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Modeling And Simulation Jobs in Tennessee (NOW HIRING)

AEDC's mission is to conduct developmental test and evaluation for the Nation through modeling, simulation, and ground and flight tests. Execution of the mission requires a large team of highly ...

... modeling software. Responsibilities include building, calibrating, and applying hydraulic models to evaluate existing system capacity, simulate operational conditions, and assess proposed system ...

... modeling software. Responsibilities include building, calibrating, and applying hydraulic models to evaluate existing system capacity, simulate operational conditions, and assess proposed system ...

... modeling software. Responsibilities include building, calibrating, and applying hydraulic models to evaluate existing system capacity, simulate operational conditions, and assess proposed system ...

... modeling software. Responsibilities include building, calibrating, and applying hydraulic models to evaluate existing system capacity, simulate operational conditions, and assess proposed system ...

... modeling software. Responsibilities include building, calibrating, and applying hydraulic models to evaluate existing system capacity, simulate operational conditions, and assess proposed system ...

Statistical Analysis (hypothesis testing, regression, or design of experiments); and Mathematical Modeling (simulation or optimization). • Ability to formulate good judgments and clear rationale in ...

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Modeling And Simulation information

See Tennessee salary details

$35.4K

$91.9K

$130.7K

How much do modeling and simulation jobs pay per year?

As of Jun 17, 2026, the average yearly pay for modeling and simulation in Tennessee is $91,901.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,200.00 and $117,500.00 per year, depending on experience, location, and employer.

What is the difference between Modeling And Simulation vs Data Analyst?

AspectModeling And SimulationData Analyst
Required CredentialsBachelor's or higher in engineering, computer science, or related fields; often certifications in simulation softwareBachelor's in statistics, mathematics, or related fields; certifications in data analysis tools
Work EnvironmentResearch labs, engineering firms, government agenciesBusiness, finance, healthcare, or tech companies
Industry UsageEngineering, defense, aerospace, manufacturingFinance, marketing, healthcare, technology
Common Search & ComparisonModeling And Simulation vs Data Analyst

While both roles involve data and technical skills, Modeling And Simulation focuses on creating models to predict and analyze systems, often in engineering or scientific contexts. Data Analysts interpret data to inform business decisions. The roles share skills but differ in application and industry focus.

What engineer makes $500,000 a year?

Senior engineers in specialized fields such as aerospace, petroleum, or software engineering with extensive experience and advanced skills can earn $500,000 or more annually, often including bonuses and stock options. High-level roles in these industries typically require advanced degrees, certifications, and leadership responsibilities.

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

To thrive as a Modeling and Simulation Specialist, you need strong analytical abilities, proficiency in mathematics, and a background in computer science or engineering, often supported by a relevant degree. Expertise with simulation software (such as MATLAB, Simulink, or Arena), programming languages (like Python or C++), and knowledge of modeling standards is typically required. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and collaborating with multidisciplinary teams. These skills ensure accurate models, effective simulations, and actionable insights that drive decision-making in complex systems.

What jobs can 3D modeling get you?

3D modeling skills can lead to jobs such as 3D artist, character designer, environment artist, or technical artist in industries like gaming, film, animation, and product design. These roles often require proficiency with software like Blender, Maya, or 3ds Max and may involve creating models for visualization, animation, or manufacturing. Opportunities can also include roles in virtual reality, architecture, and simulation development.

How do I start a career in modeling?

To start a career in modeling, develop a strong portfolio showcasing your appearance and versatility, and gain experience through local auditions or open calls. Building connections in the industry, maintaining good physical health, and understanding industry standards are also important steps.

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

Professionals in Modeling and Simulation often encounter challenges such as integrating complex data from multiple sources, ensuring model accuracy, and communicating technical results to non-technical stakeholders. Addressing these challenges typically involves close collaboration with subject matter experts, ongoing model validation and verification, and using clear visualizations to explain insights. Building strong interdisciplinary communication skills and staying current with evolving simulation tools can also help professionals effectively navigate these challenges.

What is the highest paying model job?

In modeling and simulation, senior roles such as Lead Simulation Engineer or Simulation Manager tend to have the highest salaries, often exceeding six figures, especially in industries like aerospace, defense, or high-tech sectors. These positions typically require advanced technical skills, experience with simulation software, and often a background in engineering or computer science.

What are modeling and simulation jobs?

Modeling and simulation jobs involve creating digital or mathematical models to represent real-world systems, processes, or phenomena, and then using simulations to analyze their behavior under various scenarios. Professionals in this field use specialized software and computational techniques to predict outcomes, optimize designs, and inform decision-making in industries like engineering, defense, healthcare, and manufacturing. These roles often require strong analytical skills, proficiency in programming, and a background in mathematics or science. Modeling and simulation experts help organizations save time and resources by testing ideas virtually before applying them in real life.
What job categories do people searching Modeling And Simulation jobs in Tennessee look for? The top searched job categories for Modeling And Simulation jobs in Tennessee are:
Infographic showing various Modeling And Simulation job openings in Tennessee as of June 2026, with employment types broken down into 100% Full Time. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $91,901 per year, or $44.2 per hour.
Postdoctoral Research Associate, Atomistic Simulations & AI-Driven Molecular Modeling

Postdoctoral Research Associate, Atomistic Simulations & AI-Driven Molecular Modeling

Oak Ridge National Laboratory

Oak Ridge, TN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Oak Ridge National Laboratory rating

9.3

Company rating: 9.3 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

3rd of 103 rated laboratories


Job description

Requisition Id 16217
Overview:
The Multiscale Biomedical Systems Group within the Advanced Computing in Health (ACH) section of the Computational Sciences and Engineering Division (CSED) at Oak Ridge National Laboratory (ORNL) seeks a motivated Postdoctoral Research Associate.
This position primarily focuses on large-scale molecular dynamics (MD) simulations and AI-integrated multiscale modeling of complex biosystems. The successful candidate will also contribute to efforts that bridge molecular, cellular, and systems-level modeling, with growing relevance to emerging paradigms such as whole-cell modeling and networked biological systems.
You will work at the intersection of high-performance computing (HPC), computational biophysics, and machine learning, leveraging leadership-class computing resources and collaborating across ORNL, federal agencies, and academic partners.
Key Responsibilities:
  • Develop and apply scalable molecular dynamics (MD) and multiscale simulation workflows for biomolecular systems (proteins, enzymes, membranes, and complexes)
  • Integrate AI/ML approaches with physics-based simulations to accelerate discovery and improve predictive fidelity
  • Contribute to cross-scale modeling frameworks linking molecular interactions to cellular and network-level behavior (e.g. protein-protein interaction, PPI, network analysis)
  • Optimize simulation codes and workflows for leadership-class HPC architectures
  • Collaborate across interdisciplinary teams spanning biology, chemistry, computer science, and applied mathematics
  • Publish findings in high-impact journals and present at leading conferences

Required Qualifications:
  • Ph.D. (within 0-5 years) in computational bioscience, computational biophysics, computer science, or a related field
  • Strong programming skills in C++, Python, or similar scientific computing languages
  • Hands-on experience with MD simulation tools such as NAMD, GROMACS, AMBER, or LAMMPS, and visualization tools (e.g., VMD, PyMOL)
  • Experience working on high-performance computing (HPC) systems
  • Demonstrated ability to conduct independent research with a good publication record
  • Excellent written and verbal communication skills for interdisciplinary collaboration
  • Commitment to ORNL's core values: Impact, Integrity, Teamwork, Safety, and Service

Preferred Qualifications:
  • Deep expertise in atomistic and multiscale simulation methods (e.g., MD, enhanced sampling, QM/MM)
  • Experience improving performance and scalability of simulation workflows via:
    • Parallelization and performance engineering
    • GPU/accelerator optimization
    • Algorithmic innovation
  • Experience applying machine learning or AI to molecular simulation, including:
    • Surrogate models or learned potentials
    • Generative models for biomolecular design
    • Representation learning for biomolecular systems
  • Familiarity with protein-protein interaction (PPI) networks, signaling pathways, or systems biology models (bioinformatics tools and models)
  • Experience with integrated multiscale modeling frameworks connecting molecular dynamics to cellular or tissue-scale processes
  • Experience with deep learning frameworks such as PyTorch or TensorFlow
  • Exposure to AI-enabled scientific workflows that couple simulation with data-driven modeling, including emerging approaches involving foundation models or scientific LLMs

Special Requirements:
Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding.
Security, Credentialing, and Eligibility Requirements:
For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required. Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation.
To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.
About ORNL:
As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation's most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.
ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience.
Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.
If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov
This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.
We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.
ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.

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