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Remote Computational Materials Science Jobs (NOW HIRING)

Staff Computational Biologist

Lexington, MA ยท On-site +1

$195K - $230K/yr

Your day to day includes working with biology data scientists to harden their notebooks and ... Establish documentation, onboarding materials, and best practices for internal platform usage.

This is a remote role with occasional travel. You Will: * Lead physicochemical characterization of ... Bachelor's, Master's, or PhD in Materials Science, Chemistry, Pharmaceutical Sciences, or a related ...

... material sciences and in the support of clinical studies. In over just 30 years, Eurofins has grown from one laboratory in Nantes, France to over 50,000 staff across a network of more than 900 ...

Remote Commitment: 40 hours/week Role Responsibilities * Guide research teams to close knowledge ... Materials Science , or another STEM discipline. * 3+ years of research, academic, or industry ...

... Science Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours/week Role ... Materials Science , or other STEM background. * Demonstrated technical expertise in programming ...

... Science Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours/week Role ... Materials Science , or other STEM background. * Demonstrated technical expertise in programming ...

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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 Jun 18, 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 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 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 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.

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.
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:
Infographic showing various Remote Computational Materials Science job openings in the United States as of June 2026, with employment types broken down into 6% Internship, 55% Full Time, 33% Part Time, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $83,109 per year, or $40 per hour.

AI Trainer - Materials Science Specialists (Remote - Miami)

Prolific Academic Ltd

Miami, FL โ€ข Remote

$40/hr

Full-time

Posted 9 days ago


Job description

AI Trainer - Materials Science Specialists (Remote Advisory)About Prolific

Prolific is not just another player in the AI space โ€“ we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

The role

We are seeking AI Trainers โ€“ Materials Science Specialists to join our expert B2B and AI research network. Our work supports global organizations with highโ€‘level corporate intelligence, and we rely on executiveโ€‘level expertise to validate complex Materials Science and Graphical Abstract data.

Please note: This is an invitation to join our expert talent pool. Participation in individual projects is not guaranteed and will depend on client demand and profile fit.

Researchers who require your expertise typically pay $40+/hr. You should be prepared to complete paid tasks that require up to one hour of uninterrupted focus, though many assignments are shorter.

What you'll bring
  • Specialized knowledge: Deep expertise in Materials Science & a Masters Degree or higher in a related field.
  • Experience of fact checking or AI related tasks
  • Professional profile: A verifiable LinkedIn presence or professional history
  • Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time
  • A reliable and fast internet connection and access to a computer
What you'll be doing in the role
  • Strategic document audit: You will review materials science scientific papers and a graphical abstract that summarizes the paper generated by an LLM. Check and identify issues where the graphical abstract doesn't accurately represent the scientific paper.
  • Improving cutting-edge AI models
Why Prolific is a great platform to join as a Participant

Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional legal expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation โ€“ one that reflects the breadth and the best of humanity.

Links to more information on Prolific

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Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.