business analysis.

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Infographic showing various Computational Modeling Internship job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Computational Research Intern (2027)

Indianapolis, IN • On-site

Indiana Biosciences Research Institute Inc
Scientific Research and Development Services • 11 - 50 employees

Internship

Posted 17 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 simulations 

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. 
  • 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.