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From Home Computational Materials Science Jobs (NOW HIRING)

Lead end-to-end modeling projects, from scoping and model development through validation and ... computational modeling. * Expertise in metallurgy and materials science, as well as process and ...

Material Science Analyst

Carlstadt, NJ · On-site

$26.75 - $33.25/hr

... surface, and computational insights into practical guidance that enables rapid, informed ... Apply materials and surface science principles to evaluate structure-property relationships ...

... computational materials research during Ph.D. and prior postdoctoral research is preferred. To ... This is funded for one year from the date of hire with possibility of being renewed based on mutual ...

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From Home Computational Materials Science information

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$142.5K

$168.8K

$192.5K

How much do from home computational materials science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for from home computational materials science in the United States is $168,844.00, according to ZipRecruiter salary data. Most workers in this role earn between $155,500.00 and $182,000.00 per year, depending on experience, location, and employer.

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.

Are materials scientists in demand?

Materials scientists, including those specializing in computational materials science, are in demand due to ongoing research and development in industries such as electronics, aerospace, and energy. They often require skills in modeling, simulation, and programming, and employment prospects are generally strong with opportunities in academia, government labs, and private sector companies.

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 are the key skills and qualifications needed to thrive as a remote computational materials scientist?

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.

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.

More about From Home Computational Materials Science jobs
What cities are hiring for From Home Computational Materials Science jobs? Cities with the most From Home 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 From Home Computational Materials Science jobs? States with the most job openings for From Home Computational Materials Science jobs include:
What job categories do people searching From Home Computational Materials Science jobs look for? The top searched job categories for From Home Computational Materials Science jobs are:
Infographic showing various From Home Computational Materials Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, and 4% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution, with an average salary of $168,844 per year, or $81.2 per hour.

Modeling Engineer (Finite Element Analysis)

ATI

Monroe, NC • On-site

Full-time

Re-posted 25 days ago


Job description

Proven to Perform.
From the edges of space to the bottoms of ocean, our materials are proven to perform -- and so is our team. We're hiring high performers as proven as our products. Join us.
We are currently looking to hire a Modeling Engineer - FEA to support ATI's Technical Research and Development Teams. As a Modeling Engineer you will contribute to and expand ATI Specialty Material's capabilities in computational materials science by developing and utilizing process models to address issues relating to the manufacture of specialty alloys and make predictions of relevant properties at various stages through the manufacturing process. This is an onsite position based at our Monroe, NC facility.
A successful Modeling Engineer is also a thought-leader, and problem solver who enthusiastically tackle challenges and achieves results while dealing with ambiguity and change that accompanies working in a research environment. To add to your knowledge, you will also need to periodically visit relevant manufacturing facilities in order to gain insight into the issues to be addressed.
Responsibilities
  • Utilize process simulation to support manufacturing process improvements that result in better product quality and lower manufacturing costs.
  • Conduct testing and characterization in order to generate data necessary for model development, validation.
  • Communicate results to management, colleagues, and customers in the form of written reports and oral presentations.
  • Propose, defend and execute project concepts for new products, cost savings, quality improvement, and process innovation. Collaborate with technology and research colleagues across ATI.
  • Maintain industry expertise and current knowledge of developments in process modeling by experimentation, attending meetings and conferences conducted by trade associations, by reviewing trade and technical literature and by periodic visit to customer, supplier, and other ATI manufacturing locations.

Basic Qualifications
  • M.S. or Ph.D. degree in Mechanical/Materials Science Engineering with experience in one of the following areas: metallurgical process modeling, integrated computational materials engineering, finite element analysis, computational fluid dynamics and/or numerical methods to solve engineering problems.
  • At least 2 years of relevant modeling work experience.
  • Experience in modeling fluid flow and or solidification of metals (or) Experience in modeling forging of metals, grain size prediction.
  • Experience in one or more relevant commercial FEA programs.

Preferred Qualifications (in addition to Basic Qualifications)
  • 3+ years of experience with one or more of the following: Ni-base superalloys, titanium alloys, specialty steels, or metal powders.
  • Experienced in DEFORM software suite.
  • Experienced in C++/FORTRAN/Python programming. Experience in developing User subroutines experience a big plus.
  • Experienced in using Machine learning for solving materials science problems.
  • Experience in thermodynamic packages.

We thrive when the expectations are great, and the barriers are high. We're solving the world's most difficult challenges through materials science. Our advanced, integrated process technologies and proven performers give us a tremendous competitive advantage. When customers systems need to fly higher, dig deeper, stand stronger, and last longer -- anywhere on, above or below the earth -- ATI is proven to perform.
*It is ATI's policy to not provide immigration sponsorship for any of the company's positions.
ATI and its subsidiary companies will provide equal employment opportunities to all applicants without regard to applicant's race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, veteran status, disability status, or any other status protected be federal or state law. The company will provide reasonable accommodations to allow an applicant to participate in the hiring process if so requested.