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Computational Science Jobs in Texas (NOW HIRING)

4423

Computational Scientist, Psychiatry

Dallas, TX

Education Bachelor's Degree In Computer Science, Engineering, Physics, or other field related to biomedical and computational research. * Experience Experience with HPC and/or demonstrated success in ...

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YO AI Labs

Computational Physics Expert - Remote

Austin, TX · Remote

$80 - $100/hr

Demonstrate the use of Codex, Claude Science, Claude Code, and Claude Cowork for advanced technical ... Computational Physics * Python * AI Coding Agents * Codex * Claude Science * Claude Code * Claude ...

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How much do computational science jobs pay per year?

As of Aug 26, 2026, the average yearly pay for computational science in Texas is $77,429.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,200.00 and $87,100.00 per year, depending on experience, location, and employer.

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 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 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 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.

Is computational science a good career?

Computational science is a viable career that involves using computer models, simulations, and data analysis to solve complex scientific problems. It typically requires strong skills in programming, mathematics, and domain knowledge, and offers opportunities in research, industry, and academia with competitive salaries and growth potential.

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 technology, healthcare, finance, or government, 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 are popular job titles related to Computational Science jobs in Texas?

For Computational Science jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Computational Science jobs in Texas look for?

The top searched job categories for Computational Science jobs in Texas are:

What cities in Texas are hiring for Computational Science jobs?

Cities in Texas with the most Computational Science job openings:

Computational Science jobs near you
Infographic showing various Computational Science job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution, with an average salary of $77,429 per year, or $37.2 per hour.

Jackson Endowed Chair in Computational Geosciences

Austin, TX • On-site

The University of Texas at Austin
Education • 10K+ employees

8.3

Company rating: 8.3 out of 10

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129th of 623 rated colleges and universities

People enjoy working here

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Learn more about The University of Texas at Austinexternal

Full-time

Re-posted 19 days ago

Job description

Description
The Department of Earth and Planetary Sciences (EPS) and the Oden Institute for Computational Engineering & Sciences at The University of Texas at Austin (UT) seek to hire a Professor at full, tenured rank for the Jackson Endowed Chair in Computational Geosciences.
We seek an outstanding scholar who will conduct cutting-edge research to develop, advance, and apply innovative and transformational computational approaches in the geosciences, broadly defined. The successful candidate will be appointed jointly between EPS and the Oden Institute, with 50% of the candidate's teaching dedicated to EPS's undergraduate and graduate teaching mission, and 50% of the teaching in the Oden Institute's graduate program in Computational Science, Engineering and Mathematics. We thus seek a candidate whose research and teaching skills lie at the forefront of both the computational sciences and the Earth and planetary sciences.
The Oden Institute is an interdisciplinary unit that draws its faculty from across five of UT's schools and colleges. As one of the global leaders in interdisciplinary computational science, engineering, and mathematics, the Oden Institute's mission is to provide the interdisciplinary environment that enables outstanding research, fosters high-impact collaborations, and advances graduate education in the field of computational science and engineering.
As part of the Jackson School of Geosciences (www.jsg.utexas.edu), the Dept. of Earth and Planetary Sciences (https://eps.jsg.utexas.edu/) is a leading department combining interdisciplinary scope with excellence. EPS has over 50 faculty and a community of research scientists with a broad range of specialties, as well as access to outstanding research facilities and support. The Jackson School is nationally ranked in the Earth Sciences (No. 4), with three subdisciplines ranking in the top 5.
JSG and Oden also partner with other UT entities including within the Cockrell School of Engineering, the College of Natural Sciences, the Texas Advanced Computing Center, the Center for Planetary Systems Habitability, and the Center for Space Research, and maintain extensive external partnerships nationally and internationally. The University of Texas at Austin is an Equal Opportunity Employer located in a thriving metropolitan area with a dynamic, multicultural community of 2.5 million people.
Qualifications
A Ph.D. is required at the time of appointment.
Application Instructions
The successful applicant is expected to establish a vibrant, externally funded research program. Interested applicants should submit a cover letter, CV including list of publications, three page research statement including a broader vision for computational geoscience, a teaching and mentoring statement, and a list of three individuals who would be able to provide letters of reference. Submit copies of these materials online via Interfolio. Review of applications will begin August 31, 2026, and will continue until the position is filled. Questions concerning the search can be addressed to Patrick Heimbach (heimbach@utexas.edu) or Thorsten Becker (twb@ig.utexas.edu), and about the application and submissions process to EPSoffice@jsg.utexas.edu.

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