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$90.5K

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$143.5K

How much do computational research scientist jobs pay per year?

As of Sep 9, 2026, the average yearly pay for computational research scientist in the United States is $132,455.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,000.00 and $143,000.00 per year, depending on experience, location, and employer.

What is a computational research scientist?

Computational research scientists are professionals who use advanced computational techniques, algorithms, and simulations to solve complex scientific or engineering problems. They often work at the intersection of computer science, mathematics, and a specific scientific discipline such as biology, physics, or chemistry. Their work involves developing and applying models, analyzing large datasets, and performing simulations to gain insights that would be difficult or impossible to achieve through traditional experimental methods alone. Computational research scientists typically work in academia, industry, or government research institutions.

What are the key skills and qualifications needed to thrive as a computational research scientist?

To thrive as a Computational Research Scientist, you need a strong background in mathematics, computer science, and domain-specific scientific fields, often supported by an advanced degree such as a Ph.D. or Master's. Expertise in programming languages (such as Python, R, or C++), data analysis tools, high-performance computing, and familiarity with relevant modeling or simulation software is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret results and collaborate with interdisciplinary teams. These skills are crucial for developing innovative computational solutions and advancing scientific research.

What are some common challenges faced by computational research scientists when working on interdisciplinary projects?

Computational Research Scientists often collaborate with experts from diverse fields like biology, physics, or engineering, which can present challenges in aligning methodologies and communicating technical concepts across disciplines. Navigating differences in data formats, modeling approaches, and research priorities requires strong communication skills and adaptability. Successfully addressing these challenges can lead to innovative solutions and broaden a scientist's expertise, but it also means that ongoing learning and clear documentation are essential parts of the role.

What is the difference between Computational Research Scientist vs Data Scientist?

AspectComputational Research ScientistData Scientist
Required CredentialsAdvanced degrees in computer science, physics, or related fieldsBachelor's or master's in data science, statistics, or related fields
Work EnvironmentResearch labs, academia, R&D departmentsBusiness, tech companies, analytics teams
Employer & Industry UsageResearch institutions, universities, tech companiesFinance, healthcare, marketing, tech firms
Common Search & Comparison IntentUnderstanding research-focused roles involving computationAnalyzing data to inform business decisions

Computational Research Scientists focus on developing algorithms and models for scientific research, often working in academia or research labs. Data Scientists analyze large datasets to extract insights for business applications. While both roles require strong technical skills, their work environments and primary goals differ significantly.

What cities are hiring for Computational Research Scientist jobs?

Cities with the most Computational Research Scientist job openings:

What states have the most Computational Research Scientist jobs?

States with the most job openings for Computational Research Scientist jobs include:

What are popular job titles related to Computational Research Scientist jobs?

For Computational Research Scientist jobs, the most frequently searched job titles are:

Infographic showing various Computational Research Scientist job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 85% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $132,455 per year, or $63.7 per hour.

Computational Research Intern (2027)

Indianapolis, IN • On-site

Indiana Biosciences Research Institute Inc
Scientific Research and Development Services • 11 - 50 employees
Learn more about Indiana Biosciences Research Institute Incexternal

Internship

Posted 12 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.

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