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Computational Scientist Jobs (NOW HIRING)

ExxonMobil

Computational Scientist

Spring, TX · On-site

ExxonMobil is one of the world's largest publicly traded energy and chemical companies, seeking a highly skilled and motivated Computational Scientist to join their team. This role involves ...

Tamarind Bio, Inc

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 ...

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 ...

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 ...

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 ...

Voltai, Inc

Computational Scientist

Palo Alto, CA · On-site

PhD in computational physics, applied mathematics, computational engineering, or a closely related ... Solid understanding of AI for Science methodology: how to design datasets from simulations, handle ...

Voltai

Computational Scientist

Palo Alto, CA · On-site

PhD in computational physics, applied mathematics, computational engineering, or a closely related ... Solid understanding of AI for Science methodology: how to design datasets from simulations, handle ...

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4439

Computational Scientist, BioHPC

Dallas, TX · On-site

The Computational Scientist - BioHPC will work on the daily operations of the HPC system, provide user support and training, and collaborate on high-end computational research projects. BENEFITS UT ...

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Computational Scientist information

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$50.5K

$111.3K

$137.5K

How much do computational scientist jobs pay per year?

As of Jul 3, 2026, the average yearly pay for computational scientist in the United States is $111,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $137,000.00 per year, depending on experience, location, and employer.

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

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 can you do with a computational science degree?

A computational scientist can work in fields such as data analysis, simulation, modeling, and algorithm development across industries like healthcare, finance, and engineering. They often use programming languages, high-performance computing, and statistical tools to solve complex problems. Career options include research roles, software development, and data science positions requiring strong analytical and technical skills.

What is a Computational Scientist job?

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 is the average salary of a Computational Biologist?

The average salary of a Computational Biologist typically ranges from $70,000 to $110,000 annually, depending on experience, education, and location. Professionals in this field often work with bioinformatics tools and programming languages like Python or R, and advanced degrees can lead to higher compensation.

What is the difference between a computer scientist and a computational scientist?

A computational scientist applies computer science, mathematics, and domain-specific knowledge to solve complex scientific problems using modeling, simulation, and data analysis. In contrast, a computer scientist primarily focuses on developing algorithms, software, and systems, often working in areas like programming, data structures, and theoretical computing. Both roles require strong programming skills, but computational scientists typically work in research environments and use specialized tools for scientific computing.

What does a computational scientist do?

A computational scientist develops and applies mathematical models, algorithms, and simulations to analyze complex scientific problems. They often use programming languages, high-performance computing, and data analysis tools to interpret large datasets and support research across various scientific disciplines.

What does a typical day look like for a Computational Scientist?

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.

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What cities are hiring for Computational Scientist jobs? Cities with the most Computational Scientist job openings:
What are the most commonly searched types of Computational Scientist jobs? The most popular types of Computational Scientist jobs are:
Who are the top companies hiring for Computational Scientist jobs? The top employers for Computational Scientist jobs are:
What states have the most Computational Scientist jobs? States with the most job openings for Computational Scientist jobs include:
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What are popular job titles related to Computational Scientist jobs? For Computational Scientist jobs, the most frequently searched job titles are:
Computational Scientist jobs near you
Infographic showing various Computational Scientist job openings in the United States as of June 2026, with employment types broken down into 71% Full Time, 28% Part Time, and 1% Contract. Highlights an 69% Physical, 1% Hybrid, and 30% Remote job distribution, with an average salary of $111,343 per year, or $53.5 per hour.
Computational Scientist

Computational Scientist

ExxonMobil

Spring, TX • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

ExxonMobil rating

6.2

Company rating: 6.2 out of 10

Based on 223 frontline employees who took The Breakroom Quiz

53rd of 74 rated oil and gas companies

Job description

Job Summary:
ExxonMobil is one of the world’s largest publicly traded energy and chemical companies, seeking a highly skilled and motivated Computational Scientist to join their 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.
Responsibilities:
• 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.
Qualifications:
Required:
• 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.
Company:
ExxonMobil is an international oil and gas company that provides energy that helps underpin growing economies. Founded in 1870, the company is headquartered in Irving, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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