Remote

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.