1

Computational Research Jobs (NOW HIRING)

We are seeking researchers from computational STEM disciplines-as well as computationally intensive ... Design complex, research-oriented benchmark tasks inspired by real-world scientific workflows ...

next page

Showing results 1-20

Computational Research information

See salary details

$40

$54

$74

How much do computational research jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for computational research in the United States is $54.93, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $73.56 per hour, depending on experience, location, and employer.

What is computational research?

Computational research involves using computer-based models, simulations, and data analysis to solve complex scientific and engineering problems. Researchers in this field use algorithms, software, and high-performance computing to analyze large datasets, perform simulations, and make predictions. This approach is widely used across disciplines such as physics, biology, chemistry, and engineering to complement experimental and theoretical work.

What are some common challenges faced by professionals in computational research, and how can they be addressed?

Professionals in computational research often encounter challenges such as managing large datasets, optimizing algorithms for efficiency, and ensuring reproducibility of results. Collaborating effectively with interdisciplinary teams—such as domain scientists, software engineers, and data analysts—can also be complex due to differing technical backgrounds. To address these challenges, it's essential to stay updated on the latest tools and best practices, document code thoroughly, and communicate regularly with collaborators to align goals and methodologies. Many organizations also offer mentorship programs and workshops to support ongoing professional development in these areas.

What are the key skills and qualifications needed to thrive in computational research, and why are they important?

To excel in Computational Research, a strong background in mathematics, computer science, and domain-specific knowledge is essential, often supported by advanced degrees such as a master's or PhD. Proficiency with programming languages (like Python, R, or C++), data analysis tools, and high-performance computing systems is typically required. Critical thinking, problem-solving, and effective collaboration are crucial soft skills for success in interdisciplinary research environments. These skills and qualities are important because they enable researchers to design innovative solutions, analyze complex data, and drive scientific discovery.

What is the difference between Computational Research vs Data Scientist?

AspectComputational ResearchData Scientist
Required CredentialsAdvanced degrees in computer science, mathematics, or related fieldsDegree in statistics, computer science, or related fields; certifications like SAS or Python
Work EnvironmentResearch labs, academic institutions, R&D departmentsCorporate settings, tech companies, finance, healthcare
Industry UsagePrimarily in academia, government, and research institutionsWidely in business, tech, and consulting sectors

Computational Research focuses on developing new algorithms and models for scientific discovery, often in academic or research settings. Data Scientists analyze and interpret large datasets to inform business decisions. While both roles require strong technical skills and programming knowledge, Computational Research emphasizes theoretical development, whereas Data Scientists focus on practical data analysis and insights.

More about Computational Research jobs

What are the most commonly searched types of Computational Research jobs?

The most popular types of Computational Research jobs are:

Infographic showing various Computational Research job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $114,249 per year, or $54.9 per hour.

Internship

Posted 9 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.

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.
  • 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.