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Materials Science Scientist Jobs (NOW HIRING)

Parker

Spring 2027 Materials Science Co-op

Columbus, OH · On-site

Position Summary Seeking a Materials Science Co-Op to assist materials research in Tube Fittings Division (TFD) of Parker Hannifin Corporation in Columbus, OH. The student will work closely with the ...

Battelle

Materials Scientist (Early Career)

Columbus, OH · On-site

$71K - $84K/yr

Applying materials science theories to well-defined tasks with minimal oversight * Compiling and analyzing design and test data to prepare product, process, or materials specifications * Assisting in ...

AuraOne

$70 - $110/hr

Materials Science Domain Expert -- AI Evaluation (Remote, Bay Area) is a remote review track for evaluating AI outputs across materials science reasoning, calculations, and research workflows.

RXinsider LTD.

Materials Scientist

Brecksville, OH · On-site

D. in polymer science/engineering or related field * 1+ year of experience in a chemistry, polymers and/or materials lab is preferred with demonstrated knowledge of polymer characterization ...

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How much do materials science scientist jobs pay per year?

As of Sep 13, 2026, the average yearly pay for materials science scientist in the United States is $123,973.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,500.00 and $167,000.00 per year, depending on experience, location, and employer.

What jobs can I get with a materials science scientist degree?

A materials science scientist can pursue careers such as materials engineer, research scientist, quality control analyst, or product development specialist. These roles often require knowledge of materials properties, laboratory skills, and familiarity with testing tools and software. Opportunities exist in industries like aerospace, automotive, electronics, and healthcare, often involving collaboration with multidisciplinary teams.

What jobs do materials science scientists do?

Materials science scientists research and develop new materials, such as metals, polymers, ceramics, and composites, to improve their properties for various applications. They analyze material structures using tools like microscopes and spectroscopy, conduct experiments, and collaborate with engineers and manufacturers to create innovative products. Their work often involves laboratory testing, data analysis, and staying current with scientific advancements.

What cities are hiring for Materials Science Scientist jobs?

Cities with the most Materials Science Scientist job openings:

What are popular job titles related to Materials Science Scientist jobs?

For Materials Science Scientist jobs, the most frequently searched job titles are:

Materials Science Ai Engineer

Santa Clara, CA • On-site

Cardinal Integrated Technologies Inc
IT Services • 11 - 50 employees
Learn more about Cardinal Integrated Technologies Incexternal

Full-time

Re-posted 21 days ago

Job description

Job Summary:
Cardinal Integrated Technologies Inc is seeking a Materials Science AI Engineer to join their team in developing and supporting materials discovery and design. The ideal candidate will focus on building AI-based solutions and collaborating with scientists and engineers to integrate analytics into core R&D workflows.
Responsibilities:
• Design, develop and deploy multi-modal AI, ML, and hybrid physical-based models to solve ground-breaking material physics and design problems.
• Aggregate, process, transform and quality-control experimental and simulation data for modeling and analysis.
• Design, develop, and maintain data workflows to support materials informatics initiatives. Optimize data pipelines and model execution on parallel cloud systems (e.g., Azure, GCP, AWS).
• Collaborate with materials scientists, chemists, and software engineers to integrate analytics and predictive modeling into core R&D workflows.
• Document code, workflows, and best practices to support reproducible research.
• Apply AI and data analytics to optimize material synthesis and processing parameters in real-time, minimizing defects, improving consistency.
Qualifications:
Required:
• Strong proficiency in programming languages like Python and C++.
• Experience with machine learning and deep learning frameworks (e.g., PyTorch, TensorFlow).
• Experience with data cleansing, preprocessing, and feature engineering
• Graduate or undergraduate degree in Computer Science, Engineering, Applied Mathematics, or a related technical field.
• 2-4 years of work experience (depending on educational degree) in data science, AI, machine learning, or data engineering roles.
• A strong foundation in the principles of materials science is essential to understand the underlying science and set up meaningful problems for AI.
• Expert in Python and data science libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow or PyTorch).
• Expertise in use of cloud-based compute environments and tools for parallel or distributed computing.
• Strong problem-solving and communication skills.
Preferred:
• Design, develop and deploy multi-modal AI, ML, and hybrid physical-based models to solve ground-breaking material physics and design problems
Company:
We are a company of IT professionals who passionately believe that good quality products & services are delivered by great resources. Founded in 2013, the company is headquartered in Monmouth Junction, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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