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

Cornelis Networks

Thermal Design Engineer

Wayne, PA · On-site

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

Actalent

Systems Engineer

Moorestown, NJ

$40 - $68/hr

Utilize MATLAB for modeling, simulation, and data analysis to evaluate system performance and support design decisions. * Apply strong Linux knowledge to support integration, testing, scripting, and ...

Actalent

Software Engineer

Moorestown, NJ

$40 - $70/hr

You will perform system modeling, simulation, and analysis while contributing to the design and development of compilers, assemblers, utility programs, and operating systems. You will also provide ...

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All JobsModeling Simulation Analyst JobsModeling Simulation Analyst Jobs in Camden, NJ

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:

Modeling Simulation Analyst jobs near you

Thermal Design Engineer

Cornelis Networks, Inc.

Wayne, PA • On-site

Other

Posted 15 days ago

Job description

Cornelis Networks is hiring a talented Entry-Level Thermal Engineer with a foundational understanding of heat transfer and fluid dynamics. In this entry-level role, you will support the design, simulation, and physical testing of thermal management solutions for the next-generation Cornelis Networks Fabric platforms. You will work closely with senior thermal, mechanical, and electrical engineers to evaluate high-performance electronics cooling from the component level up to the system level. 


The ability to effectively focus a significant amount of computational power on solving critical problems through the use of artificial intelligence, data analytics, and modeling/simulation techniques is vital to many scientific, commercial, and government organizations, and it is the mission of Cornelis Networks to deliver innovative purpose-built interconnect solutions that enable our customers to optimally apply vast computational resources to solve the world’s toughest problems. 




Key tasks include: 

  • Lab Testing & Validation: Set up and execute thermal measurements and qualification testing. Apply thermocouples, manage data acquisition (DAQ) systems, and collect empirical data to validate thermal designs. 
  • Simulate & Model: Assist senior engineers in executing computational fluid dynamics (CFD) and thermal simulations, including modeling, pre-/post-processing, and analysis. 
  • Component Thermal Design Support: Support the thermal design and evaluation of PCBs, heat sinks, and thermal interface materials (TIMs). 
  • Data Analysis & Reporting: Analyze thermal test data, summarize findings, and contribute to formal engineering test reports and guidelines. 
  • Cross-Functional Collaboration: Partner with mechanical, electrical, and manufacturing teams to understand design constraints and support product readiness. 


Minimum qualifications 

  • BS in Mechanical Engineering with a focus in Thermodynamics, Heat Transfer, Fluid Dynamics, or Thermal Engineering. 
  • 0-3 years of experience in thermal engineering (internship, co-op, or academic lab experience qualifies). 
  • Hands-on experience in a lab environment: familiarity with thermal sensors, data acquisition, and test execution. 
  • Familiarity with 3D MCAD tools (CREO preferred, SolidWorks acceptable). 
  • Familiarity with basic CFD tools and concepts (academic or industry exposure to Cadence Celsius EC, Siemens Flotherm, or Ansys Icepak is highly desired). 
  • Understanding of basic cooling methods (conduction, convection, heat sinks, and thermal interface materials). 
  • Excellent communication and interpersonal skills; eager to learn and work in a cross-disciplinary team. 


Preferred qualifications: 

  • MS in Mechanical Engineering. 
  • Scripting experience (e.g., Python, MATLAB) for test automation or thermal data analysis. 
  • Prior experience specifically using Cadence Celsius EC for electronics cooling simulation. 
  • Familiarity with liquid cooling systems, cold plates, or two-phase cooling methods. 
  • Exposure to high-performance computing (HPC) or data center environments. 


Location 

This position is hybrid (on-site with some remote work possible) at the headquarters in the Chesterbrook Corporate Center in Wayne, PA. The successful candidate resides within commuting distance. 


Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.