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Updated: Feb 6

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BETA

Updated: Feb 6

Evolving

Last Update: 11/21/2025

Your role’s AI Resilience Score is

55.3%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Medium-high

What does this resilience result mean?

These roles are shifting as AI becomes part of everyday workflows. Expect new responsibilities and new opportunities.

AI Resilience Report for

Epidemiologists

They study how diseases spread, find out why people get sick, and help create plans to prevent future outbreaks.

Summary

The career of an epidemiologist is labeled as "Evolving" because AI is increasingly being used to help with data-heavy tasks like spotting disease outbreaks and predicting contamination risks. While AI tools can speed up these processes, human epidemiologists are still essential for interpreting results, teaching others, and communicating with the public.

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Learn more about how you can thrive in this position

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Latest news
More career info

Summary

The career of an epidemiologist is labeled as "Evolving" because AI is increasingly being used to help with data-heavy tasks like spotting disease outbreaks and predicting contamination risks. While AI tools can speed up these processes, human epidemiologists are still essential for interpreting results, teaching others, and communicating with the public.

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Contributing Sources

AI Resilience

All scores are converted into percentiles showing where this career ranks among U.S. careers. For models that measure impact or risk, we flip the percentile (subtract it from 100) to derive resilience.

CareerVillage.org's AI Resilience Analysis

AI Task Resilience

Learn about this score
Evolving iconEvolving

47.5%

47.5%

Microsoft's Working with AI

AI Applicability

Learn about this score
Evolving iconEvolving

40.9%

40.9%

Anthropic's Economic Index

Evolving iconEvolving

61.2%

61.2%

Will Robots Take My Job

Automation Resilience

Learn about this score
Stable iconStable

88.8%

88.8%

Medium Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

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Growth Rate (2024-34):

16.2%

Growth Percentile:

97.3%

Annual Openings:

0.8

Annual Openings Pct:

8.9%

Analysis of Current AI Resilience

Epidemiologists

Updated Quarterly • Last Update: 11/21/2025

Analysis
Suggested Actions
State of Automation

State of Automation & Augmentation

In epidemiology, AI is often a helper for heavy data tasks. For example, systems like BlueDot and HealthMap use AI to scan online news and social media and can flag possible outbreaks days or weeks before a human spot the pattern [1] [2]. In food safety work, AI models can watch weather, supply-chain and other data to predict contamination risks [3].

Some labs even use automated analytics (for example, rapid genome scanning) to detect outbreaks much faster than by hand [1].

However, many core jobs still need people. Experts interpret the findings and decide what actions to take – for example, advising doctors, preparing reports, or explaining risks to the public. One analysis notes that AI’s promise is to save time so experts can spend more effort with people rather than on paperwork [4].

Health officials also say any AI alerts must be used under strong human oversight [5]. Skills like talking to community members, teaching others, and leading a team are hard to automate, so those parts of the job remain human.

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AI Adoption

AI Adoption

Big health agencies like the US Centers for Disease Control (CDC) are already investing in AI for disease surveillance and efficiency [5], which could speed up adoption in public health. But new technology must prove its value. Building reliable AI tools takes time and money, and smaller health departments may not have the budget or technical staff to use them immediately [1].

People also worry about privacy and mistakes, so experts say AI’s suggestions should always be checked by human epidemiologists [5].

Overall, AI is expected to grow as a helpful tool for monitoring disease trends [1]. Importantly, human epidemiologists will remain needed for teaching others, interpreting results in context, and communicating with the public – tasks that AI cannot handle on its own [5] [4]. These human skills will stay valuable even as AI takes on more routine data work.

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More Career Info

Career: Epidemiologists

Employment & Wage Data

Median Wage

$83,980

Jobs (2024)

12,300

Growth (2024-34)

+16.2%

Annual Openings

800

Education

Master's degree

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2024-2034

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

65% ResilienceCore Task

Investigate diseases or parasites to determine cause and risk factors, progress, life cycle, or mode of transmission.

2

65% ResilienceCore Task

Plan and direct studies to investigate human or animal disease, preventive methods, and treatments for disease.

3

65% ResilienceCore Task

Plan, administer and evaluate health safety standards and programs to improve public health, conferring with health department, industry personnel, physicians and others.

4

65% ResilienceCore Task

Provide expertise in the design, management and evaluation of study protocols and health status questionnaires, sample selection and analysis.

5

65% ResilienceCore Task

Conduct research to develop methodologies, instrumentation and procedures for medical application, analyzing data and presenting findings.

6

65% ResilienceCore Task

Supervise professional, technical and clerical personnel.

7

65% ResilienceCore Task

Educate healthcare workers, patients, and the public about infectious and communicable diseases, including disease transmission and prevention.

Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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