ZipRecruiter

Log In

1

Computational Modeling Jobs in Virginia (NOW HIRING)

Improbable LLC

Applied Scientist

Arlington, VA · On-site

Working along experts in AI, Machine Learning, computational modeling, and distributed systems, you will put multiplayer gaming technology to life-saving use. Our mission? To enable the most ...

Improbable LLC

Applied Scientist

Arlington, VA · On-site

Working along experts in AI, Machine Learning, computational modeling, and distributed systems, you will put multiplayer gaming technology to life-saving use. Our mission? To enable the most ...

Improbable LLC

Model Engineer

Arlington, VA · On-site +1

Working along experts in AI, Machine Learning, computational modeling, and distributed systems, you will put multiplayer gaming technology to life-saving use. Our mission? To enable the most ...

Improbable LLC

Model Engineer

Arlington, VA · On-site +1

Working along experts in AI, Machine Learning, computational modeling, and distributed systems, you will put multiplayer gaming technology to life-saving use. Our mission? To enable the most ...

Improbable LLC

Model Engineer

Arlington, VA · On-site

Working along experts in AI, Machine Learning, computational modeling, and distributed systems, you will put multiplayer gaming technology to life-saving use. Our mission? To enable the most ...

next page

Showing results 1-20

All JobsComputational Modeling JobsComputational Modeling Jobs in Virginia

Computational Modeling information

See Virginia salary details

$40

$54

$73

How much do computational modeling jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for computational modeling in Virginia is $54.46, according to ZipRecruiter salary data. Most workers in this role earn between $46.49 and $72.93 per hour, depending on experience, location, and employer.

What are some examples of computational models?

Computational modeling in the context of computational modeling jobs involves creating mathematical or algorithmic representations of real-world systems. Examples include neural networks for machine learning, agent-based models for simulating social behaviors, and finite element models for engineering and physical systems. These models are used across fields such as data analysis, simulation, and predictive analytics, often requiring proficiency with programming languages like Python or MATLAB.

What is a Computational Modeling job?

A Computational Modeling job involves developing and using mathematical models, simulations, and algorithms to analyze complex systems across various fields, such as engineering, physics, biology, and finance. Professionals in this role apply computational techniques to study real-world phenomena, predict outcomes, and optimize processes. They often work with programming languages, statistical methods, and high-performance computing to create accurate and efficient models.

Is 3D modeling a high paying job?

3D modeling is a specialized skill often used in fields like animation, gaming, and product design. Salaries vary based on experience, industry, and location, but experienced 3D modelers with advanced skills can earn competitive wages, especially in high-demand sectors or with proficiency in tools like Blender or Maya.

Do computational biologists get paid well?

Computational biologists typically earn competitive salaries that reflect their specialized skills in data analysis, programming, and biological research. Salaries vary based on experience, education, and location, but they are generally above average compared to many other scientific roles. Advanced expertise in tools like Python, R, and machine learning can further increase earning potential.

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

To thrive in computational modeling, a strong background in mathematics, computer science, and domain-specific knowledge (such as engineering, physics, or biology) is essential, often supported by at least a bachelor's or master's degree in a related field. Familiarity with programming languages like Python, MATLAB, or R, as well as experience with simulation software and data analysis tools, is typically required. Strong problem-solving, analytical thinking, and effective communication skills set outstanding candidates apart. These abilities enable professionals to build accurate models, collaborate successfully with interdisciplinary teams, and translate complex results into actionable insights.

What does a typical day look like for someone working in computational modeling?

A typical day for a computational modeling professional often involves developing and refining mathematical or computer-based models, running simulations, and analyzing large datasets to draw meaningful conclusions. You’ll collaborate closely with domain experts, engineers, and researchers to ensure models accurately reflect real-world processes. The role may also involve presenting findings to stakeholders, troubleshooting code or software issues, and keeping up with new modeling techniques and industry advancements. This dynamic environment requires balancing independent problem-solving with teamwork and communication.

What do computational models do?

Computational modeling involves creating computer-based simulations to analyze and predict complex systems or phenomena. Computational modelers develop algorithms and use programming tools to test hypotheses, optimize processes, and support decision-making across fields like science, engineering, and data analysis.
What are the most commonly searched types of Computational Modeling jobs in Virginia? The most popular types of Computational Modeling jobs in Virginia are:
What are popular job titles related to Computational Modeling jobs in Virginia? For Computational Modeling jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Computational Modeling jobs in Virginia look for? The top searched job categories for Computational Modeling jobs in Virginia are:
What cities in Virginia are hiring for Computational Modeling jobs? Cities in Virginia with the most Computational Modeling job openings:
Computational Modeling jobs near you
Infographic showing various Computational Modeling job openings in Virginia as of June 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, 7% Hybrid, and 13% Remote job distribution, with an average salary of $113,270 per year, or $54.5 per hour.

Applied Scientist

Improbable LLC

Arlington, VA • On-site

Full-time

Posted 9 days ago

Job description

Join Improbable U.S. Defense & National Security and you will help users leverage our synthetic environment development platform to plan and train for the most complex security threats in the world. Working along experts in AI, Machine Learning, computational modeling, and distributed systems, you will put multiplayer gaming technology to life-saving use.  
  
Our mission? To enable the most realistic and effective virtual worlds ever experienced. Our team in Arlington, VA, and across several other locations in the US, is focused on applying our technology to solve real-world Defense and National Security problems.  
  
At Improbable, you will be surrounded by people who want to improve everything and everyone around them, and who compel you to improve yourself. We’re motivated by the fulfillment of solving hard problems to achieve something profound and transformative. 
 

Our applied scientists are solution focused, collaborating in diverse technical teams to design, build, deploy, and evaluate complex models and simulations that help solve a variety of real-world problems. Your work could entail anything from the creation of realistic synthetic entities and environments to modeling real world systems.
Areas for Impact
  • Bring together best in class models to build and iterate on the most appropriate application of Modeling & Simulation.
  • Iteratively design and prototype models of real-world systems that enable our customers to interrogate the past, understand the present, and predict the future.
  • Collaborate with engineers to implement high performance models in production environments.
  • Work closely with Improbable's product team to enhance our foundational technology platform.
  • Critically assess the type and quality of customer or open-source data and define modeling assumptions and capture uncertainty.
  • Take ownership of ensuring and demonstrating the reliability of the models that we create.
  • Work closely with our technology customers to understand their problems and develop use cases for Improbable technology.

Additionally, you will drive thought leadership within the company and help our clients understand their needs and design their model and simulation strategies. This involves keeping up to date with a diverse body of cutting-edge research, designing and prototyping new technical approaches, and rapidly developing expertise in new subject areas to support new bids and projects. 
We'd like to hear from you if you identify with any of the following
  • Strong background and experience in delivery of technical, data-rich projects ideally for external clients.
  • Degree in a scientific, engineering, or mathematical field, ideally with a computational element.
  • Demonstrated knowledge in a statistical modeling and analysis.
  • Demonstrated experience with agent-based modeling, micro-simulation, computational social science, or modeling socio-technical systems.
  • Experience using game engines such as Unity and Unreal.
  • Pragmatic coding ability - with fluency in at least one relevant programming language and the openness to learn and adapt to a variety of languages. We use Python, R, Java, C, C++, and many related tools and libraries. 
  • Breaking down problem requirements, selecting effective analytical methods, and developing defensible solutions. 
  • Probabilistic programming. You can see our early open-sourced work here. 
  • Working with real, complex data, including geospatial data. 
  • Effectively communicating with clients in person, in writing, and with visualization. 
While we think the above experience could be important, we’re keen to hear from people that believe they have valuable experience to bring to the role. If you identify with the team and mission, but not all of our requirements, then please still apply!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.