Materials Scientists

High pay & lowrisk
Minimal Risk
Low High

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Directly reuses materials properties, testing, specifications, failure analysis, product requirements, and lab results.

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Occupation snapshot

What does this snowflake show?
The Snowflake is a visual summary of the five badges: Automation Risk (calculated), Risk (polled), Growth, Wages and Volume. It gives you an instant snapshot of an occupations profile. The colour of the Snowflake relates to its size. The better the occupation scores in relation to others, the larger and greener the Snowflake becomes.
JOB SCORE
6.8/10
What's this?
Job Score (higher is better):

We rate jobs using four factors. These are:

- Chance of being automated
- Job growth
- Wages
- Volume of available positions

These are some key things to think about when job hunting.

Risk & user votes

Calculated automation risk

12% (Minimal Risk)

Minimal Risk (0-20%): This occupation appears difficult to replace end-to-end with current or near-future automation, including AI software and robotics. Roles in this range usually depend on human judgement, creativity, care, leadership, specialist expertise, or adapting to messy real-world situations. AI and machines may still change parts of the work, but the occupation is likely to remain a distinct human role.

More information on what this score is, and how it is calculated is available here.

Human strengths important in this job

These are human abilities and work contexts that are important in this occupation. They may help explain why parts of the role are harder to replace end-to-end, but they are not the only inputs into the automation score.

Thinking creatively

Very important
Why this matters
Coming up with original ideas and designs—creating new concepts, products, systems, or artistic work. This kind of open-ended invention and taste-based judgment is harder to automate end-to-end than routine, rule-based tasks.
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Decision-making and problem solving

Very important
Why this matters
Analyze information, weigh tradeoffs, and choose the best solution—especially when situations are ambiguous, high-stakes, or have real-world consequences.
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Persuasion

Quite important
Why this matters
Influencing people to change their minds or behavior through conversation, trust, and negotiation.
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Social perceptiveness

Quite important
Why this matters
Noticing others’ emotions and reactions in the moment and adjusting what you say or do based on why they’re responding that way.
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Coaching and developing others

Quite important
Why this matters
Helps people learn and improve through coaching, mentoring, and feedback. This relies on trust, motivation, and adapting guidance to each person—work that’s hard to replace end-to-end with automation.
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Show 5 more strengths

Coordinating others’ work

Quite important
Why this matters
Bringing people together, assigning tasks, and keeping a group aligned so work gets done.
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Communicating with people outside the organization

Quite important
Why this matters
Represents the organization to customers, the public, or government—handling questions, concerns, and relationship-building through conversations, writing, calls, or email.
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Developing objectives and strategies

Quite important
Why this matters
Sets long-term goals and chooses strategies and actions to reach them, weighing tradeoffs and adapting plans as conditions change.
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Active learning

Quite important
Why this matters
Keeps learning from new information and applying it to make better decisions now and in the future, especially when situations change.
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Operations analysis

Quite important
Why this matters
Figure out what people need and what a product must do, then translate those requirements into a workable design.
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What users think

Based on 95 votes

32% chance of full automation within the next two decades

Our visitors have voted there's a low chance this occupation will be automated. This assessment is further supported by the calculated automation risk level, which estimates 12% chance of automation.

What do you think the risk of automation is?

What is the likelihood that Materials Scientists will be replaced by robots or artificial intelligence within the next 20 years?

Sentiment

Based on user votes over time

View sentiment trend

How opinions have changed over time

Pay & outlook

Wages

Very high paid relative to other professions

In 2024, the median annual wage for Materials Scientists was $104,160 ($50 per hour).

The median annual wage for Materials Scientists was 110.4% higher than the national median annual wage, which stood at $49,500.

View wage trend

Wages over time

* Data from the Bureau of Labor Statistics

Growth

Fast growth relative to other professions

The number of 'Materials Scientists' job openings is expected to rise 4.9% by 2034

View employment trend

Total employment, and estimated job openings

* Data from the Bureau of Labor Statistics for the period between 2023 and 2033
Updated projections are due 09-2025.

Volume

Significantly lower range of job opportunities compared to other professions

As of 2024 there were 8,330 people employed as 'Materials Scientists' within the United States.

This represents around < 0.001% of the employed workforce across the country

Put another way, around 1 in 18 thousand people are employed as 'Materials Scientists'.

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What people are saying (1)

Leong Chun Tee (No chance)
10 Dec 2019 08:54
The field of materials science is very wide, it touches chemistry(study the structure of materials and its properties) no matter organic or inorganic, it touches biology(study the nutritional chemistry and medicinal chemistry) and also physics (mechanical, electrical, optical)including classical physics and modern physics. Further more, the quantum physics which can be said difficult also learned by materials scientists, so we can see that this study provide a lot of chance to get job and not easily replace by robots because all the knowledge is accumulated from time to time.
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Job description

Research and study the structures and chemical properties of various natural and synthetic or composite materials, including metals, alloys, rubber, ceramics, semiconductors, polymers, and glass. Determine ways to strengthen or combine materials or develop new materials with new or specific properties for use in a variety of products and applications. Includes glass scientists, ceramic scientists, metallurgical scientists, and polymer scientists.

O*NET-SOC code: 19-2032.00