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Computational Modeling Simulation Multiphysics Jobs in Ashburn, VA

Improbable LLC

Applied Scientist

Arlington, VA

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.

Improbable LLC

Applied Scientist

Arlington, VA · On-site

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.

Improbable LLC

Applied Scientist

Arlington, VA · On-site

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.

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Computational Modeling Simulation Multiphysics information

See Ashburn, VA salary details

$39.9K

$103.5K

$147.3K

How much do computational modeling simulation multiphysics jobs pay per year?

As of May 29, 2026, the average yearly pay for computational modeling simulation multiphysics in Ashburn, VA is $103,544.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,300.00 and $132,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Computational Modeling Simulation Multiphysics Engineer, and why are they important?

A strong background in physics, engineering, mathematics, and computational science—typically with an advanced degree—is essential for a Computational Modeling Simulation Multiphysics Engineer. Proficiency in simulation software such as ANSYS, COMSOL Multiphysics, MATLAB, and programming languages like Python or C++ is commonly required, along with familiarity with high-performance computing environments. Analytical thinking, problem-solving skills, and effective communication set standout professionals apart in this field. These capabilities enable accurate modeling of complex physical phenomena, efficient collaboration, and successful project outcomes in research and industry settings.

What are some common challenges faced by professionals in Computational Modeling Simulation Multiphysics roles, and how can they be addressed?

One of the main challenges in Computational Modeling Simulation Multiphysics roles is managing the complexity of integrating multiple physical phenomena, such as thermal, structural, and fluid dynamics, into a single simulation. This often requires a deep understanding of both the underlying physics and the numerical methods used by simulation software. Collaborating closely with domain experts and maintaining clear communication within multidisciplinary teams can help address these challenges. Additionally, staying updated with advances in simulation tools and best practices through continuous learning is key to overcoming technical hurdles and ensuring accurate results.

What is computational modeling simulation multiphysics?

Computational modeling simulation multiphysics refers to the use of computer-based models to simulate and analyze systems that involve multiple interacting physical phenomena—such as fluid dynamics, heat transfer, electromagnetics, and structural mechanics—all at once. This approach allows researchers and engineers to predict complex real-world behavior, optimize designs, and reduce the need for expensive prototypes. Multiphysics simulations are widely used in industries like aerospace, automotive, energy, and biomedical engineering, where accurate modeling of coupled physical processes is critical.

What is the difference between Computational Modeling Simulation Multiphysics vs Computational Engineer?

AspectComputational Modeling Simulation MultiphysicsComputational Engineer
CredentialsTypically requires degrees in engineering, physics, or related fields; certifications in simulation software are commonSimilar educational background; often holds engineering degrees and software certifications
Work EnvironmentPrimarily in R&D labs, engineering firms, or manufacturing settings focusing on complex simulationsInvolved in product development, software development, or systems design in various industries
Industry UsageUsed in aerospace, automotive, energy, and manufacturing for advanced simulationsApplied across industries for designing, analyzing, and optimizing systems and products

While both roles involve computational skills and engineering principles, Computational Modeling Simulation Multiphysics specializes in complex, multi-physics simulations, whereas Computational Engineer focuses on designing and implementing computational solutions across various engineering projects.

What are popular job titles related to Computational Modeling Simulation Multiphysics jobs in Ashburn, VA? For Computational Modeling Simulation Multiphysics jobs in Ashburn, VA, the most frequently searched job titles are:
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Computational Modeling Simulation Multiphysics jobs near you

Cardiovascular Research Scientist

Pivot Path Solutions

Fairfax, VA • On-site, Remote

Contractor

Posted 29 days ago

Job description

Position Overview
Pivot Path Solutions is seeking a Cardiovascular Research Scientist / Physiologist to support advanced research and development efforts in digital twin technologies for predictive medicine. This role will focus on developing and validating physiology-based models of the cardiovascular system, integrating clinical data with computational methods to simulate disease progression and treatment outcomes.
The ideal candidate brings deep expertise in cardiovascular physiology, hemodynamics, and computational modeling, with the ability to translate biological systems into predictive, data-driven models. This position will play a critical role in supporting high-impact R&D initiatives aligned with federal research programs. This is a remote position. Key Responsibilities
Scientific & Technical Leadership
  • Develop high-fidelity physiological models of the cardiovascular system, including blood flow dynamics, cardiac function, and systemic responses
  • Translate clinical and experimental data (e.g., imaging, vitals, lab values) into computational models
  • Support the design of digital twin architectures for patient-specific modeling
Modeling & Simulation
  • Build and validate mechanistic (physics-based) models of:
    • Hemorrhage and shock (acute conditions), OR
    • Heart failure and chronic cardiovascular disease
  • Collaborate on the development of reduced-order models (ROMs) for real-time simulation
  • Conduct sensitivity analysis, uncertainty quantification, and model calibration
Clinical & Experimental Integration
  • Collaborate with clinicians to ensure biological and clinical relevance of models
  • Support development of validation strategies, including comparison against human or animal data
  • Contribute to study design and experimental protocols as needed
Required Qualifications
  • PhD in:
    • Biomedical Engineering
    • Physiology
    • Cardiovascular Science
    • Computational Biology or related field
  • Strong background in cardiovascular physiology and hemodynamics
  • Demonstrated ability to work with multimodal biomedical data
  • Experience with peer-reviewed publications or funded research projects
Why Work With Pivot Path
  • Collaborate on high-impact federal innovation programs.
  • Flexible, entrepreneurial engagement model.
  • Opportunity to shape next-generation digital twin initiatives in mission-critical environments.
  • Direct access to executive leadership and capture strategy discussions.

Apply