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Modeling Simulation Analyst Jobs in Secaucus, NJ

Aaru

Simulation Engineer

New York, NY · On-site

$200K - $540K/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 ...

SteelStone

Aerodynamic Simulation Engineer

Brooklyn, NY · On-site

$110K - $140K/yr

... models for airflow in various kitchen appliances. • Collaborate with product design teams to integrate simulation results into product development. • Conduct tests and analyze data to evaluate ...

SteelStone

Aerodynamic Simulation Engineer

Brooklyn, NY

$110K - $140K/yr

... models for airflow in various kitchen appliances. Collaborate with product design teams to integrate simulation results into product development. Conduct tests and analyze data to evaluate ...

Doppel Inc

Software Engineer, Simulation

New York, NY · On-site

$135K - $300K/yr

We're creating AI-powered phishing simulations that use large-language models and voice synthesis ... with expert human analysts, to uncover and disrupt the infrastructure behind phishing ...

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

Modeling Simulation Analyst information

See Secaucus, NJ salary details

$39.7K

$102.9K

$146.4K

How much do modeling simulation analyst jobs pay per year?

As of Aug 1, 2026, the average yearly pay for modeling simulation analyst in Secaucus, NJ is $102,945.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,800.00 and $131,700.00 per year, depending on experience, location, and employer.

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.

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 Modeling Simulation Analysts?

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.

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.

What cities near Secaucus, NJ are hiring for Modeling Simulation Analyst jobs? Cities near Secaucus, 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 24 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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