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Remote Computational Materials Science Jobs (NOW HIRING)

SES

Computational Materials Scientist

Woburn, MA · On-site +1

This powerful combination of "AI for science" and material engineering enables batteries that can ... As a Computational Materials Scientist, you will be a core data-driven modeler responsible for ...

Mat3ra

Computational Materials Scientist

Walnut Creek, CA · On-site +1

$90K - $140K/yr

Overview We look for computational materials scientists excited about bridging the gap between ... science to help us develop a software framework for designing and discovering new advanced ...

Alignerr

Background in computational materials science, density functional theory (DFT), or related ... Fully remote and flexible -- work when and where it suits you * Freelance autonomy with the ...

Alignerr

$75 - $90/hr

... 75-90/hr Remote Freelance STEM What if your deep expertise in materials science could directly ... Background in computational materials science or atomistic simulation * Familiarity with density ...

Alignerr

$75 - $90/hr

Background in computational materials science, density functional theory, or related modeling ... Fully remote and flexible -- set your own hours and work from anywhere * Freelance autonomy with ...

SES

Technical Product Manager

Woburn, MA · On-site +1

$182.70K - $211.10K/yr

This role requires deep literacy in computational materials science and AI4Science to coordinate strategy across our research, engineering, and materials teams. As the Technical Product Manager, you ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Working knowledge of computational and analytical corrosion research methods * Comfortable working ...

Azulene Labs

Computational Chemistry/Physics (MS/BS) Bay Area preferred; exceptional remote candidates ... MS or BS in chemistry, physics, applied physics, materials science, or a related field * Solid ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Perform experimental and computational studies of materials, including design of experimental ...

Berkely Lab

$94.74K - $227.38K/yr

Research Scientist The Center for Computational Sciences and Engineering (CCSE) develops and ... Demonstrated expertise in microelectronics and material science applications. * Demonstrated ...

New

Azulene Labs

Computational Physicist (PhD) Bay Area preferred; exceptional remote candidates considered ... materials simulation, combining deep analytical reasoning with high-performance scientific ...

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All JobsRemote Computational Materials Science Jobs

Remote Computational Materials Science information

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$56.5K

$83.1K

$98K

How much do remote computational materials science jobs pay per year?

As of May 28, 2026, the average yearly pay for remote computational materials science in the United States is $83,109.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $93,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Computational Materials Scientist, and why are they important?

To thrive as a Remote Computational Materials Scientist, you need a strong background in materials science, physics, or chemistry, often with a PhD or advanced degree, and expertise in computational modeling. Familiarity with simulation software like VASP, Quantum ESPRESSO, or LAMMPS, as well as proficiency in programming languages such as Python or Fortran, is typically required. Excellent problem-solving skills, self-motivation, and clear written communication are crucial for collaborating remotely and conveying complex results. These competencies enable effective independent research, accurate data analysis, and seamless teamwork in a virtual scientific environment.

What are some common challenges faced when working remotely in computational materials science, and how can they be addressed?

Remote computational materials scientists often encounter challenges such as coordinating with interdisciplinary teams across different time zones and ensuring efficient access to high-performance computing resources. Clear communication through regular virtual meetings and collaborative platforms helps maintain project alignment. Additionally, staying organized with version control systems and thorough documentation is essential for seamless teamwork. Being proactive about addressing technical issues, such as software compatibility or data transfer limitations, also ensures productivity.

What is remote computational materials science?

Remote computational materials science involves using computer simulations and modeling techniques to study and design materials, all while working from a remote location rather than in a physical lab. Researchers in this field use software tools to predict the properties and behaviors of materials at the atomic or molecular level, which can accelerate the discovery of new materials for applications in energy, electronics, and manufacturing. Remote computational materials scientists commonly collaborate with teams online, analyze data, and run simulations on high-performance computing systems accessible via the internet.

What is the difference between Remote Computational Materials Science vs Remote Materials Data Analyst?

AspectRemote Computational Materials ScienceRemote Materials Data Analyst
Required CredentialsAdvanced degrees in materials science, physics, or chemistry; experience with computational modelingBachelor's or master's in data science, materials science, or related fields; proficiency in data analysis tools
Work EnvironmentResearch-focused, using simulation software and programmingData processing, visualization, and reporting using analytics platforms
Employer & Industry UsageResearch institutions, R&D departments in manufacturing, tech companiesManufacturers, consulting firms, research labs analyzing material data

Remote Computational Materials Science involves simulating and modeling materials at the atomic or molecular level, requiring programming and scientific expertise. In contrast, Remote Materials Data Analysts focus on analyzing existing material data to inform decisions, emphasizing data skills. Both roles are essential in materials research but differ in their core activities and skill sets.

More about Remote Computational Materials Science jobs
What cities are hiring for Remote Computational Materials Science jobs? Cities with the most Remote Computational Materials Science job openings:
What are the most commonly searched types of Computational Materials Science jobs? The most popular types of Computational Materials Science jobs are:
What states have the most Remote Computational Materials Science jobs? States with the most job openings for Remote Computational Materials Science jobs include:
What job categories do people searching Remote Computational Materials Science jobs look for? The top searched job categories for Remote Computational Materials Science jobs are:
Remote Computational Materials Science jobs near you
Infographic showing various Remote Computational Materials Science job openings in the United States as of May 2026, with employment types broken down into 5% As Needed, 10% Full Time, and 85% Part Time. Highlights an 2% Physical, and 98% Remote job distribution, with an average salary of $83,109 per year, or $40 per hour.

Remote | Materials Science R&D Workflow Consultant -- $60-$85/hour

24-MAG

New York, NY • On-site, Remote

$60 - $85/hr

Part-time

Posted yesterday

Job description

We are sharing a specialised part-time consulting opportunity for professionals experienced in materials science, materials R&D, characterization workflows, process development, reliability analysis, computational materials work, and structured scientific documentation.

This role supports current and upcoming remote consulting opportunities focused on structured materials science review, R&D workflow analysis, experimental documentation, characterization report assessment, simulation review, technology transfer materials, and high-quality project execution. Selected professionals will apply their materials science expertise to review realistic research scenarios, evaluate technical requirements, prepare structured written outputs, and support accurate, evidence-based materials R&D workflow tasks.

Key Responsibilities

Professionals in this role may contribute to:

Materials R&D & Experimental Workflow Review

  • Review materials science scenarios involving experimental write-ups, project proposals, research plans, process development notes, and technology transfer materials
  • Evaluate R&D documentation against source materials, technical requirements, experimental constraints, and expected scientific outcomes
  • Support structured review of research records, lab documentation, project memos, IP disclosures, and materials development workflows
  • Identify missing assumptions, documentation gaps, technical inconsistencies, and expected research review outcomes

Characterization, Reliability & Failure Analysis

  • Review characterization scenarios involving XRD, SEM/TEM, spectroscopy, thermal analysis, reliability testing, failure analysis, and advanced materials evaluation
  • Evaluate characterization reports and test outputs against documented criteria, source data, material properties, and technical requirements
  • Support structured review of metals, polymers, ceramics, composites, semiconductor materials, or related materials systems
  • Prepare clear written explanations for materials science decisions based on source materials and verifiable technical criteria

Computational Materials & Process Documentation

  • Review computational or simulation-based workflows involving DFT, molecular dynamics, process simulations, simulation results, and model documentation
  • Support structured review of materials workflows connected to tools such as VASP, Materials Studio, LabVantage, LabWare LIMS, ANSYS Fluent, STAR-CCM+, or similar systems
  • Translate materials science workflows into clear, structured task documentation and review criteria
  • Maintain accuracy, consistency, and professional judgment across submitted work

Ideal Profile

Strong candidates may have:

  • 3+ years of experience in materials science, materials R&D, characterization, process development, computational materials science, reliability engineering, failure analysis, or related scientific roles
  • Background in one or more areas such as metals, polymers, ceramics, composites, semiconductor materials, characterization, DFT, molecular dynamics, process scale-up, or advanced materials reliability
  • Familiarity with tools and systems such as VASP, Materials Studio, LabVantage, LabWare LIMS, ANSYS Fluent, STAR-CCM+, microscopy platforms, spectroscopy tools, or similar research systems
  • Comfort reading and preparing materials science artifacts such as experimental write-ups, characterization reports, simulation results, technology transfer memos, IP disclosures, project proposals, and research summaries
  • Strong analytical thinking and written communication skills
  • Ability to translate materials science workflows into clear, structured task documentation

Educational Background

  • Master's or PhD degree in materials science, chemistry, physics, chemical engineering, mechanical engineering, electrical engineering, or a related scientific field is helpful
  • Equivalent practical experience in materials R&D, characterization, computational materials science, process development, or reliability analysis is also highly relevant

Nice to Have

  • Experience in Fortune 500 R&D, national labs, R1 university research groups, semiconductor materials, advanced manufacturing, chemical materials, or industrial materials development
  • Familiarity with XRD, SEM/TEM, spectroscopy, thermal analysis, DFT, molecular dynamics, LIMS, process simulation, scale-up, or failure analysis workflows
  • Experience preparing or reviewing characterization reports, experimental records, simulation outputs, technology transfer memos, IP disclosures, project proposals, or reliability reports
  • Strong attention to detail in scientific, experimental, and documentation-heavy research environments
  • Experience translating complex technical work into clear written specifications or review criteria

Why This Opportunity

  • Apply materials science and R&D expertise to structured remote project work
  • Contribute to high-quality materials workflow review, characterization documentation, simulation assessment, and research scenario development
  • Work on flexible, project-based assignments aligned with your scientific background
  • Use your materials science judgment in a focused, detail-oriented research environment
  • Remote structure with competitive hourly compensation

Contract Details

  • Independent contractor role
  • Fully remote with flexible scheduling
  • Part-time commitment depending on project availability
  • Competitive rates between $60–$85 per hour depending on expertise
  • Weekly payments via Stripe or Wise
  • Projects may be extended, shortened, or adjusted depending on scope and performance
  • Work will not involve access to confidential or proprietary information from any employer, client, or institution

About the Platform

This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy.