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Remote Computational Material Science Jobs (NOW HIRING)

Weekday AI

STEM Researcher - Computational Fields

$60 - $90/hr

In this role, you will transform scientific methodologies such as experimental design, hypothesis ... This is a fully remote, full-time engagement requiring approximately 35 hours per week

Booz Allen Hamilton, Inc.

Materials Engineer

Warren, MI · On-site +1

$69K - $158K/yr

... a physical science discipline Nice If You Have: * Experience diagnosing structural material ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

The Pennsylvania State University

$48K - $65K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Earth Science * Computational Biology * Health Informatics * Material Science ICDS Fellows will be ...

System One

Material Sciences Specialist

Novato, CA · Remote

$57 - $62.07/hr

Hybrid - onsite and remote Hours: 8-5 MF (Tuesday and Wednesday onsite) Overview Leading biotechnology company looking for an experienced Material Sciences Specialist. Ideal candidates should have a ...

System One

Material Sciences Specialist

Novato, CA · Remote

$57 - $62.07/hr

Hybrid - onsite and remote Hours: 8-5 MF (Tuesday and Wednesday onsite) Overview Leading biotechnology company looking for an experienced Material Sciences Specialist. Ideal candidates should have a ...

System One

Material Sciences Specialist

Novato, CA · Remote

$57 - $62.07/hr

Hybrid - onsite and remote Hours: 8-5 MF (Tuesday and Wednesday onsite) Overview Leading biotechnology company looking for an experienced Material Sciences Specialist. Ideal candidates should have a ...

System One

Material Sciences Specialist

Novato, CA · Remote

$57 - $62.07/hr

Hybrid - onsite and remote Hours: 8-5 MF (Tuesday and Wednesday onsite) Overview Leading biotechnology company looking for an experienced Material Sciences Specialist. Ideal candidates should have a ...

System One

Material Sciences Specialist

Novato, CA · Remote

$57 - $62.07/hr

Hybrid - onsite and remote Hours: 8-5 MF (Tuesday and Wednesday onsite) Overview Leading biotechnology company looking for an experienced Material Sciences Specialist. Ideal candidates should have a ...

Arcadis

Computational Designer

Seattle, WA · On-site +1

$23.25 - $28.50/hr

... materials to support projects Build quality relationships with team members and across the ... Science, Software Engineering, Hardware Engineering, or related fields (Master's Degree preferred ...

Arcadis

Computational Designer

Austin, TX · On-site +1

$20.25 - $24.75/hr

... materials to support projects Build quality relationships with team members and across the ... Science, Software Engineering, Hardware Engineering, or related fields (Master's Degree preferred ...

Arcadis

Computational Designer

Los Angeles, CA · On-site +1

$22 - $27/hr

... materials to support projects Build quality relationships with team members and across the ... Science, Software Engineering, Hardware Engineering, or related fields (Master's Degree preferred ...

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Remote Computational Material Science information

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$56.5K

$83.1K

$98K

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

As of Sep 10, 2026, the average yearly pay for remote computational material 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 is the difference between Remote Computational Material Science vs Remote Materials Data Analyst?

AspectRemote Computational Material ScienceRemote Materials Data Analyst
Required CredentialsAdvanced degrees in materials science, physics, or chemistry; programming skillsBachelor's or master's in materials science, data analysis, or related fields; proficiency in data tools
Work EnvironmentResearch labs, universities, or corporate R&D teams; focus on simulations and modelingData-focused roles in corporate or research settings; emphasis on data interpretation and visualization
Industry UsageResearch institutions, tech companies, manufacturingManufacturing, tech firms, consulting
Common Search/ComparisonYesYes

Remote Computational Material Science involves using simulations and modeling to understand material properties, requiring advanced technical skills. In contrast, Remote Materials Data Analysts focus on analyzing and visualizing data related to materials, often with less emphasis on modeling. Both roles are vital in materials research and industry, but they differ in technical focus and daily tasks.

More about Remote Computational Material Science jobs

What cities are hiring for Remote Computational Material Science jobs?

Cities with the most Remote 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 Remote Computational Material Science jobs?

States with the most job openings for Remote Computational Material Science jobs include:

What job categories do people searching Remote Computational Material Science jobs look for?

The top searched job categories for Remote Computational Material Science jobs are:

Remote Computational Material Science jobs near you
Infographic showing various Remote Computational Material Science job openings in the United States as of September 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% Remote job distribution, with an average salary of $83,109 per year, or $40 per hour.

STEM Researcher - Computational Fields

Remote

Weekday AI
See more jobs at Weekday AIexternal

$60 - $90/hr

Part-time

Re-posted 13 days ago

Job description

This role is for one of our clients
Compensation: $60-$90 per hour
Join a pioneering AI initiative focused on developing the next generation of evaluation benchmarks for frontier AI models. We are seeking researchers from computational STEM disciplines-as well as computationally intensive social sciences and humanities-to bring the rigor of real-world research into AI evaluation.
In this role, you will transform scientific methodologies such as experimental design, hypothesis testing, and data-driven analysis into sophisticated, multi-step benchmark tasks that challenge state-of-the-art AI systems. Working closely with AI researchers, you'll help uncover subtle reasoning errors and methodological flaws that only experienced researchers can identify.
This is a fully remote, full-time engagement requiring approximately 35 hours per week.
Requirements
Key Responsibilities
  • Design complex, research-oriented benchmark tasks inspired by real-world scientific workflows, including study design, experimentation, hypothesis testing, and data analysis.
  • Develop comprehensive reference solutions using Python, notebooks, and computational tools with the rigor expected in professional research.
  • Define clear evaluation standards that distinguish sound scientific reasoning from plausible but incorrect conclusions.
  • Review AI-generated solutions, identifying methodological weaknesses, analytical errors, and flawed reasoning that experienced researchers would recognize immediately.
  • Collaborate with AI researchers and fellow domain experts to improve benchmark quality, consistency, and scientific rigor.
  • Contribute to the continuous refinement of evaluation methodologies for advanced AI systems.
Required Qualifications
  • Master's degree, PhD, or equivalent practical experience in a STEM discipline, computational social science, computational humanities, or another research-intensive field involving programming and data analysis.
  • Minimum 1 year of experience in an active research role within academia, industry, government laboratories, or a similar research environment.
  • Demonstrated experience performing computational research involving Python, data analysis, simulation, modeling, machine learning, or scientific computing.
  • Strong understanding of experimental design, hypothesis testing, statistical analysis, and rigorous interpretation of research findings.
  • Working knowledge of Git, integrated development environments (IDEs), and notebook platforms such as Jupyter or Google Colab.
  • Experience with AI evaluation, benchmark development, AI training, or task authoring is preferred.
  • Excellent analytical thinking, attention to detail, creativity, and the ability to solve complex, open-ended problems independently.
  • Strong written communication skills for documenting technical methodologies and research findings.
  • Ability to commit approximately 35 hours per week on a consistent basis.
Preferred Qualifications
  • Experience designing reproducible computational experiments or research workflows.
  • Familiarity with machine learning, large language models, or AI-assisted research tools.
  • Background in benchmark design, scientific software development, or computational research infrastructure.
  • Experience mentoring researchers, reviewing scientific work, or contributing to peer-reviewed publications.
Why Join
  • Help shape how next-generation AI systems are evaluated using rigorous scientific methodologies.
  • Collaborate with leading AI researchers working on frontier models and advanced evaluation frameworks.
  • Apply your research expertise to improve AI reasoning, reliability, and scientific accuracy.
  • Contribute to impactful work that advances the quality and robustness of AI systems across multiple disciplines.
  • Enjoy the flexibility of a fully remote engagement while working on cutting-edge AI research initiatives.
Equal Opportunity
We are committed to fostering an inclusive and diverse environment where all qualified applicants receive equal consideration. Reasonable accommodations are available throughout the application and engagement process.
Contract & Engagement Details
  • Independent contractor engagement.
  • Fully remote with flexible working hours.
  • Expected commitment of approximately 35 hours per week.
  • Project duration may be extended, shortened, or concluded based on project requirements and individual performance.
  • Work does not require access to confidential or proprietary information from any current or former employer.
  • Payments are issued weekly based on approved work completed.
  • At this time, we are unable to support H1-B or STEM OPT candidates.

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