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Computational Science Jobs in Washington, DC (NOW HIRING)

Cymertek Corporation

HPC Software Engineer

Reston, VA · On-site

... Science, Computational Science, Software Engineering, Electrical Engineering, Computer Engineering, Applied Mathematics, Physics, Data Science, Mechanical Engineering, Aerospace Engineering ...

Protagonist

Computational Social Scientist

Washington, DC · On-site

$70K - $102K/yr

Our work lives at the intersection of data science and social science: we pair computational techniques with an understanding of the social, political, and information dynamics behind the data. This ...

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Computational Science information

See Washington, DC salary details

$64K

$94.1K

$111K

How much do computational science jobs pay per year?

As of Sep 8, 2026, the average yearly pay for computational science in Washington, DC is $94,094.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,700.00 and $105,900.00 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 Washington, DC?

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

What job categories do people searching Computational Science jobs in Washington, DC look for?

The top searched job categories for Computational Science jobs in Washington, DC are:

Computational Science jobs near you
Infographic showing various Computational Science job openings in Washington, DC as of September 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $94,094 per year, or $45.2 per hour.

CRYPTOLOGIC COMPUTER SCIENTIST (Level I-IV)

Columbia, MD • On-site

BTS
See more jobs at BTSexternal

Full-time

Re-posted 25 days ago

Job description

Job Summary:
BTS Software Solutions is seeking a Cryptologic Computer Scientist to perform data and computer science analysis in support of customer operations. The role requires leveraging computer science expertise to solve mission problem sets and involves participation in cross-Agency working groups.
Responsibilities:
• perform data and computer science analysis in support of customer operations
• leverage computer science expertise and tradecraft to solve mission problem sets
• expertise with operation systems, compiler theory, database theory, algorithm analysis, computer architecture, discrete math, programming language theory, and data structures
• relevant experience in computer systems research, modeling/simulation development and prototyping, software design, programming, computational science, reverse engineering, and designing/developing computer or information systems, including hardware and/or software
• comfortable participating in cross-Agency working groups, JDA, field assignments and external customer support
• excellent written and verbal communication skills for coordinating across multiple mission teams
Qualifications:
Required:
• Degree must be in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field with at least one programming and at least 4 upper-level math classes (Calculus and above)
• Must be able to leverage computer science expertise and tradecraft to solve mission problem sets.
• Expertise with operation systems, compiler theory, database theory, algorithm analysis, computer architecture, discrete math, programming language theory, and data structures.
• Relevant experience in computer systems research, modeling/simulation development and prototyping, software design, programming, computational science, reverse engineering, and designing/developing computer or information systems, including hardware and/or software.
• Comfortable participating in cross-Agency working groups, JDA, field assignments and external customer support
• Excellent written and verbal communication skills for coordinating across multiple mission teams.
• Entry level positions require an Associate's degree plus 4 years of relevant experience, or a Bachelor's degree and 2 years of relevant experience.
• Higher positions require up to and including an Associate's degree plus 13 years of relevant experience, a Bachelor's degree and 11 years of relevant experience OR a Master's Degree and 9 years of relevant experience.
• Clearance Requirement: TS/SCI with Poly
Company:
BTS Software Solutions delivers intelligence operations and advanced engineering capabilities to support complex, fast-changing defense and intelligence missions. Founded in 2009, the company is headquartered in Columbia, Maryland, US, , with a team of 201-500 employees. The company is currently Growth Stage.

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