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Computational Physics Jobs in Boston, MA (NOW HIRING)

Computational Materials Scientist

Woburn, MA ยท On-site +1

$180K - $200K/yr

What we Need: The SES AI Prometheus team isseeking an exceptional Computational Materials Scientist to combine physics-based simulation (DFT, MD, quantum modeling) with AI-assisted material ...

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Showing results 1-20

Computational Physics information

See Boston, MA salary details

$151.4K

$179.4K

$204.5K

How much do computational physics jobs pay per year?

As of Aug 29, 2026, the average yearly pay for computational physics in Boston, MA is $179,368.00, according to ZipRecruiter salary data. Most workers in this role earn between $165,200.00 and $193,300.00 per year, depending on experience, location, and employer.

What is computational physics?

Computational physics is a branch of physics that uses computational methods and algorithms to solve complex physical problems that are difficult or impossible to address analytically. It combines physics, computer science, and applied mathematics to simulate physical systems, analyze data, and predict the behavior of matter and energy. Computational physicists often develop and use software to model phenomena such as quantum mechanics, fluid dynamics, material properties, and astrophysics. This field is essential for advancing scientific research in areas where experiments are too costly, dangerous, or impractical.

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 solid background in physics, advanced mathematics, and computer science, typically supported by a relevant degree (such as a PhD or MSc). Proficiency in programming languages like Python, C++, or Fortran, as well as experience with simulation software and high-performance computing, is essential. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate and present complex findings clearly. These skills enable accurate modeling, efficient data analysis, and successful teamwork on complex scientific projects.

What are some common challenges faced by computational physicists when working on interdisciplinary projects?

Computational physicists often collaborate with researchers from fields like engineering, chemistry, or biology, which can introduce challenges related to differing terminologies, methodologies, and priorities. Adapting complex physics models to suit the needs and constraints of other disciplines may require significant adjustments and clear communication. Additionally, integrating diverse data types and software tools can be technically demanding, but overcoming these challenges helps foster innovation and leads to broader scientific impact.

What is the difference between Computational Physics vs Data Scientist?

AspectComputational PhysicsData Scientist
Required CredentialsPhysics degree, computational skills, programmingStatistics, programming, data analysis
Work EnvironmentResearch labs, academia, scientific institutionsTech companies, finance, healthcare
Industry UsageScientific research, simulations, modelingBusiness insights, predictive analytics
Common Search/ComparisonComputational Physics vs Data Scientist

Computational Physics focuses on applying computational methods to solve physical problems, often in research or academia. Data Scientists analyze large datasets to extract insights across various industries. While both roles require programming skills, their applications and work environments differ significantly.

Is computational physics in demand?

Computational physics is in demand across industries such as research, aerospace, finance, and technology, where modeling and simulation are essential. Professionals with strong programming skills in languages like Python, C++, or Fortran and experience with high-performance computing are highly sought after. The field offers opportunities in academia, government labs, and private sector companies focused on scientific and technological innovation.

What can you do with a computational physics degree?

A computational physics degree prepares individuals for roles in research, data analysis, simulation development, and modeling across industries such as aerospace, energy, finance, and technology. Graduates often work as physicists, data scientists, software developers, or in technical consulting, utilizing programming skills and scientific knowledge to solve complex problems. Advanced positions may require additional specialization or experience with tools like Python, C++, or MATLAB.

Who hires computational physicists?

Computational physicists are hired by research institutions, government laboratories, universities, and private industry companies involved in scientific research, technology development, and data analysis. They often work in environments that require strong programming skills and knowledge of physics, using tools like simulation software and high-performance computing systems.

What are the most commonly searched types of Computational Physics jobs in Boston, MA?

The most popular types of Computational Physics jobs in Boston, MA are:

What are popular job titles related to Computational Physics jobs in Boston, MA?

For Computational Physics jobs in Boston, MA, the most frequently searched job titles are:

Infographic showing various Computational Physics job openings in Boston, MA as of August 2026, with employment types broken down into 2% Internship, 94% Full Time, 2% Part Time, and 2% Contract. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $179,368 per year, or $86.2 per hour.

Computational Physics Expert - Remote

Boston, MA โ€ข Remote

$80 - $100/hr

Full-time

Posted 4 days ago


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.