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Modeling Simulation Analyst Jobs in Waldwick, NJ

Leidos

Mechanical Engineer

Wharton, NJ · On-site

$107K - $195K/yr

Setup, run, and analyze complex 2D and 3D Computational Fluid Dynamics (CFD) models for various fluid flow and thermal systems. Modeling & Simulation: Develop robust mathematical and physics-based ...

Leidos

Mechanical Engineer

Wharton, NJ · On-site

$107K - $195K/yr

Setup, run, and analyze complex 2D and 3D Computational Fluid Dynamics (CFD) models for various fluid flow and thermal systems. Modeling & Simulation: Develop robust mathematical and physics-based ...

Aaru

Simulation Engineer

New York, NY · On-site

$250K - $800K/yr

Researchers prove out how to synthesize an audience, model a world, predict responses, score ... Create the calculation, analysis, and publication layers that turn raw agent output into the ...

OLI

Senior Corrosion Modeler Developer

Parsippany, NJ · On-site

Proven research expertise in corrosion modeling and simulation. * Proven research expertise in analysis of experimental data. * Familiarity with corrosion mitigation or material selection standards.

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

Modeling Simulation Analyst information

See Waldwick, NJ salary details

$42.2K

$109.5K

$155.7K

How much do modeling simulation analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for modeling simulation analyst in Waldwick, NJ is $109,458.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,900.00 and $140,000.00 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 Waldwick, NJ look for?

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

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

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

Modeling Simulation Analyst jobs near you

Research Scientist - Quantum & AI Photonic Chip Simulation

Quantum Computing Inc.

Hoboken, NJ • On-site

Full-time

Re-posted 15 days ago

Job description

Location: Hoboken, NJ
Department: Tomorrow
Reports to: Ting Bu
Position Overview
The Research Scientist will work on the modeling, simulation, and architectural development of
quantum and artificial intelligence (AI) computational structures intended for chip-scale
implementation. This role focuses on translating advanced quantum and AI concepts into
physically realistic, simulation-validated device and system designs suitable for fabrication. It
concentrates on high-fidelity simulation, feasibility analysis, and performance optimization under
practical fabrication constraints. The role serves as a technical bridge between the research
team developing novel quantum/AI architectures and the chip fabrication team responsible for
implementation, ensuring that proposed designs are physically realizable, scalable, and
performance-optimized prior to tape-out.
Duties and Responsibilities
• Develop and simulate quantum and AI-based photonic architectures for on-chip
implementation.
• Translate high-level computational concepts into device-level and system-level
simulation models.
• Perform rigorous electromagnetic and multiphysics simulations to evaluate optical,
nonlinear, and quantum effects.
• Model and simulate quantum photonic circuits and quantum gates under realistic device
conditions.
• Analyze fabrication tolerances and material constraints to assess design robustness.
Optimize photonic device structures for performance, scalability, and manufacturability.
• Collaborate closely with fabrication and packaging teams to ensure simulation models
align with process capabilities.
• Support post-fabrication validation by correlating experimental results with simulation
predictions.
• Document modeling methodologies, simulation results, and architectural trade-offs for
internal and external reporting.
Required Qualifications
Education
• Ph.D. in Physics, Applied Physics, Electrical Engineering, or a closely related discipline.
Technical Background
• Strong foundation in Photonics, Quantum optics, Nonlinear optics
• Demonstrated experience in simulation of photonic integrated circuits.
• Experience modeling and simulating quantum gates or quantum optical systems.
• Understanding of semiconductor/TFLN and photonic chip fabrication processes sufficient
to incorporate realistic constraints into simulations.
• Familiarity with chip testing and packaging considerations from a modeling perspective.
Software Proficiency
• Lumerical (FDTD, MODE, INTERCONNECT)
• Tidy3D
• COMSOL Multiphysics
• Python
• MATLAB

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