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Materials Informatics Jobs (NOW HIRING)

Jobtailor

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

Amat

AI Materials Research Engineer

Santa Clara, CA · On-site

$170K - $234K/yr

Create materials informatics pipelines integrating: * Experimental data * Characterization results * Simulation outputs * Scientific literature * Develop AI copilots and agentic workflows for:

Kenvue

Principal, R&D Digital Enablement

Summit, NJ · On-site

Evaluate materials informatics and automation opportunities based on the scientific question, data readiness, workflow maturity, integration needs, technical feasibility, validation requirements ...

Kenvue

Principal, R&D Digital Enablement

Summit, NJ

Evaluate materials informatics and automation opportunities based on the scientific question, data readiness, workflow maturity, integration needs, technical feasibility, validation requirements ...

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How much do materials informatics jobs pay per year?

As of Sep 12, 2026, the average yearly pay for materials informatics in the United States is $85,609.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $100,000.00 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.

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Cities with the most Materials Informatics job openings:

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Materials Informatics jobs near you
Infographic showing various Materials Informatics job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $85,609 per year, or $41.2 per hour.

Materials Informatics Scientist

On-site

Jobtailor
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Other

Posted 7 days ago

Job description

Lead 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 internal and external experts to develop high business impact solutions
Communicate results through reports and presentations to technical and non-technical audiences, including C level
Collaborate with materials scientists, engineers, and researchers across geographic locations
Collaborate with industry or academic specialists to apply research results and develop new techniques

Requirements
  • 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
Core Competencies

Demonstrates expertise in generative AI and physics-informed machine learning for product and material development, with strong analytical skills in data interpretation and modeling. Proficient in collaborating with cross-functional teams and communicating complex results to diverse audiences.

Highest-signal resume keywords
  • PhD In Materials Science
  • Generative AI
  • Materials Informatics
  • Python Programming
  • Computational Methods For Material Design
Hard Skills
  • Data Mining Techniques
  • Statistical Analysis
  • Materials Characterization
  • Structure-Property Relationships
  • Multiscale Simulations
  • Multiphysics Simulations
  • Cheminformatics
  • Critical Thinking
  • Project Management
  • Problem Analysis
Soft Skills
  • Strong Communication Skills
  • Stakeholder Engagement
  • Team Collaboration
  • Independent Work
  • Analytical Thinking
Industry Keywords
  • Materials Science
  • Chemical Engineering
  • Data Science
  • Physics
  • Mechanical Engineering
  • Sustainable Solutions
  • New Mobility Applications
  • Experimental Campaigns
  • Technical Presentations
  • Global Collaboration
Tools & Technologies
  • Python
  • Julia
  • C/C++
  • SQL
  • MySQL
  • MongoDB
  • Flask
  • Azure
  • Cloud Technologies
  • Machine Learning Tools
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