Chemical Engineers vs Materials Scientists
Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index
A factual, source-backed comparison of Chemical Engineers and Materials Scientists on the dimensions both occupations carry. Every figure is a position within an independent published dataset — not a verdict on which job is better, safer, or more “future-proof.”
At a glance
| Dimension | Chemical Engineers | Materials Scientists |
|---|---|---|
| Median pay | $121,860 | $104,160 |
| Employment | 20,330 | 8,330 |
| Employment outlook (2024–34) · BLS projection | About average (+2.6%) | About average (+4.9%) |
| Annual openings · BLS projection | 1,100 | 600 |
| Typical education · O*NET | Most of these occupations require a four-year bachelor's degree, but some do not. | Most of these occupations require a four-year bachelor's degree, but some do not. |
| AI exposure · published exposure studies | Moderate · 59th pct | High · 78th pct |
| Global GenAI gradient · ILO ISCO-08 · via crosswalk | 65th pct · 35% of tasks | 62nd pct · 34% of tasks |
| Observed AI use · Anthropic Economic Index | — | Augmentation-leaning (49.0%) |
| Mostly remote-capable · Dingel–Neiman | No | No |
Pay and employment are BLS OEWS estimates; outlook and openings are BLS 2024–2034 projections; AI exposure and observed-use figures come from separate research and reflect exposure and usage, not predictions that either job will disappear. Compare like with like.
Skills
Shared: Engineering and Technology, Chemistry, Mathematics, Science, Critical Thinking, Reading Comprehension, Complex Problem Solving, Design, Oral Comprehension, Written Comprehension, Oral Expression, Problem Sensitivity, Deductive Reasoning, Inductive Reasoning, Information Ordering, Category Flexibility, Physics, Production and Processing, Active Learning, Judgment and Decision Making, Systems Evaluation, Mathematical Reasoning, Mathematics, Near Vision, English Language, Operations Analysis, Number Facility, Speaking, Fluency of Ideas, Originality, Flexibility of Closure, Active Listening, Written Expression, Computers and Electronics, Writing, Monitoring, Speech Recognition.
Specific to Chemical Engineers
- Systems Analysis
- Perceptual Speed
- Visualization
Specific to Materials Scientists
- Mechanical
- Persuasion
- Speech Clarity
Knowledge, skills & abilities O*NET rates as important for each occupation. “Shared” are common to both; the columns list what is distinctive to each (top by the order O*NET surfaces).
Tools & technology
Shared: Spreadsheet software , Office suite software , Presentation software , Development environment software , Object or component oriented development software , Data base user interface and query software , Word processing software , Analytical or scientific software .
Specific to Chemical Engineers
Specific to Materials Scientists
Full profiles
This page is a summary. See the complete source-backed profile for Chemical Engineers or Materials Scientists — tasks, the full skill graph, tools, work context, preparation, wages by percentile, industries, AI exposure and the AI work map.
More comparisons
Related occupations you can place side by side on the same sourced scale.
- Chemical Engineers vs Materials Engineers
- Chemical Engineers vs Manufacturing Engineers
- Chemical Engineers vs Chemists
- Chemical Engineers vs Biofuels/Biodiesel Technology and Product Development Managers
- Chemical Engineers vs Industrial Engineers
- Chemical Engineers vs Petroleum Engineers
- Chemical Engineers vs Mechanical Engineers
- Chemical Engineers vs Nuclear Engineers
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- Microsoft “Working with AI” working-with-ai Microsoft Research
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Chemical Engineers vs Materials Scientists." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/compare/chemical-engineers-vs-materials-scientists
Singulariki. (2026). Chemical Engineers vs Materials Scientists. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/chemical-engineers-vs-materials-scientists
@misc{singulariki-chemical-engineers-vs-materials-scientists,
title = {Chemical Engineers vs Materials Scientists},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/compare/chemical-engineers-vs-materials-scientists}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.