Materials Informatics Scientist
Materials Informatics Scientists use ML to discover new materials and compounds. They combine chemistry, physics, and data science for materials innovation.
Median Salary
$175,000
Job Growth
Emerging — materials discovery using AI growing
Experience Level
Entry to Leadership
Salary Progression
| Experience Level | Annual Salary |
|---|---|
| Entry Level | $110,000 |
| Mid-Level (5-8 years) | $175,000 |
| Senior (8-12 years) | $240,000 |
| Leadership / Principal | $310,000+ |
What Does a Materials Informatics Scientist Do?
Materials Informatics Scientists use machine learning and computational chemistry to discover and design new materials with desired properties. They run quantum simulations (DFT) to compute material properties, build ML models that predict properties without simulation, design new candidate materials using ML, validate predictions experimentally, and accelerate materials discovery cycles. They work in emerging materials science and energy storage companies.
A Typical Day
Simulation: Run DFT calculations predicting crystal structure and electronic properties
Feature engineering: Create features from atomic structure for ML models
Model training: Train graph neural network predicting material properties
Validation: Compare model predictions against DFT and experimental data
Exploration: Use model to identify promising new materials with desired properties
Synthesis planning: Collaborate with experimentalists on synthesis and testing
Analysis: Analyze relationship between composition/structure and properties
Key Skills
Career Progression
Materials informatics scientists lead materials discovery programs. May become Director of Materials Research or Chief Scientist at materials companies.
How to Get Started
Learn chemistry and physics: Strong foundation in materials science
DFT: Learn to run quantum mechanical simulations (VASP, Quantum ESPRESSO)
ML for materials: Study machine learning for materials science
Graph neural networks: Learn GNNs for atomic structure data
Matminer: Use Matminer library for materials data and feature extraction
Research: Work in materials chemistry or physics lab
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What does materials informatics do?▼
Uses computational and ML methods to design and discover new materials. Accelerates materials development from years to months.
What's DFT?▼
Density Functional Theory. Quantum mechanical simulation of materials at atomic level. Predicts properties without synthesis.
Why use ML?▼
DFT expensive computationally. ML learns from simulation results, predicts properties for new materials instantly.
What applications exist?▼
Batteries (energy storage), catalysts (chemical reactions), semiconductors, superconductors, structural materials, solar cells.
Where do they work?▼
Research labs at materials companies, battery startups, semiconductor companies, national labs, universities.
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Last updated: 2026-03-07