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Computational Science Jobs (NOW HIRING)

The ideal candidate is an independent thinker with strong computational and quantitative skills, and the ability to collaborate closely with both experimental and computational scientists. You will ...

The ideal candidate is an independent thinker with strong computational and quantitative skills, and the ability to collaborate closely with both experimental and computational scientists. You will ...

Computational Scientist

San Francisco, CA · On-site

$150K - $250K/yr

About the Role We're hiring a Computational Scientist to help curate, build, and scale Tamarind's library of AI-powered drug discovery tools. In this role, you'll work closely with the founders and ...

PhD degree in quantitative field (e.g., Computational Biology, Bioinformatics, Computer Science, Statistics, Mathematics) or in the physical or life sciences (e.g., Chemistry, Biology) with a strong ...

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Computational Science information

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$56.5K

$83.1K

$98K

How much do computational science jobs pay per year?

As of Jul 16, 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 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.

Does computational biology pay well?

Computational biology is a specialized field within computational science that often offers competitive salaries, especially for those with advanced degrees and strong programming and data analysis skills. Salaries can vary based on experience, location, and industry, with roles in biotech, pharmaceuticals, and research institutions typically paying higher wages.

Is computational science a good career?

Computational science is a growing field that involves using computer models, simulations, and data analysis to solve complex scientific problems. It offers opportunities in research, industry, and academia, often requiring strong programming skills and knowledge of scientific principles. Job prospects are generally favorable with competitive salaries and demand for interdisciplinary expertise.

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, simulations, and algorithms 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 or decision-making.
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:
Infographic showing various Computational Science job openings in the United States as of July 2026, with employment types broken down into 2% Internship, 70% Full Time, 25% Part Time, 1% Temporary, 1% Contract, and 1% Summer. Highlights an 70% Physical, 1% Hybrid, and 29% Remote job distribution, with an average salary of $83,109 per year, or $40 per hour.

Tenured or Tenure-Track Faculty Position, Fall 2026 - Computational Medicine, UT Austin

Oden Institute for Computational Engineering and Sciences

Austin, TX • On-site

Full-time

Re-posted 17 days ago


Job description

Description
The Oden Institute for Computational Engineering and Sciences and the Dell Medical School at The University of Texas at Austin have an opening for a tenured or tenure-track faculty position in Computational Medicine. We are particularly interested in recruiting a colleague whose research program combines mathematical, computational, and physical approaches to solving problems in medicine. Example areas include, but are not limited to, medical imaging, neurology, pediatrics, psychiatry, cardiovascular science, and oncology.
The Oden Institute (https://www.oden.utexas.edu/) is a unique interdisciplinary research and educational organization focused on transforming science, engineering, and medicine through the development and application of computation. Research programs at the Oden Institute are diverse and build upon the mathematical foundations for predictive science, data science, machine learning, and (in particular) physics-based modeling using state-of-the-art computing platforms. The Oden Institute also has strong partnerships with medical institutions across Texas, including MD Anderson Cancer Center, UT Southwestern Medical Center, the Texas Heart Institute, and Health Science Centers at Houston and San Antonio.
The Dell Medical School (https://dellmed.utexas.edu/) is the anchor of The University of Texas at Austin Medical Center. The medical center will feature a new, state-of-the-art hospital at the southern edge of UT Austin's campus. When combined with the Dell Medical School's established reputation for innovation in medical education and the world-renowned research base at UT Austin, the UT Austin Medical Center provides the setting to position Austin as a premier destination for healthcare. The successful candidate will have the unique opportunity to bridge an established research institute with a growing medical school and a new world-class medical center.
This position is open to applicants at all ranks: assistant, associate, and full professor, including the possibility of appointment as a chaired professor for candidates with exceptional qualifications. The candidate will be jointly appointed in the Oden Institute and the Dell Medical School. The successful candidate will have teaching duties in the Oden Institute's Computational Science, Engineering and Mathematics graduate program and will be expected to participate in training and mentoring of medical students, residents and fellows at Dell Medical School.
Qualifications
Candidates must have a Ph.D. degree in a quantitative science or engineering discipline, or an MD/Ph.D., with an outstanding record of research accomplishments, publications, and external funding commensurate with their academic stage. In addition, a track-record of innovative application of computational methods and/or AI/ML to medicine and health or medically relevant biological problems is highly desirable. The successful candidate must be qualified to teach graduate classes in the area of computational science, engineering and mathematics. More established candidates are also expected to have a successful record of mentoring leaders in computational medicine and a commitment to professional service. The successful applicant will be expected to develop an externally sponsored research program, mentor graduate students, collaborate with other faculty, and be involved in service to the university and profession.
Application Instructions
Interested applicants should submit the following materials: (1) a cover letter, (2) curriculum vitae, (3) research statement (max 4 pages), and (4) teaching statement (max 2 pages). Additionally, (5) candidates for an assistant or associate professor position must include three reference letters as part of their application packet. Candidates for full professor must provide a list of three reference names but will not submit reference letters.
Candidates should address their submission to the Computational Medicine Faculty Search Committee. Review of applications will continue until an appropriate candidate is identified.
The successful candidate will be required to complete an Employment Eligibility Verification form and provide documents to verify identity and eligibility to work in the USA. A security sensitive background check will be conducted on the applicant selected.
Please address questions to Professor Taylor (taylorca@utexas.edu) or Professor Yankeelov (thomas.yankeelov@utexas.edu), Computational Medicine Faculty Search Committee Co-Chairs. For application questions, contact Ruth Park (ruth.park@oden.utexas.edu).