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Computational Science Jobs (NOW HIRING)

Accenture

AI/ML Computational Science Manager

Redmond, WA · On-site

$94K - $293K/yr

As an Artificial Intelligence and Machine Learning Computational Science professional, you will play a pivotal role in formulating real-world problems into practical, efficient, and scalable AI and ...

Accenture

AI/ML Computational Science Manager

Hartford, OH · On-site

$94K - $293K/yr

As an Artificial Intelligence and Machine Learning Computational Science professional, you will play a pivotal role in formulating real-world problems into practical, efficient, and scalable AI and ...

GDIT

HPC Computational Scientist

Center, MS · Hybrid

$76K - $103K/yr

Science and Research Job Qualifications: Skills: Computer Programming, High Performance Computing ... As a HPC Computational Scientist supporting High Performance Computing Modernization Program (HPCMP ...

Accenture

$70K - $205K/yr

As an Artificial Intelligence and Machine Learning Computational Science professional, you will play a pivotal role in formulating real-world problems into practical, efficient, and scalable AI and ...

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Computational Science information

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$56.5K

$83.1K

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How much do computational science jobs pay per year?

As of Jun 26, 2026, the average yearly pay for computational science in the United States is $83,109.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $93,500.00 per year, depending on experience, location, and employer.

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

Computational scientists often collaborate with experts from fields like biology, physics, or engineering, which can present challenges in bridging gaps in domain-specific knowledge and communication styles. Adapting computational models to fit the unique requirements of different disciplines, while ensuring accuracy and efficiency, is a frequent hurdle. Additionally, managing large datasets and integrating diverse computational tools requires strong technical and organizational skills. Open communication and a willingness to learn from colleagues are key to overcoming these challenges and achieving successful project outcomes.

What are the key skills and qualifications needed to thrive as a Computational Scientist, and why are they important?

To thrive as a Computational Scientist, you need a strong background in mathematics, programming (such as Python, C++, or MATLAB), and domain-specific scientific knowledge, often supported by an advanced degree in a relevant field. Familiarity with high-performance computing (HPC) systems, parallel processing frameworks, and scientific data analysis tools is typically required. Excellent problem-solving skills, collaboration, and effective communication set top candidates apart in interdisciplinary research environments. These skills and qualities are crucial for driving innovative scientific discovery and translating complex data into actionable insights.

What is the difference between Computational Science vs Data Scientist?

AspectComputational ScienceData Scientist
Required CredentialsDegree in science, engineering, or computational fields; often requires advanced degreesDegree in statistics, computer science, or related fields; often requires knowledge of programming and analytics
Work EnvironmentResearch labs, universities, industry R&D departmentsTech companies, finance, healthcare, consulting firms
Industry UsageScientific research, simulation, modelingData analysis, predictive modeling, business insights
Common Search/ComparisonYesYes

Computational Science focuses on developing models and simulations to solve scientific and engineering problems, often requiring advanced degrees and research environments. Data Scientists analyze large datasets to extract insights and support decision-making, typically working in business or tech sectors. While both roles involve programming and data handling, their primary goals and work settings differ significantly.

What can you do with a computational science degree?

A computational science degree prepares individuals for roles such as computational scientist, data analyst, simulation engineer, or research scientist. Graduates often work in industries like healthcare, finance, aerospace, and academia, utilizing skills in programming, modeling, and data analysis to solve complex problems. Knowledge of tools like Python, MATLAB, or high-performance computing environments is also valuable.

What is computational science?

Computational science is an interdisciplinary field that uses advanced computing capabilities to understand and solve complex problems. It combines elements of mathematics, computer science, and domain-specific knowledge to create simulations, analyze data, and model physical, biological, or social systems. Computational scientists develop algorithms and use high-performance computing to tackle problems that are difficult or impossible to solve analytically. This field is essential in areas such as climate modeling, drug discovery, engineering, and physics.

What does a computational scientist do?

A computational scientist develops and applies computer models, algorithms, and simulations to analyze complex scientific problems across fields like physics, biology, and engineering. They often use programming languages, high-performance computing, and data analysis tools to interpret large datasets and support research decisions.

What is computational science salary?

Computational science professionals typically earn a median salary ranging from $70,000 to $120,000 annually, depending on experience, education, and location. Advanced skills in programming, data analysis, and familiarity with scientific software can influence earning potential.

Is computational science a good degree?

Computational science is a valuable degree for careers in research, data analysis, and simulation-based roles across industries such as engineering, finance, and technology. It typically requires strong skills in programming, mathematics, and problem-solving, and can lead to well-paying jobs with opportunities for advancement. The degree prepares students for interdisciplinary work involving scientific computing tools and methods.
More about Computational Science jobs
What cities are hiring for Computational Science jobs? Cities with the most Computational Science job openings:
What states have the most Computational Science jobs? States with the most job openings for Computational Science jobs include:
What job categories do people searching Computational Science jobs look for? The top searched job categories for Computational Science jobs are:
Computational Science jobs near you
Infographic showing various Computational Science job openings in the United States as of June 2026, with employment types broken down into 9% Full Time, 82% Part Time, and 9% Contract. Highlights an 69% Physical, 1% Hybrid, and 30% Remote job distribution, with an average salary of $83,109 per year, or $40 per hour.

Director, Institute for Computational Engineering and Sciences and Professor

The University of Texas at Austin

Austin, TX • On-site

Full-time

Posted 7 days ago

University Of Texas at Austin rating

8.1

Company rating: 8.1 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

131st of 539 rated colleges and universities

Job description

Description
The University of Texas at Austin invites applications and nominations for the position of Director of the Institute for Computational Engineering and Sciences (ICES). ICES is an organized research unit, reporting directly to the Vice President for Research, dedicated to research and graduate study in computational engineering and science, with a strong core in computational and applied mathematics. The Director must define and communicate effectively a vision and plan for leading ICES to the highest levels of excellence in its mission to provide outstanding interdisciplinary research and graduate programs in computational sciences, engineering, and information technology.
Over one hundred faculty members from five schools and colleges across the UT Austin campus participate in ICES, and are organized into 18 research centers and groups. ICES programs include a graduate degree program in Computational Science, Engineering and Mathematics, a postdoctoral fellowship program, a visiting scholars program, a research awards program for UT Austin faculty, a summer internship program for undergraduate students, and an undergraduate certificate program in computational engineering and science. The Director also oversees a number of endowments that are used to attract outstanding faculty members with expertise in computational engineering and science to UT Austin.
Qualifications
The successful applicant is expected to have an internationally recognized record of research and scholarship, and will be appointed as a full professor with tenure holding an endowed chair. The Director should also have demonstrated capabilities and accomplishments in academic leadership, have skills for interacting effectively with both internal and external constituents, and have experience building an environment that encourages diversity in the Institute and the field at large. Candidates should have experience managing a large academic or research enterprise. Fundraising is an important component of the Director's overall responsibilities.
Application Instructions
Review of applications will begin on 1 March 2017, although nominations and applications will be accepted until the position is filled. It is anticipated that the Director will begin service in 2018. All nominations and applications will be treated with the strictest confidence. Interested and qualified individuals should submit a letter of interest and a complete CV.
Questions about the position or the search process should be directed to Dean Sharon L. Wood (swood@utexas.edu), chair of the search committee.
Additional information about the Institute for Computational Engineering and Sciences at The University of Texas at Austin is available at www.ices.utexas.edu
Equal Employment Opportunity Statement
The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.

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