Bioinformatics Technicians

Low Risk
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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
4.5/10
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

31% (Low Risk)

Low Risk (21-40%): This occupation has a lower risk of full replacement by AI, software, or robotic systems. Some tasks may be automated or assisted, but the role usually still relies on human judgement, communication, responsibility, physical adaptability, or practical decision-making.

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.
Jobs that also use this strength

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.
Jobs that also use this strength

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.
Jobs that also use this strength

What users think

Based on 17 votes

54% chance of full automation within the next two decades

Our visitors have voted they are unsure if this occupation will be automated. However, employees may be able to find reassurance in the automated risk level we have generated, which shows 31% chance of automation.

What do you think the risk of automation is?

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

View sentiment trend

Pay & outlook

Wages

High paid relative to other professions

In 2024, the median annual wage for Mathematical Science Occupations, All Other was $71,490 ($34 per hour).

The median annual wage for Mathematical Science Occupations, All Other was 44.4% higher than the national median annual wage, which stood at $49,500.

* Data from the Bureau of Labor Statistics

Growth

Fast growth relative to other professions

The number of 'Mathematical Science Occupations, All Other' job openings is expected to rise 4.0% by 2034

* 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 4,660 people employed as 'Mathematical Science Occupations, All Other' within the United States.

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

Put another way, around 1 in 33 thousand people are employed as 'Mathematical Science Occupations, All Other'.

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Job description

Apply principles and methods of bioinformatics to assist scientists in areas such as pharmaceuticals, medical technology, biotechnology, computational biology, proteomics, computer information science, biology and medical informatics. Apply bioinformatics tools to visualize, analyze, manipulate or interpret molecular data. May build and maintain databases for processing and analyzing genomic or other biological information.

O*NET-SOC code: 15-2099.01