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Computational Science Jobs in Austin, TX (NOW HIRING)

micro1 AI

Computational Biologist - AI Reviewer

Austin, TX · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic customer project. In this role, you'll apply your expertise to help train next ...

Varsity Tutors

Applied Mathematics Tutor

Round Rock, TX · Remote

$18 - $40/hr

Ability to explain modeling techniques for physical systems, approximation methods, and stability analysis while preparing students for engineering, physics, finance, and computational science ...

Varsity Tutors

Applied Mathematics Tutor

Austin, TX · Remote

$18 - $40/hr

Ability to explain modeling techniques for physical systems, approximation methods, and stability analysis while preparing students for engineering, physics, finance, and computational science ...

Varsity Tutors

Applied Mathematics Tutor

San Marcos, TX · Remote

$18 - $40/hr

Ability to explain modeling techniques for physical systems, approximation methods, and stability analysis while preparing students for engineering, physics, finance, and computational science ...

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All JobsComputational Science JobsComputational Science Jobs in Austin, TX

Computational Science information

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$56K

$82.4K

$97.1K

How much do computational science jobs pay per year?

As of Aug 4, 2026, the average yearly pay for computational science in Austin, TX is $82,378.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,800.00 and $92,700.00 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 technology, healthcare, finance, or government, utilizing skills in programming, modeling, and data analysis to solve complex problems. Proficiency in tools like Python, MATLAB, or high-performance computing environments is common in these roles.

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 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 popular job titles related to Computational Science jobs in Austin, TX? For Computational Science jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Computational Science jobs in Austin, TX look for? The top searched job categories for Computational Science jobs in Austin, TX are:
What cities near Austin, TX are hiring for Computational Science jobs? Cities near Austin, TX with the most Computational Science job openings:
Computational Science jobs near you
Infographic showing various Computational Science job openings in Austin, TX as of July 2026, with employment types broken down into 70% Full Time, 28% Part Time, and 2% Contract. Highlights an 71% Physical, 2% Hybrid, and 27% Remote job distribution, with an average salary of $82,378 per year, or $39.6 per hour.

Jackson Endowed Chair in Computational Geosciences

The University of Texas at Austin

Austin, TX • On-site

Full-time

Re-posted 27 days ago

University Of Texas at Austin rating

8.2

Company rating: 8.2 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

138th of 614 rated colleges and universities

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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