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Computational Modeling Simulation Multiphysics Jobs in Houston, TX

HGA

Leak Detection Engineer

Houston, TX · On-site

... Computational Pipeline Monitoring) performance evaluations and recommend improvements. • ... pipeline simulation and modeling. • Strong working knowledge of fluid properties, hydraulic ...

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All JobsComputational Modeling Simulation Multiphysics JobsComputational Modeling Simulation Multiphysics Jobs in Houston, TX

Computational Modeling Simulation Multiphysics information

See Houston, TX salary details

$37.2K

$96.7K

$137.5K

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

As of Aug 6, 2026, the average yearly pay for computational modeling simulation multiphysics in Houston, TX is $96,696.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $123,700.00 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 common challenges faced by professionals in computational modeling simulation multiphysics, 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 are popular job titles related to Computational Modeling Simulation Multiphysics jobs in Houston, TX? For Computational Modeling Simulation Multiphysics jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Computational Modeling Simulation Multiphysics jobs in Houston, TX look for? The top searched job categories for Computational Modeling Simulation Multiphysics jobs in Houston, TX are:
What cities near Houston, TX are hiring for Computational Modeling Simulation Multiphysics jobs? Cities near Houston, TX with the most Computational Modeling Simulation Multiphysics job openings:
Computational Modeling Simulation Multiphysics jobs near you
Infographic showing various Computational Modeling Simulation Multiphysics job openings in Houston, TX as of July 2026, with employment types broken down into 15% Internship, and 85% Full Time. Highlights an 100% In-person job distribution, with an average salary of $96,696 per year, or $46.5 per hour.

Research Scientist I, Moody Brain Health Institute

UTMB Health

Galveston, TX • On-site

Full-time

Re-posted 25 days ago

UTMB Health rating

7.3

Company rating: 7.3 out of 10

Based on 168 frontline employees who took The Breakroom Quiz

267th of 887 rated healthcare providers

Job description

JOB SUMMARY
The Research Scientist will lead research and development focused on digital twin modeling for brain health and health trajectory prediction within the Moody Brain Health Institute. This role involves designing, implementing, and validating computational models that simulate individual brain and health states across the lifespan. The scientist will integrate multi-modal patient data, including neuroimaging, electrophysiology, genomics, digital biomarkers, and electronic health records (EHRs), to create predictive digital twins capable of informing early diagnosis, personalized interventions, and resilience modeling. The position combines data science, neuroscience, and translational health research to advance precision brain health. They will also contribute to development of grant proposals, and scholarly publications.
ESSENTIAL JOB FUNCTIONS
• Execute the core's research initiatives, advancing key projects and objectives.
• Design and implement predictive models based on patient data to support research and clinical applications.
• Lead the development of virtual patient models to advance personalized medicine and data-driven research.
• Develop comprehensive data extraction strategies for Electronic Health Record (EHR) data, ensuring efficient and accurate analysis.
• Integrate multi-scale data sources such as neuroimaging, omics, cognitive, behavioral, and EHR data to build comprehensive individual-level representations.
• Present research findings and core activities at both internal and external conferences, symposia, and workshops.
• Support grant applications and publications, highlighting innovations in digital twin technologies for brain health.
• Contribute to infrastructure planning, including computing resources, secure data management, and AI model governance.
• Partner with the core director to plan resources and training for the development of AI tools and technologies.
KNOWLEDGE/SKILLS/ABILITIES
• Excellent communication and interpersonal skills with a high degree of professionalism.
• Experience with high-throughput data analysis.
• Proficiency in AI, deep learning, and data fusion techniques for multimodal health data.
• Familiarity with federated or privacy-preserving learning for healthcare applications.
• Excellent communication and collaboration skills, with the ability to convey complex bioinformatics concepts to non-experts.
• Strong analytical skills and a proactive approach to problem resolution.
• Excellent decision-making skills.
EDUCATION & EXPERIENCE
Minimum Qualifications:
• PhD in Bioinformatics, Data Science, Biomedical Informatics, or a related biomedical field.
• Proven experience in Artificial Intelligence and/or statistical modeling,
• Familiarity with EHR data extraction, and analysis.
• Excellent communication skills and ability to collaborate with interdisciplinary teams.
Preferred Qualifications:
• Experience in working with AI and machine learning models, particularly in the biomedical context.
• Experience in digital twin frameworks, personalized modeling, or health trajectory prediction.
• Proven ability to lead collaborative, data-driven projects across disciplines.
• Prior involvement in leading or managing research projects.
SALARY:
Commensurate with experience.
EQUAL EMPLOYMENT OPPORTUNITY:
UTMB Health strives to provide equal opportunity employment without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, genetic information, disability, veteran status, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. As a Federal Contractor, UTMB Health takes affirmative action to hire and advance protected veterans and individuals with disabilities.

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