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Computational Physicist Jobs in Chicago, IL (NOW HIRING)

ZS

Computational Modeling Consultant - CMC

Chicago, IL · On-site

$160K - $177K/yr

Develop and apply first-principles and mechanistic models, including CFD, DEM, computational chemistry, and other physics-based approaches, to solve complex CMC and process development challenges.

AbbVie

Director, Computational Sciences

North Chicago, IL · On-site

$182K/yr

Computational chemists within AbbVie's MPDD organization partner across Development Sciences and ... The team develops hierarchical modeling approaches that integrate physics-based atomistic methods ...

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All JobsComputational Physicist JobsComputational Physicist Jobs in Chicago, IL

Computational Physicist information

See Chicago, IL salary details

$144.3K

$171K

$194.9K

How much do computational physicist jobs pay per year?

As of Aug 30, 2026, the average yearly pay for computational physicist in Chicago, IL is $170,986.00, according to ZipRecruiter salary data. Most workers in this role earn between $157,500.00 and $184,300.00 per year, depending on experience, location, and employer.

What is a computational physicist?

A computational physicist is a scientist who uses computer simulations, numerical analysis, and algorithms to solve complex physical problems that are difficult or impossible to address analytically. They work in fields like condensed matter physics, astrophysics, and materials science, modeling phenomena such as atomic interactions or galaxy formation. Their work often involves writing code, analyzing large datasets, and collaborating with experimental and theoretical physicists. Computational physicists play a key role in advancing scientific knowledge by providing insights where traditional methods fall short.

What does a computational physicist do?

A computational physicist applies numerical analysis to solve problems or support theories in physics. In this career, you use knowledge from numerous disciplines, including physics, statistics, mathematics, and computer science, to test a theory. You use algorithms and other methodological tools to crunch large datasets using powerful computers, which helps in solving differential equations and other statistical problems. This can include Monte Carlo calculations and eigenvalue problems. Some people consider computational physics a branch of theoretical physics or its own discipline with specific duties and responsibilities.

What are the key skills and qualifications needed to thrive as a computational physicist, and why are they important?

To thrive as a Computational Physicist, you need a strong background in physics, mathematics, and computer science, typically supported by at least a master's or Ph.D. in physics or a related field. Proficiency in programming languages such as Python, C++, and MATLAB, as well as experience with simulation software and high-performance computing systems, is essential. Strong analytical thinking, problem-solving abilities, and effective teamwork skills help you tackle complex scientific challenges and collaborate on interdisciplinary projects. These skills are crucial for developing accurate models, efficiently solving intricate problems, and advancing scientific research through computational methods.

What are some typical challenges computational physicists face when working on collaborative research projects?

Computational physicists often collaborate with experimentalists, engineers, and other researchers, which can present challenges such as bridging communication gaps between disciplines and integrating diverse data formats or methodologies. Coordinating project timelines to ensure that simulations align with experimental milestones is also common. Additionally, managing large datasets and ensuring reproducibility of results across different computing environments can require careful planning and documentation. Effective teamwork and adaptability are essential to overcome these hurdles and drive successful research outcomes.

What is the difference between Computational Physicist vs Data Scientist?

AspectComputational PhysicistData Scientist
Required CredentialsPhysics degree, often PhD, strong math and programming skillsStatistics, computer science, or related degree, often with a master's or PhD
Work EnvironmentResearch labs, academia, government agencies, scientific institutionsTech companies, finance, healthcare, consulting firms
Industry UsageScientific research, simulations, modeling physical systemsData analysis, predictive modeling, business insights

While both roles require strong programming and analytical skills, Computational Physicists focus on physical systems and scientific research, whereas Data Scientists analyze data to inform business decisions. The choice depends on your interest in scientific research versus data-driven applications.

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The top searched job categories for Computational Physicist jobs in Chicago, IL are:

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Cities near Chicago, IL with the most Computational Physicist job openings:

Computational Physicist jobs near you
Infographic showing various Computational Physicist job openings in Chicago, IL as of August 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $170,986 per year, or $82.2 per hour.

Computational Physics Expert - Remote

YO AI Labs

Chicago, IL • Remote

$80 - $100/hr

Full-time

Posted 3 days ago

New

Job description

Job Title: Computational Physics AI Expert

Role Type: Contractor
Location: Remote

Job Overview

We are seeking experienced Computational Physics Experts to contribute their technical expertise to a project focused on advancing next-generation AI systems. In this role, you will provide real-world examples of computational physics problem-solving and demonstrate how modern AI coding agents can be applied to sophisticated technical workflows.

The ideal candidate is a STEM professional with hands-on experience using AI coding agents such as Codex, Claude Science, Claude Code, and Claude Cowork as active tools in computational and technical work.

No prior experience in AI training is required—your computational physics expertise, technical judgment, and ability to apply agentic tools to complex problems are what matter most.

Scope of Work
  • Provide detailed, real-world walkthroughs of computational physics problem-solving using AI coding agents in complex technical environments.
  • Demonstrate the use of Codex, Claude Science, Claude Code, and Claude Cowork for advanced technical workflows.
  • Document how AI agents are used for tasks such as navigating large codebases, debugging complex issues, developing sophisticated features, and automating multi-step workflows.
  • Clearly describe the approaches, technical decisions, methodologies, and agent-generated sequences used to solve computational problems.
  • Evaluate workflows in which AI agents contribute to architectural changes, codebase modifications, debugging, and ambiguous computational challenges.
  • Develop high-quality technical examples, evaluations, and feedback to support AI training and model improvement.
  • Analyze the accuracy, effectiveness, and limitations of AI-generated solutions in computational physics contexts.
  • Communicate technical findings and insights through clear written and verbal documentation.
  • Collaborate with project stakeholders to refine technical examples, workflows, and evaluation criteria.
Required Skills
  • Computational Physics
  • Python
  • AI Coding Agents
  • Codex
  • Claude Science
  • Claude Code
  • Claude Cowork
  • Debugging
  • Technical Documentation
  • Architectural Change Management
  • Problem-Solving
  • Technical Communication
Preferred Qualifications
  • Advanced hands-on experience in computational physics, scientific computing, numerical methods, simulation, or related technical fields.
  • Demonstrated experience using Codex, Claude Science, Claude Code, and Claude Cowork in real-world technical workflows.
  • Current or recent experience as a STEM professional applying AI coding agents to complex technical problems beyond basic coding assistance.
  • Strong Python programming skills and experience working with scientific or computational codebases.
  • Ability to clearly explain complex, end-to-end technical solutions and the role AI agents played throughout the workflow.
  • Experience generating and evaluating agent-driven sequences and multi-step workflows, rather than relying primarily on conversational AI interactions.
  • Experience debugging complex systems and identifying subtle technical issues with the assistance of AI coding agents.
  • Familiarity with architectural change management, refactoring, and development within large or complex codebases.
  • Strong written and verbal communication skills, with the ability to produce detailed and technically accurate documentation.
  • Strong analytical thinking and the ability to evaluate AI-generated technical solutions critically.