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Remote Computational Chemical Engineering Jobs in Boston, MA

SES

Computational Materials Scientist

Woburn, MA · On-site +1

$180K - $200K/yr

D. in Mechanical Engineering, Materials Science, Chemical Engineering, or a closely related computational/physics field. * Core Simulation Expertise: Deep and extensive experience in atomistic ...

Absentia Labs

Member of the Technical Staff

Boston, MA · Remote

Computational biology and bioinformatics * Backend and distributed systems * Data engineering and ... remote-friendly depending on role. Preference for candidates open to working closely with the ...

AbbVie

Computational Analyst (Neuroscience)

Cambridge, MA · On-site +1

$126K - $142K/yr

... H/remote)). Key Responsibilities * Work closely with other computational biologists ... Rshiny) in collaboration with bioinformatics engineers. * Communicate results to cross-functional ...

YO AI Labs

Hardware Expert - Remote

Boston, MA · Remote

$50 - $100/hr

Interpret engineering drawings and create accurate 3D CAD models. * Develop complex mechanical ... Computational Geometry Qualifications * Strong experience with CAD and mechanical design. * Good ...

YO AI Labs

Hardware Expert - Remote

Boston, MA · Remote

$50 - $100/hr

Interpret engineering drawings and create accurate 3D CAD models. * Develop complex mechanical ... Computational Geometry Qualifications * Strong experience with CAD and mechanical design. * Good ...

Ocean Spray

Environmental Engineer

Boston, MA · On-site +1

We are open to remote candidates. In this role, the Environmental Engineer is responsible for ... Bachelor's degree in Environmental Engineering, Chemical Engineering, Environmental Science, or ...

Tempus

Scientist II, Translational Research

Boston, MA · On-site +1

$100K - $150K/yr

Work with Product and Engineering teams to streamline workflow of computational analyze Contribute ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

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Remote Computational Chemical Engineering information

See Boston, MA salary details

$100.5K

$146.8K

$174.9K

How much do remote computational chemical engineering jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote computational chemical engineering in Boston, MA is $146,847.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,800.00 and $161,300.00 per year, depending on experience, location, and employer.

What is remote computational chemical engineering?

Remote computational chemical engineering is a field where engineers use computer simulations and mathematical models to design, analyze, and optimize chemical processes from a remote location. These professionals work with specialized software to predict the behavior of chemical systems, such as reaction kinetics, fluid dynamics, and material properties. By working remotely, they can collaborate with teams across the globe, contribute to research and development, and solve complex engineering problems without being physically present in a lab or office. This approach offers flexibility and access to a wider range of projects in academia, industry, and research organizations.

What are the key skills and qualifications needed to thrive as a remote computational chemical engineer?

To thrive as a Remote Computational Chemical Engineer, you need a solid background in chemical engineering, advanced mathematics, and computational modeling, often supported by a relevant degree such as a BS or MS in Chemical Engineering. Proficiency with simulation software (e.g., Aspen Plus, COMSOL Multiphysics), programming languages (such as Python or MATLAB), and familiarity with cloud collaboration tools are typically required. Strong problem-solving abilities, self-motivation, and effective communication are standout soft skills for remote collaboration and project management. These skills ensure the accurate modeling and optimization of chemical processes, efficient remote teamwork, and successful delivery of complex engineering solutions.

What are some common challenges faced by remote computational chemical engineers and how can they be addressed?

Remote computational chemical engineers often encounter challenges related to effective collaboration and communication with multidisciplinary teams, as projects can involve chemists, software developers, and project managers across different time zones. Managing complex simulations and large data sets securely from a remote environment also requires robust IT infrastructure and self-discipline. To address these challenges, it's helpful to establish clear communication protocols, leverage collaboration tools, and proactively schedule regular check-ins with team members. Additionally, remote engineers should ensure they have access to reliable computing resources and seek out opportunities for virtual training to stay updated with the latest software and modeling techniques.

What is the difference between Remote Computational Chemical Engineering vs Remote Process Engineer?

AspectRemote Computational Chemical EngineeringRemote Process Engineer
Required CredentialsBachelor's/Master's in Chemical Engineering, programming skillsBachelor's/Master's in Chemical or Mechanical Engineering, process knowledge
Work EnvironmentPrimarily computer-based, data analysis, modelingDesign, optimize, and troubleshoot industrial processes remotely
Industry UsageResearch, simulation, software developmentManufacturing, refining, chemical production
Common Search/ComparisonRemote Chemical Engineering roles involving computationRemote process optimization roles

Remote Computational Chemical Engineering focuses on modeling, simulation, and data analysis using programming skills, often in research or software development contexts. In contrast, Remote Process Engineer roles involve designing and optimizing chemical processes remotely within manufacturing or production environments. Both roles require chemical engineering credentials but differ in daily tasks and industry focus.

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

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

What are popular job titles related to Remote Computational Chemical Engineering jobs in Boston, MA?

For Remote Computational Chemical Engineering jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Remote Computational Chemical Engineering jobs in Boston, MA look for?

The top searched job categories for Remote Computational Chemical Engineering jobs in Boston, MA are:

What cities near Boston, MA are hiring for Remote Computational Chemical Engineering jobs?

Cities near Boston, MA with the most Remote Computational Chemical Engineering job openings:

Remote Computational Chemical Engineering jobs near you
Infographic showing various Remote Computational Chemical Engineering job openings in Boston, MA as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, 4% Contract, and 1% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $146,847 per year, or $70.6 per hour.

Computational Physics Expert - Remote

YO AI Labs

Boston, MA • Remote

$80 - $100/hr

Full-time

Posted 10 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.