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Modeling And Simulation Engineer Jobs in Connecticut

LiquidPiston

Senior Design Engineer

Suffield, CT · On-site

We are seeking a Senior Design Engineer to play a key role in the design, simulation, and ... modeling and assemblies) * Experience with mechanical, thermal, and fluid simulation tools (e.g ...

Sonalysts, Inc.

3D Model Developer

Waterford, CT · On-site

$60K - $110K/yr

Modeling and simulation of seabed to space capabilities. * Game-based training systems. * User ... developers, testers, subject matter experts, and project leads. The Opportunities of Employee ...

Sonalysts, Inc.

3D Model Developer

Waterford, CT · On-site

$60K - $110K/yr

Modeling and simulation of seabed to space capabilities. * Game-based training systems. * User ... developers, testers, subject matter experts, and project leads. The Opportunities of Employee ...

Sonalysts, Inc.

3D Model Developer

Waterford, CT · On-site

$60K - $110K/yr

Modeling and simulation of seabed to space capabilities. * Game-based training systems. * User ... developers, testers, subject matter experts, and project leads. The Opportunities of Employee ...

Leonardo DRS

Principal Systems Engineer

Bethel, CT · Hybrid

The engineer will identify and implement strategies to mitigate key development risks, verify ... tools for simulation of electrical systems down to a component level. * Model-based design ...

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All JobsModeling And Simulation Engineer JobsModeling And Simulation Engineer Jobs in Connecticut

Modeling And Simulation Engineer information

See Connecticut salary details

$37.1K

$117.4K

$181.2K

How much do modeling and simulation engineer jobs pay per year?

As of Jul 25, 2026, the average yearly pay for modeling and simulation engineer in Connecticut is $117,388.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,500.00 and $139,400.00 per year, depending on experience, location, and employer.

What are Modeling and Simulation Engineers?

Modeling and Simulation Engineers are professionals who use mathematical models and computer simulations to analyze complex systems and predict their behavior. They work in various industries, including aerospace, defense, healthcare, and manufacturing, to improve product design, optimize processes, and support decision-making. Their work often involves creating virtual prototypes, running simulations to test different scenarios, and interpreting results to provide insights for engineering projects. These engineers typically have strong backgrounds in mathematics, physics, and computer science.

What engineers make $300,000 a year?

Senior modeling and simulation engineers with extensive experience, advanced skills in programming, and often working in aerospace, defense, or high-tech industries can earn $300,000 or more annually. These roles typically require specialized knowledge, security clearances, and leadership responsibilities.

What are some common challenges a Modeling and Simulation Engineer faces when integrating new models into existing systems?

A common challenge for Modeling and Simulation Engineers is ensuring that new models are compatible with existing simulation frameworks and data sources. This often involves resolving discrepancies in data formats, model fidelity, and simulation timing, as well as validating that the integrated system produces accurate and reliable results. Collaboration with software developers, data analysts, and subject matter experts is essential to troubleshoot integration issues and maintain system performance. Effective communication and thorough documentation are key to overcoming these integration hurdles.

What are the key skills and qualifications needed to thrive as a Modeling and Simulation Engineer, and why are they important?

To thrive as a Modeling and Simulation Engineer, you need a strong background in mathematics, physics, computer science, and engineering principles, typically supported by a relevant degree. Proficiency with simulation software (such as MATLAB, Simulink, or ANSYS), programming languages (like Python or C++), and sometimes certifications in modeling tools are highly valued. Analytical thinking, problem-solving, and effective communication are essential soft skills for translating complex systems into accurate models and collaborating with multidisciplinary teams. These skills are crucial for ensuring the accuracy, reliability, and usability of simulations that inform critical engineering decisions.

What engineers make $200,000 a year?

Modeling and Simulation Engineers can earn $200,000 or more annually, especially with extensive experience, advanced skills in programming and simulation tools, and work in high-demand industries such as aerospace, defense, or technology. Senior roles, managerial positions, or engineers with specialized certifications often reach or exceed this salary level.

What is the difference between Modeling And Simulation Engineer vs Systems Engineer?

AspectModeling And Simulation EngineerSystems Engineer
CredentialsBachelor's or Master's in Engineering, Computer Science, or related fields; certifications like INCOSEBachelor's or Master's in Engineering, Systems Engineering, or related fields; certifications like INCOSE
Work EnvironmentDesigning and developing simulation models, testing scenarios in labs or software environmentsIntegrating system components, coordinating across engineering teams, often in project offices
Industry UsageDefense, aerospace, automotive, and manufacturing sectorsDefense, aerospace, IT, and complex system development industries

While both roles require engineering backgrounds and similar certifications, Modeling And Simulation Engineers focus on creating and testing simulation models, whereas Systems Engineers oversee the integration and functionality of entire systems. Both collaborate closely but serve different specialized functions within engineering projects.

What does a modeling and simulation engineer do?

A modeling and simulation engineer develops and analyzes digital models to replicate real-world systems or processes, often using specialized software and programming skills. They create simulations to test scenarios, optimize designs, and support decision-making in fields like aerospace, defense, or manufacturing, typically requiring knowledge of physics, mathematics, and engineering principles.

What engineers make $500,000?

Senior modeling and simulation engineers with extensive experience, advanced skills in programming, and expertise in specialized tools can earn salaries approaching or exceeding $500,000, especially in high-demand industries like aerospace, defense, or technology. Such compensation often includes bonuses, stock options, or other incentives for top-tier professionals in leadership or highly specialized roles.
What are popular job titles related to Modeling And Simulation Engineer jobs in Connecticut? For Modeling And Simulation Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Modeling And Simulation Engineer jobs in Connecticut look for? The top searched job categories for Modeling And Simulation Engineer jobs in Connecticut are:
What cities in Connecticut are hiring for Modeling And Simulation Engineer jobs? Cities in Connecticut with the most Modeling And Simulation Engineer job openings:
Modeling And Simulation Engineer jobs near you
Infographic showing various Modeling And Simulation Engineer job openings in Connecticut as of July 2026, with employment types broken down into 84% Full Time, and 16% Contract. Highlights an 100% In-person job distribution, with an average salary of $117,388 per year, or $56.4 per hour.
Scientist III, Injectable Drug Product Development

Scientist III, Injectable Drug Product Development

AstraZeneca

New Haven, CT • On-site

Full-time

Posted 29 days ago

AstraZeneca rating

8.4

Company rating: 8.4 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

15th of 74 rated pharmaceutical

Job description

This is what you will do:
The Scientist III will be a key member of the Injectable Drug Product Development (IDPD) team, responsible for driving end-to-end drug product development-from candidate selection through commercial validation and regulatory filing-for parenteral/injectable biologic products. This role demands deep expertise in formulation development, process development, process engineering, scale-up modeling, and technology transfer, leveraging first-principles engineering, computational modeling, and simulation tools to deliver robust, scalable drug products.
You will apply strong process engineering fundamentals to design, model, optimize, and scale drug product manufacturing processes (e.g., mixing, filtration, fill/finish unit operations, hold steps, viscosity management). You will employ process modeling and simulation approaches (e.g., CFD, heat/mass transfer models, DoE-driven process models) to predict scale-dependent behavior, de-risk manufacturing, and support technology transfer to internal and external manufacturing sites.
You will provide scientific leadership for phase-appropriate formulation development of diverse biologic modalities-including monoclonal antibodies (mAbs), enzymes, enzyme fusion proteins, peptides, and AAV gene therapies-informed by biophysical and biochemical characterization data. You will integrate complex datasets to translate findings into formulation compositions, process parameters, control strategies, technical reports, and regulatory filings.
This position interacts regularly with cross-functional staff from Analytical Sciences & Quality Control, Drug Substance Process Development, Device Development, Manufacturing Technical Services, Quality Assurance, and CMC Regulatory Affairs.
You will be responsible for:
  • End-to-End Drug Product Development - Leading formulation development, process development, and technology transfer activities across the full product lifecycle (candidate selection → clinical supply → commercial validation → regulatory filing), translating program goals into experimental plans, decision criteria, timelines, and risk mitigation strategies.

  • Process Engineering & Scale-Up - Designing, optimizing, and scaling drug product unit operations (compounding/mixing, sterile filtration, fill/finish, freeze-thaw, hold steps, viscosity management) using engineering fundamentals, dimensional analysis, and scale-up correlations; conducting robustness and characterization studies to define process design space and critical process parameters.

  • Process Modeling & Simulation - Applying computational tools and simulation approaches (e.g., CFD, mechanistic/empirical process models, heat and mass transfer calculations, DoE-based predictive models) to inform process design, predict scale-dependent effects, support equipment selection, and accelerate development timelines.

  • Technology Transfer - Leading or supporting tech transfer of drug product processes to internal and external (CDMO) manufacturing sites; authoring process descriptions, batch record inputs, and process validation strategies; troubleshooting manufacturing issues and providing on-site support as needed.

  • Formulation Development - Driving phase-appropriate formulation screening, optimization, and selection for injectable biologics using rational design principles informed by biophysical characterization, stability data, and structure-function relationships.

  • Biophysical & Analytical Characterization - Designing and executing laboratory studies using advanced biophysical/analytical methods (e.g., DSC, nanoDSF, CD, fluorescence spectroscopy, SEC-MALS, DLS, AUC, CE-SDS/cIEF, subvisible particle analysis, rheology, viscosity profiling) to support formulation and process decisions; firsthand laboratory work is required.

  • Data Integration & Control Strategy - Integrating complex datasets to establish structure-function relationships, degradation pathways, and mechanism-informed models; translating insights into robust formulations, control strategies, and phase-appropriate specifications.

  • Regulatory & Documentation - Authoring protocols, technical reports, and contributing to CMC sections of regulatory submissions (e.g., IND/IMPD, BLA/MAA), including process descriptions, comparability assessments, and responses to regulatory queries.

  • Cross-Functional Collaboration - Partnering with Analytical Sciences & QC, Drug Substance Process Development, Device Development, Manufacturing Technical Services, Quality Assurance, and CMC Regulatory Affairs to align development plans and ensure on-time program delivery.

  • Team Leadership - Managing and mentoring junior team members in matrix teams; reviewing study designs and data; promoting experimental rigor and documentation excellence.

  • Communication & Initiative - Presenting program status, risks, and recommendations clearly to senior management and cross-functional teams; taking initiative to solve scientific and operational challenges.

  • Safety & Laboratory Operations - Operating primarily in a laboratory environment and complying with all safety procedures; with or without accommodation, able to lift/carry 15/30 pounds (unassisted/assisted) and work around biological, infectious, and hazardous materials while maintaining a safe, orderly workspace.

You will need to have:
  • Education - PhD in Chemical Engineering, Pharmaceutical Sciences, Chemistry, Biochemistry, Biophysics, or a relevant field with 5+ years of industry experience; or MS with 14+ years or BS with 15+ years of relevant experience.

  • End-to-End Drug Product Development Experience - Demonstrated history of leading or significantly contributing to injectable/parenteral biologic drug product development across the full lifecycle: formulation development, process development, and technology transfer to manufacturing. This is a core requirement.

  • Process Engineering & Modeling Expertise - Strong background in process engineering principles, process modeling, simulation (e.g., CFD, mechanistic models, empirical scale-up correlations), and scale-up of drug product unit operations (fill/finish, mixing, filtration, hold steps). Ability to apply first-principles engineering and computational tools to predict and solve scale-dependent manufacturing challenges.

  • Formulation & Protein Science Foundation - Scientific and practical knowledge of protein biochemistry, biophysics, protein formulation, and stability for parenteral biologics.

  • Hands-On Laboratory Capability - Ability to design, execute, and troubleshoot laboratory studies; generate high-quality data using biophysical and analytical instrumentation.

  • Collaboration & Communication - Excellent interpersonal skills; strong ability to communicate effectively across functions and levels; proven ability to mentor and motivate team members within the department and in matrix/cross-functional teams.

  • Problem Solving & Strategic Thinking - Makes strategic scientific/technical proposals aligned with corporate and project objectives; takes initiative in problem solving and delivering solutions to complex scientific and engineering challenges.

  • Work Environment - Able, with or without accommodation, to lift/carry 15/30 pounds unassisted/assisted; work comfortably in a controlled environment with and around biological, infectious, and hazardous materials; gown/de-gown PPE; use a computer; engage in communications via phone, video, and electronic messaging.

We would prefer you to have:
  • Technical Development Project Execution - Experience leading or managing technical development projects end-to-end, including planning, resourcing, timeline management, risk assessment, and decision governance within a pharmaceutical/biotech development environment.

  • Process Engineering and Scale-Up

  • Regulatory & Quality Knowledge - Familiarity with global regulatory guidances (ICH, FDA, EMA), cGMPs, and Quality/Compliance expectations for the development of parenteral biologics and gene therapy vectors.

  • Digital & Data Tools - Experience with electronic lab notebooks, statistical software (JMP/Minitab), process simulation software, MS Office (Word, PowerPoint, Excel), GraphPad, Visio, Adobe Pro, and EndNote; experience maintaining laboratory instrumentation (preventative maintenance, data backup, software upgrades).

  • Manufacturing Exposure - Direct experience supporting GMP manufacturing, process validation campaigns, or CDMO management.

Date Posted
22-Jul-2026
Closing Date
28-Jul-2026
Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.

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