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Modeling Simulation Scientist Jobs (NOW HIRING)

Science Work Arrangement: Hybrid Posting Start Date: 8/26/26 Posting End Date: 9/26/26 About the Role We are looking for a Modeling & Simulation Scientist to join our team. In this role you will use ...

Modeling & Simulation Analyst Program Summary KBR's Missile, Aviation, and Ground Systems (MAGS ... Possess a Bachelor of Science degree in Engineering, Physics, Mathematics, or Computer Science or ...

Modeling & Simulation Analyst Program Summary KBR's Missile, Aviation, and Ground Systems (MAGS ... Possess a Bachelor of Science degree in Engineering, Physics, Mathematics, or Computer Science or ...

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Modeling Simulation Scientist information

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$50.5K

$130.1K

$174K

How much do modeling simulation scientist jobs pay per year?

As of Sep 9, 2026, the average yearly pay for modeling simulation scientist in the United States is $130,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What does a modeling simulation scientist do?

A Modeling Simulation Scientist develops mathematical models and computer simulations to predict, analyze, and optimize complex systems or processes. They use advanced computational techniques to create virtual representations of real-world phenomena, which can be used for research, development, and decision-making. These professionals work in various fields such as engineering, physics, healthcare, and defense, helping organizations test scenarios and solve problems without the need for costly or impractical real-world experiments.

What are some common challenges faced by modeling simulation scientists when integrating models with real-world data?

Modeling Simulation Scientists often encounter challenges when aligning theoretical models with real-world data, such as dealing with incomplete or noisy datasets and ensuring model validity. Adapting models to reflect complex, dynamic systems can require significant iteration and collaboration with subject matter experts. Additionally, communicating technical findings to stakeholders who may not have a technical background is crucial for project success. Developing effective data preprocessing strategies and maintaining flexibility in model development are key to overcoming these challenges.

What are the key skills and qualifications needed to thrive as a modeling simulation scientist, and why are they important?

To excel as a Modeling Simulation Scientist, you need a solid background in mathematics, physics, computer science, and engineering, often supported by a relevant advanced degree such as a master's or PhD. Experience with simulation software (like MATLAB, Simulink, or ANSYS), programming languages (such as Python or C++), and familiarity with data analysis tools are typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help in interpreting complex data and collaborating with multidisciplinary teams. These competencies are essential for designing accurate models, troubleshooting simulations, and delivering actionable insights for research and product development.

What is the difference between Modeling Simulation Scientist vs Data Analyst?

AspectModeling Simulation ScientistData Analyst
Required CredentialsAdvanced degrees in engineering, physics, or related fields; often requires experience with simulation softwareBachelor's or master's in statistics, mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentResearch labs, R&D departments, or engineering teams focusing on modeling and simulationBusiness, finance, healthcare, or marketing teams analyzing data sets
Industry UsageEngineering, aerospace, automotive, and manufacturing sectorsFinance, healthcare, retail, and technology sectors
Common Search & ComparisonOften compared based on technical skills and software expertiseCompared based on data handling and visualization skills

The main difference is that Modeling Simulation Scientists focus on creating and validating models to simulate real-world systems, often requiring advanced technical knowledge. Data Analysts primarily interpret and visualize data to support business decisions. Both roles require analytical skills but serve different purposes within their industries.

More about Modeling Simulation Scientist jobs

What are popular job titles related to Modeling Simulation Scientist jobs?

For Modeling Simulation Scientist jobs, the most frequently searched job titles are:

Infographic showing various Modeling Simulation Scientist job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $130,117 per year, or $62.6 per hour.

Modeling and Simulation Scientist

Flagstaff, AZ • On-site

Sitka Inc.
Outpatient Health Care • 11 - 50 employees

$125 - $150/hr

Other

Posted 8 days ago


Key responsibilities

  • Perform CFD/FSI modeling of transient flow, species transport, porous jumps, multiphase flow, mass transport and heat transfer analysis to support accelerated product design and evaluation.

  • Provide analytical support in the areas of medical product design, optimization and new product development.

  • Document and communicate results through technical reports and presentations.


Job description

Category: Engineering, Scientists & Technicians

Sub-Category: Science

Work Arrangement: Hybrid

Posting Start Date: 8/26/26

Posting End Date: 9/26/26

About the Role

We are looking for a Modeling & Simulation Scientist to join our team. In this role you will use Computational Fluid Dynamics (CFD) expertise to provide support for design, development, and optimization of medical devices. This role offers a unique opportunity to model cardiovascular hemodynamics, supporting product innovation, design iteration, and regulatory submissions. Working closely with cross-functional teams, you will use simulation-driven insights to predict device performance, identify worst-case scenarios, and accelerate product development through virtual testing. The successful candidate will perform CFD analyses by applying principles of fluid mechanics, material behavior, and medical device durability to solve complex engineering challenges and advance patient care.

This position will be located at our facility in either Flagstaff or Phoenix, Arizona , with the possibility of a hybrid work arrangement.

Responsibilities
  • Provide analytical support in the areas of medical product design, optimization and new product development.
  • Perform CFD/FSI modeling of transient flow, species transport, porous jumps, multiphase flow, mass transport and heat transfer analysis to support accelerated product design and evaluation.
  • Perform other analytical procedures that will assist in the application, design and manufacture of medical products.
  • Advance the use of data driven modeling using AI/ML and PINNs techniques.
  • Develop techniques to combine data driven modeling with physics-based modeling.
  • Verify and validate computational analyses.
  • Support continuous improvement of modeling workflows, tools, and best practices.
  • Review and provide feedback on modeling approaches and analyses performed by peers.
  • Document and communicate results through technical reports and presentations.
Required Qualifications
  • Master of Science degree in mechanical or biomedical engineering with a minimum of 5 years’ experience in computational fluid dynamics analysis
  • Experience in computational fluid dynamics software, specifically analysis in Fluent, Star CCM+, COMSOL or similar with related pre- and post-processing software
  • Experience in cardiovascular hemodynamics
  • Programming or scripting experience (Python, MATLAB, or similar) for automation and data processing
  • Experience creating user-defined functions for modeling; experience with AI/ML
  • Advanced experience in solid modeling, specifically SolidWorks
  • Proven ability to embrace new concepts and learn quickly
  • Ability to independently manage multiple simulation projects, solve complex modeling challenges, and collaborate effectively across multidisciplinary teams
  • Excellent communication and technical documentation skills
  • Ability to travel up to 5%
Desired Qualifications
  • Doctoral degree in mechanical or biomedical engineering
  • Experience with verification and validation of computational models, and with techniques such as Particle Image Velocimetry (PIV)
  • Experience with thrombosis modeling

This position offers a hybrid work arrangement in the country from which the Associate is employed. Eligibility is dependent on the responsibilities of the role and business needs, and the Associate must agree to comply with Gore’s work arrangement policies.

What We Offer

Our success is based on the capability and creativity of our Associates, and we are proud to offer a comprehensive and competitive total rewards program that supports your everyday and helps you build your tomorrow.

We provide benefits that offer choice and flexibility and promote overall well-being. And in keeping with our belief that every Associate should share in the collective success of the enterprise; we provide a distinctive Associate Stock Ownership Plan in each country as well as potential opportunities for profit‑sharing.

Learn more at gore.com/careers/benefits

Gore is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, national origin, ancestry, age, status as a qualified individual with a disability, genetic information, pregnancy status, medical condition, marital status, sexual orientation, status as a protected veteran, gender identity and expression, and any other characteristic protected by applicable laws and regulations.

Gore is committed to a drug-free workplace. All employment is contingent upon successful completion of drug and background screening. Gore will consider qualified applicants with criminal histories, e.g., arrest and conviction records, in a manner consistent with the requirements of applicable laws.

Gore requires all applicants to be eligible to work within the United States. Gore generally will not sponsor visas unless otherwise noted on the position description.

For over 65 years, Gore has improved lives through discovery, product innovation and rewarding careers for Associates. We push the boundaries of what's possible - not just through our products and technologies but also through individual growth and development.

We believe in the strength of a diverse and inclusive workplace. With diverse perspectives, ideas and experiences, we uncover new possibilities and make a greater impact in the world. Our Associates build on a rich history of innovation, upholding Gore’s values and supporting an inclusive work environment where we treat each other and our external partners with fairness, dignity and respect.

Copyright 2025 W. L. Gore & Associates, Inc.

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