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Materials Informatics Scientist Jobs (NOW HIRING)

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PhD In Materials Science * Generative AI * Materials Informatics * Python Programming * Computational Methods For Material Design Hard Skills * Data Mining Techniques * Statistical Analysis

Kenvue

Principal, R&D Digital Enablement

Chatham, NJ · On-site

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

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 ...

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How much do materials informatics scientist jobs pay per year?

As of Sep 14, 2026, the average yearly pay for materials informatics 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 is a materials informatics scientist?

A Materials Informatics Scientist applies data-driven techniques, such as machine learning and artificial intelligence, to analyze and predict the properties and behaviors of materials. They work at the intersection of materials science, data science, and computational modeling to accelerate the discovery and optimization of new materials. Their responsibilities often include developing algorithms, managing large datasets, and collaborating with experimental scientists to validate predictions. This role is essential in industries like electronics, energy storage, and pharmaceuticals, where material performance is critical.

What does a materials informatics scientist do?

A typical day for a Materials Informatics Scientist often involves analyzing experimental data, developing or refining algorithms to predict materials properties, and collaborating with both experimentalists and computational modelers. You may spend time programming, running simulations, mining large datasets, and presenting your findings to research teams. The role frequently includes interdisciplinary meetings to align goals and strategies, as well as documenting research processes and outcomes. This dynamic work environment offers the opportunity to contribute directly to the development of new materials and to advance the integration of data science within materials research.

What are the key skills and qualifications needed to thrive as a materials informatics scientist?

To thrive as a Materials Informatics Scientist, you need a solid background in materials science, data analysis, and machine learning, typically supported by an advanced degree in a related field. Experience with programming languages like Python or R, machine learning frameworks, and familiarity with materials databases and analytical software are commonly required. Strong problem-solving abilities, collaboration, and effective communication skills help you connect interdisciplinary teams and convey complex findings. These skills are crucial to effectively integrating computational techniques with experimental research, enabling data-driven materials discovery and innovation.

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Materials Informatics Scientist jobs near you
Infographic showing various Materials Informatics Scientist 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 $123,973 per year, or $59.6 per hour.

Materials Informatics Scientist

On-site

Jobtailor
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Posted 9 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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