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Computational Modeling Simulation Multiphysics Jobs in Meriden, CT

Sr. Data Scientist

Hartford, CT · On-site +1

$101K - $203K/yr

... computational modeling methods towards data extraction and manipulation. Duties include: design and ... Predictive analysis techniques, including regression, forecasting, and simulations; Visual and ...

Senior Product Manager

New Haven, CT · On-site

$112K - $154K/yr

... computational challenges using quantum computing. Learn more about realizing the value of quantum ... Define detailed product requirements for dual-rail gate-model quantum systems, simulators, and ...

New

... computational challenges using quantum computing. Learn more about realizing the value of quantum ... Develop and maintain CAD models, detailed drawings, bills of materials, and supporting ...

New

Computational Modeling Simulation Multiphysics information

See Meriden, CT salary details

$38.2K

$99.2K

$141.1K

How much do computational modeling simulation multiphysics jobs pay per year?

As of Jul 12, 2026, the average yearly pay for computational modeling simulation multiphysics in Meriden, CT is $99,240.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,900.00 and $126,900.00 per year, depending on experience, location, and employer.

What is the difference between Computational Modeling Simulation Multiphysics vs Computational Engineer?

AspectComputational Modeling Simulation MultiphysicsComputational Engineer
CredentialsTypically requires degrees in engineering, physics, or related fields; certifications in simulation software are commonSimilar educational background; often holds engineering degrees and software certifications
Work EnvironmentPrimarily in R&D labs, engineering firms, or manufacturing settings focusing on complex simulationsInvolved in product development, software development, or systems design in various industries
Industry UsageUsed in aerospace, automotive, energy, and manufacturing for advanced simulationsApplied across industries for designing, analyzing, and optimizing systems and products

While both roles involve computational skills and engineering principles, Computational Modeling Simulation Multiphysics specializes in complex, multi-physics simulations, whereas Computational Engineer focuses on designing and implementing computational solutions across various engineering projects.

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

A strong background in physics, engineering, mathematics, and computational science—typically with an advanced degree—is essential for a Computational Modeling Simulation Multiphysics Engineer. Proficiency in simulation software such as ANSYS, COMSOL Multiphysics, MATLAB, and programming languages like Python or C++ is commonly required, along with familiarity with high-performance computing environments. Analytical thinking, problem-solving skills, and effective communication set standout professionals apart in this field. These capabilities enable accurate modeling of complex physical phenomena, efficient collaboration, and successful project outcomes in research and industry settings.

What is computational modeling simulation multiphysics?

Computational modeling simulation multiphysics refers to the use of computer-based models to simulate and analyze systems that involve multiple interacting physical phenomena—such as fluid dynamics, heat transfer, electromagnetics, and structural mechanics—all at once. This approach allows researchers and engineers to predict complex real-world behavior, optimize designs, and reduce the need for expensive prototypes. Multiphysics simulations are widely used in industries like aerospace, automotive, energy, and biomedical engineering, where accurate modeling of coupled physical processes is critical.

What are some common challenges faced by professionals in Computational Modeling Simulation Multiphysics roles, and how can they be addressed?

One of the main challenges in Computational Modeling Simulation Multiphysics roles is managing the complexity of integrating multiple physical phenomena, such as thermal, structural, and fluid dynamics, into a single simulation. This often requires a deep understanding of both the underlying physics and the numerical methods used by simulation software. Collaborating closely with domain experts and maintaining clear communication within multidisciplinary teams can help address these challenges. Additionally, staying updated with advances in simulation tools and best practices through continuous learning is key to overcoming technical hurdles and ensuring accurate results.
What cities near Meriden, CT are hiring for Computational Modeling Simulation Multiphysics jobs? Cities near Meriden, CT with the most Computational Modeling Simulation Multiphysics job openings:
Infographic showing various Computational Modeling Simulation Multiphysics job openings in Meriden, CT as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $99,240 per year, or $47.7 per hour.
Scientist III, Injectable Drug Product Development

Scientist III, Injectable Drug Product Development

Alexion Pharmaceuticals

New Haven, CT • On-site

Full-time

Posted 16 days ago


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 drivingend-to-end drug product development-from candidate selection through commercial validation and regulatory filing-for parenteral/injectable biologic products. This role demands deepexpertiseinformulation development, process development, process engineering, scale-up modeling, and technology transfer,leveragingfirst-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 willbe 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 commercialvalidation 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, andselectionfor 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;firsthandlaboratory work is required.

  • Data Integration & Control Strategy- Integrating complex datasets toestablishstructure-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 andcomplying withall safety procedures; with or without accommodation, able to lift/carry 15/30 pounds (unassisted/assisted) and workaround biological, infectious, and hazardous materials whilemaintaininga safe, orderly workspace.

You will need to have:

  • Education- PhD in Chemical Engineering, Pharmaceutical Sciences, Chemistry, Biochemistry, Biophysics, or a relevant field with5+ yearsof industry experience; or MS with14+ yearsor BS with15+ yearsof relevant experience.

  • End-to-End Drug Product Development Experience- Demonstratedhistoryof 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 projectobjectives; takes initiative in problem solving and delivering solutions to complex scientific and engineering challenges.

  • Work Environment- Able, with or without accommodation,tolift/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 wouldpreferyou 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 regulatoryguidances(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

25-Jun-2026

Closing Date

08-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.