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Modeling Simulation Analyst Jobs in Camden, NJ (NOW HIRING)

Sr. Development Engineer

Philadelphia, PA

$105K - $144K/yr

Apply modeling, simulation, and data analytics to predict performance, support scale-up decisions, optimize process design, and reduce commercialization risk. * Convert laboratory and pilot-scale ...

Perform modeling, simulation, and technical analysis using MATLAB * Develop, analyze, decompose, and trace system requirements * Support system architecture, trade studies, and technical baseline ...

Perform modeling, simulation, and technical analysis using MATLAB * Develop, analyze, decompose, and trace system requirements * Support system architecture, trade studies, and technical baseline ...

Perform modeling, simulation, and technical analysis using MATLAB * Develop, analyze, decompose, and trace system requirements * Support system architecture, trade studies, and technical baseline ...

Simulate & Model: Assist senior engineers in executing computational fluid dynamics (CFD) and thermal simulations, including modeling, pre-/post-processing, and analysis. * ComponentThermal Design ...

Showing results 21-40

Modeling Simulation Analyst information

See Camden, NJ salary details

$39.3K

$102.2K

$145.3K

How much do modeling simulation analyst jobs pay per year?

As of Aug 21, 2026, the average yearly pay for modeling simulation analyst in Camden, NJ is $102,155.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,200.00 and $130,600.00 per year, depending on experience, location, and employer.

What is a modeling simulation analyst?

Modeling Simulation Analysts are professionals who use mathematical models, simulations, and analytical techniques to study complex systems and predict their behavior. They help organizations make informed decisions by evaluating scenarios, testing hypotheses, and optimizing processes through virtual models. These analysts work in various industries, including defense, healthcare, manufacturing, and transportation, to improve efficiency, reduce costs, and support planning and strategy. Their work often involves collaboration with engineers, scientists, and decision-makers to interpret simulation results and implement solutions.

How does a modeling simulation analyst typically collaborate with cross-functional teams during a project?

Modeling Simulation Analysts frequently work alongside engineers, data scientists, and project managers to develop and refine simulation models. Collaboration often involves gathering system requirements, validating model assumptions with subject matter experts, and presenting simulation results to stakeholders. Clear communication is essential, as analysts must translate complex simulation data into actionable insights for decision-makers. Regular team meetings and iterative feedback are common to ensure the models accurately reflect real-world scenarios and project goals.

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

To thrive as a Modeling Simulation Analyst, you need a strong background in mathematics, statistics, and computer science, often supported by a relevant degree such as in engineering or applied mathematics. Proficiency in simulation software (e.g., MATLAB, Simulink, Arena), programming languages (such as Python or C++), and familiarity with data analysis tools are typically required. Strong analytical thinking, attention to detail, and effective communication skills set top candidates apart in this role. These abilities are vital for developing accurate models, interpreting complex data, and clearly presenting findings to support strategic decision-making.

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

AspectModeling Simulation AnalystData Analyst
Required CredentialsBachelor's or master's in engineering, computer science, or related fields; proficiency in simulation softwareBachelor's in statistics, mathematics, or related fields; proficiency in data analysis tools
Work EnvironmentEngineering labs, simulation centers, or technical departmentsOffice settings, data centers, or business environments
Employer & Industry UsageManufacturing, aerospace, defense, or engineering firmsFinance, healthcare, marketing, or business sectors
Common Search & ComparisonYesYes

The Modeling Simulation Analyst focuses on creating and analyzing simulations to predict system behaviors, often requiring engineering or technical expertise. In contrast, Data Analysts interpret data sets to inform business decisions, typically using statistical tools. While both roles involve data handling, the Modeling Simulation Analyst emphasizes modeling complex systems, whereas Data Analysts focus on data interpretation for strategic insights.

Is modeling a high paying job?

Modeling simulation analysts often earn competitive salaries, especially with experience and advanced skills in programming, data analysis, and simulation tools. Salaries can vary based on industry, location, and level of expertise, but the role generally offers above-average compensation compared to many entry-level positions.

What does a modeling simulation analyst do?

A modeling simulation analyst develops and runs computer models to analyze complex systems and predict outcomes. They use specialized software and data analysis skills to support decision-making in fields like engineering, defense, or manufacturing, often working with large datasets and simulation tools. The role requires strong analytical skills, attention to detail, and knowledge of modeling techniques and programming languages.

What job categories do people searching Modeling Simulation Analyst jobs in Camden, NJ look for?

The top searched job categories for Modeling Simulation Analyst jobs in Camden, NJ are:

What cities near Camden, NJ are hiring for Modeling Simulation Analyst jobs?

Cities near Camden, NJ with the most Modeling Simulation Analyst job openings:

Radar Systems Engineer

Skylimit Systems

Moorestown, NJ

$120K - $200K/yr

Full-time

Re-posted 29 days ago


Job description

Role Overview

This role supports the development, analysis, and verification of advanced radar systems deployed across fixed, transportable, and naval platforms. The position focuses on systems engineering activities including requirements development, system architecture, performance analysis, modeling and simulation, and verification of scalable, software-defined, multi-mission radar systems within a secure defense environment.

Working as part of a collaborative engineering team, this individual will contribute across the systems engineering lifecycle, supporting system definition, architecture development, trade studies, modeling, integration planning, and requirements verification. The role partners closely with software, hardware, integration, and test engineers to ensure mission-critical radar capabilities meet performance, reliability, and operational requirements.


Key Responsibilities

  • Define, analyze, and manage system requirements using DOORS and Model-Based Systems Engineering (MBSE) methodologies.
  • Develop system architectures and support decomposition of radar systems into subsystems and components.
  • Perform system trade studies and analyses of alternatives to support technical decision-making.
  • Conduct radar performance modeling, simulation, and analysis using MATLAB and related tools.
  • Develop end-to-end subsystem integration and verification strategies.
  • Support requirements verification activities and ensure traceability throughout the development lifecycle.
  • Participate in technical reviews, design reviews, and engineering assessments.
  • Document engineering artifacts and maintain technical data within engineering repositories.
  • Collaborate with cross-functional teams including software, hardware, integration, and test engineering organizations.
  • Support the development of scalable, software-defined radar systems utilizing AESA technologies and advanced signal processing concepts.


Qualifications

  • Bachelor's degree in Engineering, Computer Science, Physics, Mathematics, or a related technical field required.
  • U.S. Citizenship required.
  • Active Secret clearance required.


Skills

  • Experience with systems engineering for complex radar, aerospace, or defense systems.
  • Strong understanding of requirements development, verification, and validation processes.
  • Experience with system architecture development and MBSE methodologies.
  • Knowledge of SysML, CAMEO, and DOORS.
  • Experience performing trade studies, analyses of alternatives, and technical evaluations.
  • Strong analytical, mathematical, and problem-solving skills.
  • Proficiency with MATLAB/Simulink for modeling, simulation, and performance analysis.
  • Familiarity with C++ or other object-oriented programming languages.
  • Understanding of radar signal processing, system performance analysis, and AESA technologies.


Preferred Experience

  • Experience supporting S-Band, multi-mission radar systems.
  • Background in radar signal processing, algorithm development, or beamforming technologies.
  • Experience with Model-Based Systems Engineering (MBSE) and digital engineering environments.
  • Experience supporting large-scale aerospace and defense development programs.
  • Familiarity with system integration, verification, and test planning activities.
  • Subject matter expertise in radar systems engineering and performance analysis.