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Part Time Computational Material Science Jobs (NOW HIRING)

Science Tutors work on campus at the Learning Center under the supervision of the Coordinator of ... Judy Sanders, Director of Human Resources All application materials must be uploaded to the ...

Science Tutors work on campus at the Learning Center under the supervision of the Coordinator of ... Judy Sanders, Director of Human Resources All application materials must be uploaded to the ...

Computational Designer Staff

Grand Prairie, TX · On-site +1

$19.50 - $24/hr

... science, engineering, industrial design, physics, or related degree or relevant experience • ... Ability to Work Remotely: Part-time Remote Telework: The employee selected for this position will ...

Computational Designer Staff

Grand Prairie, TX · On-site +1

$19.50 - $24/hr

... science, engineering, industrial design, physics, or related degree or relevant experience • ... Ability to Work Remotely: Part-time Remote Telework: The employee selected for this position will ...

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Part Time Computational Material Science information

What are some typical projects or tasks a part-time computational material scientist might work on, and how is work typically structured within a part-time schedule?

As a part-time computational material scientist, you can expect to work on focused projects such as running simulations to predict material properties, analyzing data from computational experiments, or assisting in the development of new algorithms and models. Tasks often include collaborating remotely with full-time researchers, attending virtual meetings, and preparing reports or presentations on your findings. The workload is typically structured to fit your availability, allowing you to contribute to ongoing research while balancing other commitments. Communication and flexibility are key, as you may coordinate with multidisciplinary teams and adjust priorities based on project needs.

What are the key skills and qualifications needed to thrive as a Part Time Computational Material Science professional, and why are they important?

To thrive as a Part Time Computational Material Science professional, you need a solid background in materials science, physics, or engineering, often supported by a relevant degree and experience with computational modeling. Familiarity with tools such as Density Functional Theory (DFT) software, molecular dynamics packages, and programming languages like Python or MATLAB is typically required. Strong analytical thinking, problem-solving, and the ability to communicate complex findings clearly are vital soft skills. These capabilities enable effective research, accurate simulations, and collaboration within interdisciplinary teams, driving innovation and advancement in materials development.

What is the difference between Part Time Computational Material Science vs Part Time Materials Engineer?

AspectPart Time Computational Material SciencePart Time Materials Engineer
Required CredentialsTypically requires a degree in materials science, physics, or engineering; familiarity with computational toolsRequires a degree in materials science, mechanical engineering, or related field; practical experience in materials testing
Work EnvironmentPrimarily office-based, using simulation software and data analysis toolsLaboratory or manufacturing settings, performing experiments and material testing
Industry UsageUsed in research, development, and simulation-focused roles within tech and manufacturing sectorsApplied in product development, quality control, and manufacturing processes

Part Time Computational Material Science focuses on computer-based simulations and modeling of materials, ideal for research roles. In contrast, Part Time Materials Engineer involves hands-on testing and practical application in labs or production environments. Both roles require a background in materials science but differ in work setting and daily tasks.

What is a part-time computational material science job?

A part-time computational material science job involves using computer-based simulations and modeling to study and predict the properties and behaviors of materials, but on a reduced or flexible work schedule. Professionals in this role may work on projects such as developing new materials, optimizing existing materials, or supporting experimental research with computational insights. These jobs are ideal for students, researchers, or professionals who need flexible hours, and often require knowledge of programming, materials science, and simulation software. Tasks can include running simulations, analyzing data, and preparing reports or presentations based on findings.
More about Part Time Computational Material Science jobs
What cities are hiring for Part Time Computational Material Science jobs? Cities with the most Part Time Computational Material Science job openings:
What are the most commonly searched types of Computational Material Science jobs? The most popular types of Computational Material Science jobs are:
What states have the most Part Time Computational Material Science jobs? States with the most job openings for Part Time Computational Material Science jobs include:
Infographic showing various Part Time Computational Material Science job openings in the United States as of June 2026, with employment types broken down into 17% As Needed, 50% Part Time, and 33% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

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

24-MAG

New York, NY • On-site, Remote

$60 - $85/hr

Part-time

Posted 14 days ago


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.