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Computational Modeling Internship Jobs (NOW HIRING)

$16/hr

... internship focused on developing ... computational models of the human postural system. This position offers hands-on experience in ...

... 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 ...

... 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 ...

This internship presents a unique opportunity to apply your knowledge of physical principles to ... Familiarity with computational modeling and simulation tools (e.g., MATLAB, Python). * Excellent ...

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How much do computational modeling internship jobs pay per hour?

As of Jul 11, 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 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.

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.
More about Computational Modeling Internship jobs
What cities are hiring for Computational Modeling Internship jobs? Cities with the most Computational Modeling Internship job openings:
What are the most commonly searched types of Computational Modeling jobs? The most popular types of Computational Modeling jobs are:
What states have the most Computational Modeling Internship jobs? States with the most job openings for Computational Modeling Internship jobs include:
Infographic showing various Computational Modeling Internship job openings in the United States as of July 2026, with employment types broken down into 2% Internship, 71% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 70% Physical, 1% Hybrid, and 29% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Flatiron Research Fellow, Developmental Dynamics, Center for Computational Biology

Flatiron Institute

NY โ€ข On-site

Full-time

Re-posted 28 days ago


Job description

Description
The Center for Computational Biology (CCB) of the Simons Foundation's Flatiron Institute is actively seeking enthusiastic, full-time post-doctoral Flatiron Research Fellows to join its Developmental Dynamics group.
The goal at CCB is to advance the understanding of fundamental and historically challenging biological processes by developing theory, innovative modeling tools for large-scale biophysical simulations, and computational frameworks for analyzing increasingly large and complex experimental datasets. Living systems are built hierarchically; as such, CCB's research activities span several scales of biological organization, bridging the gap between microscopic detail and large-scale behaviors, and providing natural continuity between our groups' efforts. CCB currently comprises more than 45 research and data scientists at career stages from recent Ph.D. graduates through senior scientists, as well as visiting scientists, guest researchers, graduate students, interns, and administrative support staff. For a full description of CCB research areas and scientific staff, please see our website.
The Developmental Dynamics group combines experiments, theory and computing to elucidate the contributions of encoded genomic instructions and self-organizing physical mechanisms to embryonic development. Its theoretical and computational work is designed to integrate and abstract rapidly accumulating heterogeneous datasets, to propose critical tests of multiscale regulatory mechanisms, and to guide our own genetic and imaging experiments. The group's research is organized around three main themes: the mechanistic modeling of pattern formation and morphogenesis; the synthesis and decomposition of developmental trajectories; and the modeling of human developmental defects.
We are looking for candidates interested in data-driven modeling of biological systems, especially in the context of behavioral changes during postembryonic development. We have devised a throughput approach for recording such changes in Drosophila and are evaluating a range of data analysis and modeling for data mining.
POSITION DESCRIPTION
Flatiron Research Fellows in CCB are individuals at the postdoctoral level with backgrounds in one or more of the following areas: computational biology, computer science, applied mathematics, computational biology, biophysics, computer science, engineering, mathematical physics, or related disciplines.
Reporting to Research Scientists, Data Scientists or the Center Director, as appropriate, Fellows are expected to carry out an active research program that can be independently directed and/or involve substantial collaboration with other members of CCB or the Flatiron Institute. In addition to their research, Fellows help build the rich scientific community at CCB and the Flatiron Institute by participating in seminars, colloquia, and group meetings; developing their software, mathematical and computational expertise through internal education opportunities; and sharing their knowledge through scientific publications, presentations, and/or software releases, with the financial support of the Institute. Fellows have access to the Flatiron Institute's powerful scientific computing resources.
Responsibilities include but are not limited to:
  • Performing theoretical and computational research
  • Developing, implementing and maintaining scientific software
  • Participating in the organization of CCB and Flatiron-wide collaborative activities including seminars, workshops and meetings
  • Participating in the preparation of manuscripts for publication and of presentations at scientific conferences
  • Assisting in student mentorship
  • Sharing expertise and providing training and guidance to CCB staff and visitors as needed.

FRF positions are generally two-year appointments that can be renewed for a third year, contingent on performance. Fellows will be based, and have a principal office or workspace, at the Simons Foundation's offices in New York City. Fellows may also be eligible for subsidized housing within walking distance of the Flatiron Institute.
For more information about careers at the Flatiron Institute, please click here.
Qualifications
Education
  • Ph.D. in a relevant field (applied mathematics, statistics, computational biology, biophysics, computer science, engineering, mathematical physics, or related disciplines)

Related Skills & Other Requirements
  • Demonstrated abilities in mathematical modeling, analysis and/or scientific computation, scientific software and algorithm development, data analysis and inference, and image analysis
  • Ability to do original and outstanding research in computational biology, and expertise in computational methods, data analysis, software and algorithm development, modeling machine learning, and scientific simulation
  • Ability to work well in an interdisciplinary environment, and to collaborate with experimentalists
  • Strong oral and written communication, data documentation, and presentation skills

Compensation and Benefits
  • The full-time annual compensation for this position is $91,000.
  • In addition to competitive salaries, the Simons Foundation provides employees with an outstanding benefits package.

Application Instructions
To apply, please submit the following via the application portal:
  • Cover Letter, which should include a summary of applicants' most significant contributions in graduate school
  • Curriculum Vitae with publications list and, if relevant, links to software
  • Research Statement of no more than three (3) pages describing the applicant's past important results, current and future research interests which may include both scientific topics and algorithm and software development, and potential synergies with activities at CCB
  • Letters of Recommendation, at least two (2).

Applications for available positions that begin in 2026 will generally be reviewed beginning November 2025, and will be considered on a rolling basis until the positions are filled.
SELECTION CRITERIA
Applications will be evaluated based on:
  • Past research accomplishments
  • The proposed research program
  • The synergy of applicant's expertise and research proposal topic with existing CCBA staff and research programs, and potential to cross boundaries between CCB groups and/or the Flatiron Institute's other research centers.

Any queries about the application process or about CCB should be directed to ccbjobs@flatironinstitute.org. Queries about CCB may also be directed to scientific staff at CCB.