1

From Home Computational Materials Science Jobs in New York

Plasma-Materials Scientist

Kearny, NJ · On-site

$100K - $160K/yr

Utilize computational and simulation tools to perform plasma-surface interaction simulations ... Master's degree in materials science, engineering, applied plasma physics, chemistry, or a related ...

Utilize computational and simulation tools to perform plasma-surface interaction simulations ... Master's degree in materials science, engineering, applied plasma physics, chemistry, or a related ...

Computational Designer

New York, NY · On-site

$75K - $225K/yr

Working across disciplines-from architecture and ecology to materials science and computation-we ... average home, filter enough water to support thirteen neighborhoods, and reduce ambient ...

... scientists. You will design, implement, and scale computational pipelines for single-cell ... Collaborate with wet-lab and computational teams to integrate data from diverse experimental ...

... scientists. You will design, implement, and scale computational pipelines for single-cell ... Collaborate with wet-lab and computational teams to integrate data from diverse experimental ...

next page

Showing results 1-20

From Home Computational Materials Science information

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, typically supported by an advanced degree (MS or PhD) and expertise in computational modeling. Proficiency in programming languages such as Python or C++, experience with simulation software (e.g., VASP, LAMMPS), and familiarity with high-performance computing environments are essential. Strong problem-solving abilities, self-motivation, and effective communication skills help you collaborate virtually and manage independent research. These skills and qualities are crucial for conducting complex simulations, publishing research, and contributing to interdisciplinary teams in a remote work setting.

How do remote computational materials scientists typically collaborate with experimental teams and other researchers?

Remote computational materials scientists often work closely with experimentalists, data scientists, and other researchers through virtual meetings, shared cloud-based platforms, and collaborative tools like version control systems. Regular video conferences and clear documentation are essential for staying aligned on project goals and integrating computational findings with experimental results. While working from home offers flexibility, it also requires strong communication skills to ensure successful interdisciplinary collaboration and timely project delivery.

What is a 'From Home Computational Materials Science' job?

A 'From Home Computational Materials Science' job involves conducting research, simulations, and data analysis related to materials science using computer-based methods, all while working remotely. Professionals in this field use software to model the properties and behaviors of materials, predict new material structures, and optimize material performance for various applications. These roles often require a strong background in physics, chemistry, programming, and computational modeling, and they allow scientists and engineers to contribute to research projects without needing to be physically present in a laboratory or office setting.

What is the difference between From Home Computational Materials Science vs Computational Materials Engineer?

AspectFrom Home Computational Materials ScienceComputational Materials Engineer
CredentialsTypically requires a PhD or Master's in Materials Science, Physics, or related fieldsRequires a degree in Materials Science, Engineering, or related disciplines; often a Master's or PhD
Work EnvironmentPrimarily remote, using computer simulations and modeling softwareUsually in-office or hybrid, combining lab work and computer modeling
Industry UsageUsed in research, academia, and some R&D departmentsCommon in manufacturing, R&D, and product development sectors

From Home Computational Materials Science focuses on remote research and simulation work, while Computational Materials Engineer often involves hands-on engineering and on-site collaboration. Both roles require advanced degrees and involve modeling, but differ in work environment and application.

What are the most commonly searched types of Computational Materials Science jobs in New York? The most popular types of Computational Materials Science jobs in New York are:
What are popular job titles related to From Home Computational Materials Science jobs in New York? For From Home Computational Materials Science jobs in New York, the most frequently searched job titles are:
What job categories do people searching From Home Computational Materials Science jobs in New York look for? The top searched job categories for From Home Computational Materials Science jobs in New York are:
What cities in New York are hiring for From Home Computational Materials Science jobs? Cities in New York with the most From Home Computational Materials Science job openings:

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.