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Materials Informatics Jobs in Michigan (NOW HIRING)

Experience with cheminformatics, materials informatics, Generative AI, ML tools for accelerating multiscale and multiphysics simulations. * Proficiency in programming languages like Python, Julia, C ...

Review training materials to facilitate adaptation and user understanding of functionality ... with concentration informatics preferred * Work Experience: * Minimum one year of clinical ...

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Materials Informatics information

See Michigan salary details

$37K

$74.6K

$108.9K

How much do materials informatics jobs pay per year?

As of Sep 13, 2026, the average yearly pay for materials informatics in Michigan is $74,617.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,100.00 and $87,200.00 per year, depending on experience, location, and employer.

What is a materials informatics?

A Materials Informatics job involves using data science, machine learning, and computational techniques to analyze and predict material properties, accelerating material discovery and optimization. Professionals in this field work at the intersection of materials science and informatics, leveraging large datasets and models to guide experiments and improve material performance. Common responsibilities include database management, algorithm development, and collaboration with researchers to interpret results and apply insights to real-world applications.

What are typical daily responsibilities for someone working in materials informatics?

Professionals in Materials Informatics commonly spend their days analyzing large-scale experimental and simulation data, developing and testing machine learning models, and collaborating closely with materials scientists, engineers, and software developers. They are often involved in designing data pipelines, automating analysis workflows, cleaning and curating materials datasets, and presenting their findings to both technical and non-technical stakeholders. Regular tasks may also include documenting methodologies, publishing research outcomes, and participating in team meetings to align projects with organizational goals. By working at the intersection of data science and materials research, they help accelerate the discovery and development of new materials.

What are the key skills and qualifications needed to thrive in materials informatics, and why are they important?

To thrive in Materials Informatics, you need a strong background in materials science combined with expertise in data analysis, machine learning, and computational modeling, typically supported by an advanced degree in a related field. Familiarity with programming languages such as Python, data visualization tools, scientific databases, and materials-specific simulation software is essential. Strong problem-solving abilities, clear communication, and the ability to work collaboratively across interdisciplinary teams are valuable soft skills for this role. These competencies are crucial for transforming complex materials data into actionable insights, accelerating materials discovery and innovation.

What are the most commonly searched types of Materials Informatics jobs in Michigan?

The most popular types of Materials Informatics jobs in Michigan are:

What are popular job titles related to Materials Informatics jobs in Michigan?

For Materials Informatics jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Materials Informatics jobs in Michigan look for?

The top searched job categories for Materials Informatics jobs in Michigan are:

Infographic showing various Materials Informatics job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 14% Part Time, 3% Temporary, 3% Contract, and 2% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $74,617 per year, or $35.9 per hour.

Materials Informatics Scientist

Plymouth, MI β€’ On-site

Full-time

Posted 11 days ago


Job description

Working at Freudenberg: We will wow your world!
Responsibilities:
  • Leads activities in generative AI and physics-informed machine learning for product, formulation, material/process discovery and design.
  • Develop advanced data-driven and physics-based models to guide and accelerate the development of products, materials and processes for sustainable solutions and new mobility applications.
  • Analyze and interpret materials data using advanced statistical and data mining techniques.
  • Propose, execute and defend project concepts; collaborate and plan experimental campaigns for model development, validation and deployment with Freudenberg Business Groups.
  • Identify and prioritize promising materials candidates for further investigation and development.
  • Work with a diverse range of experts, both internal and external, for developing high business impact solutions.
  • Communicate results through reports and presentations to diverse audiences (both technical and non-technical), including C level.
  • Collaborate effectively with materials scientists, engineers, and other researchers across geographic locations.
  • Collaborates with industry or academic specialists to apply the results of research and develop new techniques.

Qualifications:
  • PhD or equivalent experience in materials science, chemistry, chemical engineering, data science, computer science, physics, mechanical engineering, or a related field.
  • Minimum 3+ years of experience in computational methods for material and product design, either in industry or academia.
  • Strong knowledge of materials science fundamentals, including structure-property relationships, materials characterization, and the principles governing material properties and behavior.
  • Experience with cheminformatics, materials informatics, Generative AI, ML tools for accelerating multiscale and multiphysics simulations.
  • Proficiency in programming languages like Python, Julia, C/C++, and familiarity with SQL, MySQL, MongoDB, Flask, Azure, or other cloud technologies.
  • Ability to work independently and as part of a team.
  • Strong communication and stakeholder engagement skills.
  • International outlook and willingness to travel as a plus.
  • Excellent analytical, problem/situation analysis, and critical thinking skills
  • Ability to manage multiple projects and meet deadlines in a fast-paced, globally matrixed environment.

The Freudenberg Group is an equal opportunity employer that is committed to diversity and inclusion. Employment opportunities are available to all applicants and associates without regard to race, color, religion, creed, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity or expression, national origin, ancestry, age, mental or physical disability, genetic information, marital status, familial status, sexual orientation, protected military or veteran status, or any other characteristic protected by applicable law.
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