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Computational Scientist Jobs in Texas (NOW HIRING)

ExxonMobil

Computational Scientist

Spring, TX · On-site

PhD from a recognized university in Engineering, Applied Mathematics, Geoscience, Computational Science, or a closely related field. * Experience in developing, applying, and analyzing physics-based ...

ExxonMobil

Computational Scientist

Spring, TX

What role you will play in our team We are seeking a highly skilled and motivated Computational Scientist to join our team. This role involves developing and analyzing both physics-based and data ...

ExxonMobil

Computational Scientist

Spring, TX · On-site

What role you will play in our team We are seeking a highly skilled and motivated Computational Scientist to join our team. This role involves developing and analyzing both physics-based and data ...

4423

Computational Scientist, Psychiatry

Dallas, TX · On-site

JOB SUMMARY The Computational Scientist position is responsible for providing computational solutions to biological/clinical researchers, utilizing various techniques to explore, analyze, and ...

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 ...

YO AI Labs

Computational Physics Expert - Remote

Dallas, 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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Computational Scientist information

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$47K

$103.7K

$128.1K

How much do computational scientist jobs pay per year?

As of Sep 6, 2026, the average yearly pay for computational scientist in Texas is $103,733.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,000.00 and $127,600.00 per year, depending on experience, location, and employer.

What is a computational scientist?

A Computational Scientist uses advanced computing techniques, algorithms, and simulations to solve complex scientific and engineering problems. They work across various fields, such as physics, biology, chemistry, and engineering, developing models and running simulations to analyze large datasets. Their role often involves programming, data analysis, and collaboration with domain experts to gain insights and make predictions.

What does a computational scientist do?

A typical day for a Computational Scientist may involve developing and running computer simulations, analyzing large datasets, or creating algorithms to address complex scientific problems. You might spend time coding, troubleshooting computational models, collaborating with researchers or engineers, and documenting your findings. The work often involves both independent problem-solving and teamwork within multidisciplinary groups. Additionally, presenting results, preparing research papers, or contributing to grant proposals could be regular tasks, depending on your specific employer and industry. This dynamic role offers a blend of technical challenges and opportunities for innovation.

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

To thrive as a Computational Scientist, you need strong analytical skills, advanced knowledge of mathematics and computer science, and typically a graduate degree in a quantitative field such as physics, engineering, or computer science. Familiarity with programming languages like Python, R, or C++, experience with high-performance computing, and tools such as MATLAB or scientific visualization software are vital. Excellent problem-solving abilities, collaboration, and effective communication skills make someone stand out in this position. These skills are crucial for developing models, analyzing complex data, and communicating scientific insights to interdisciplinary teams.

What are the career paths in computational science?

Computational scientists can pursue career paths in academia, industry, or government research, often specializing in areas like data analysis, modeling, or simulation. They may advance to senior scientist, research director, or interdisciplinary roles, and typically develop skills in programming, statistical analysis, and domain-specific knowledge. Certifications in programming languages or data management can enhance career progression.

What are the most commonly searched types of Computational Scientist jobs in Texas?

The most popular types of Computational Scientist jobs in Texas are:

What are popular job titles related to Computational Scientist jobs in Texas?

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

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

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

What cities in Texas are hiring for Computational Scientist jobs?

Cities in Texas with the most Computational Scientist job openings:

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Computational Scientist jobs near you
Infographic showing various Computational Scientist job openings in Texas as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 88% Full Time, 7% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $103,733 per year, or $49.9 per hour.

Computational Scientist

ExxonMobil

Spring, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 4 days ago

ExxonMobil rating

6.0

Company rating: 6.0 out of 10

Based on 232 frontline employees who took The Breakroom Quiz

70th of 87 rated oil and gas companies

Job description

About us
At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world's largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.
The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies.
We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society's evolving needs. Learn more about our What and our Why and how we canwork together.
About Houston
ExxonMobil's state-of-the-art campus north of Houston serves as home to its Upstream, Product Solutions and Low Carbon Solutions businesses and their associated service groups. The facility opened in 2014 and accommodates more than 10,000 employees and visitors.
By bringing many global functional groups together, the campus provides employees with the tools and capabilities needed today, and in the future, to achieve business objectives and accelerate the discovery of new resources, technologies and products. It was designed to foster improved collaboration, creativity and innovation and enhance the company's ability to attract, develop and retain the top talent in the industry.
The campus is located in Spring, Texas, on 385 wooded acres immediately to the west of Interstate Highway 45 (I-45), at the intersection of I-45 and the Hardy Toll Road, approximately 25 miles from the cultural vibrancy of downtown Houston.
The campus was constructed to the highest standards of energy efficiency and environmental stewardship. Its design incorporates extensive research into best practices in building and workplace design through extensive benchmarking of the world's top academic, research, and corporate facilities.
Learn more about what we do in Houston here
What role you will play in our team
We are seeking a highly skilled and motivated Computational Scientist to join our team. This role involves developing and analyzing both physics-based and data-driven computational models to tackle a range of problems in the oil and gas industry.
What you will do
  • Work collaboratively across global, cross-disciplinary teams, and with third parties (academia, industry) to assess, accelerate pace of computational science technology development and deployment.
  • Frame computational challenge from business needs, develop solutions that strike a balance between accuracy and runtimes, develop solutions that merge physics and data incorporating uncertainty, develop novel approaches to constrain predictive models with field data.

Skills & Qualifications
  • PhD from a recognized university in Engineering, Applied Mathematics, Geoscience, Computational Science, or a closely related field.
  • Experience in developing, applying, and analyzing physics-based models and developing related algorithms.
  • Strong background in multiscale and/or multiphysics mathematical modeling, scientific computing, and numerical analysis.
  • Hands-on experience with deep learning, including familiarity with a range of architectures (e.g., autoencoder, transformer, diffusion model, GAN) and their application to industrial, engineering, or scientific problems.
  • Experience in surrogate modeling approaches (e.g., deep learning, machine learning, physics-informed machine learning, reduced-order modeling, multi-fidelity methods, etc.) to reduce computational cost in decision-making processes (e.g., optimization, inverse problems, data assimilation) while maintaining fit-for-purpose accuracy.
  • Experience in formulating and solving convex and PDE constrained optimization problems.
  • Strong proficiency in programming/scripting languages like Python or C++/C#.
  • Proficiency in ML frameworks (PyTorch, TensorFlow, scikit-learn); experience with Databricks/Spark is a plus.
  • Experience with software engineering best practices including software testing, agile development, version control, and DevOps.
  • Experience working in Linux and High-Performance Computing environment is desirable but not required.
  • Prior experience in the upstream oil and gas industry is an advantage.
  • Strong communication skills and ability to work effectively in interdisciplinary teams to translate complex computational models into actionable insights.

Your benefits
An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life.
We offer you:
  • Pension Plan: Enrollment is automatic and at no cost to you. The basic benefit is a monthly annuity to be paid to you in retirement for the rest of your life.
  • Savings Plan: You can contribute between 6% and 20% of your pay and are encouraged to enroll right away. If you contribute at least 6% to your savings plan, the Company will contribute a 7% match.
  • Workplace Flexibility: We have several programs such as "Flex your Day", providing ad-hoc flexibility around when and where you work, as well as longer-term programs such as leaves of absence and part-time work.
  • Comprehensive medical, dental, and vision plans.
  • Culture of Health: Programs and resources to support your wellbeing.
  • Employee Health Advisory Program: Provides confidential professional counseling for you and your family, including tools and resources promoting mental health and resiliency at no additional cost to you.
  • Disability Plan: Income replacement for when you cannot work due to illness or injury occurring on or off the job. Enrollment is automatic and at no cost to you.

More information on our Company's benefits can be found at www.exxonmobilfamily.com.
Please note benefits may be changed from time to time without notice, subject to applicable law.
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Alternate Location:
Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

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