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Overnight Materials Informatics Scientist Jobs (NOW HIRING)

Jobtailor

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

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

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:

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Overnight Materials Informatics Scientist information

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How much do overnight materials informatics scientist jobs pay per year?

As of Sep 15, 2026, the average yearly pay for overnight materials informatics scientist in the United States is $98,409.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,000.00 and $122,500.00 per year, depending on experience, location, and employer.

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

The most popular types of Materials Informatics Scientist jobs are:

Infographic showing various Overnight Materials Informatics Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 9% Part Time, 6% Contract, and 1% Summer. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $98,409 per year, or $47.3 per hour.

Materials Informatics Scientist

On-site

Jobtailor
See more jobs at Jobtailorexternal

Other

Posted 10 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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