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Modelling Simulation Jobs in Ashburn, VA (NOW HIRING)

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Modelling Simulation information

See Ashburn, VA salary details

$11.2K

$69.1K

$124.2K

How much do modelling simulation jobs pay per year?

As of Aug 9, 2026, the average yearly pay for modelling simulation in Ashburn, VA is $69,129.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $81,300.00 per year, depending on experience, location, and employer.

What is the difference between Modelling Simulation vs Data Analyst?

AspectModelling SimulationData Analyst
Required CredentialsBachelor's or higher in Engineering, Mathematics, or related fields; often certifications in simulation softwareBachelor's or higher in Statistics, Mathematics, or related fields; certifications in data analysis tools
Work EnvironmentEngineering labs, research centers, or software development teamsBusiness offices, data centers, or consulting firms
Industry UsageManufacturing, aerospace, automotive, and engineering sectorsFinance, marketing, healthcare, and technology sectors
Common Search/ComparisonYesYes

Modelling Simulation and Data Analyst roles share overlapping skills in data handling and analytical thinking. However, Modelling Simulation focuses on creating and testing models to predict system behavior, often in engineering contexts. Data Analysts interpret data to inform business decisions. Both roles require strong technical skills, but their applications and industries differ significantly.

How to become a modeling and simulation engineer?

To become a modeling and simulation engineer, typically a bachelor's degree in engineering, computer science, or a related field is required, with many roles preferring a master's degree or higher. Skills in programming languages such as C++, Python, or MATLAB, along with knowledge of simulation software and systems modeling, are essential. Gaining experience through internships, certifications, or project work can improve job prospects in this field.

Is modeling a high paying job?

Modeling and simulation jobs can offer competitive salaries, especially for experienced professionals with specialized skills in areas like software, mathematics, or engineering. Salary levels vary based on industry, location, experience, and education, with some roles paying well above average for technical expertise. Certifications and proficiency in modeling tools can also influence earning potential.
What are popular job titles related to Modelling Simulation jobs in Ashburn, VA? For Modelling Simulation jobs in Ashburn, VA, the most frequently searched job titles are:
What job categories do people searching Modelling Simulation jobs in Ashburn, VA look for? The top searched job categories for Modelling Simulation jobs in Ashburn, VA are:
What cities near Ashburn, VA are hiring for Modelling Simulation jobs? Cities near Ashburn, VA with the most Modelling Simulation job openings:
Modelling Simulation jobs near you
Infographic showing various Modelling Simulation job openings in Ashburn, VA as of August 2026, with employment types broken down into 68% Full Time, 20% Part Time, and 12% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $69,129 per year, or $33.2 per hour.

NIST PREP Research Associate in Statistical Methods for Reference Material Value Transfer and Uncert

Southeastern Universities Research Association

Gaithersburg, MD • On-site

$85K/yr

Full-time

Re-posted yesterday

Job description

This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects of mutual interest and, therefore, requires those institutions to be recipients of a PREP award. The PREP program involves staff from a wide range of backgrounds conducting scientific research across various fields. Individuals in this position will perform technical work supporting the collaboration's scientific research.
Research Title: Statistical Methods for Reference Material Value Transfer and Uncertainty Propagation
The work will entail: This project involves collaborative research working with a team of statisticians at NIST on statistical methodology for the development of Standard Reference Materials (SRMs). The research will focus on cases where SRMs are being updated and it is desired to carry older certified values forward rather than conduct a full recertification measurement process. The project will explore the theoretical issues, risks, and statistical questions associated with this carry-forward approach. The project also involves developing theoretical methods for adjusting and propagating uncertainties when this approach is utilized.
U.S. Citizen Preferred
Key responsibilities will include but are not limited to:
  • Work with scientific collaborators to help refine and clarify project goals and timelines.
  • Use statistical modelling and simulation studies to explore the appropriateness of reusing certified values in a range of situations.
  • Develop a theoretical framework for expanding uncertainties to account for the reuse of values.
  • Implement statistical methods via a high-level programming language such as R or Python.
  • Present and communicate results and statistical analysis to non-statisticians.

Qualifications
  • Master's degree in statistics or a related quantitative field.
  • Experience with data analysis and statistical simulation.
  • Proficiency in at least one of R or Python.
  • Strong oral and written communication skills.

Privacy Act StatementAuthority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated.
SURA is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.
PREP0004935

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