42
/100

SOC 19-1041

Epidemiologists

ElevatedFrey/Osborne: 20.0%

Risk Score

โš ๏ธ

42/100

Elevated

US Employment

๐Ÿ‘ฅ

11,460

Total workers

Median Wage

๐Ÿ’ฐ

$84K

$57K โ€“ $135K

Projected Growth

๐Ÿ“ˆ

+16.2%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

86/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Epidemiologists face a risk score of 42/100 โ€” 2 points below the national average of 44. With 86/100 GenAI exposure, this occupation faces significant pressure from AI tools despite strong projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $84K ($38K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 42/100, Epidemiologists faces moderate automation pressure. While tasks like robotic sample preparation and experimentation are increasingly handled by AI, the role retains significant human elements. The 11,460 workers in this occupation should focus on strengthening skills in interpreting ambiguous results with domain expertise and fieldwork in unstructured natural environments to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Epidemiologists?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Robotic sample preparation and experimentation

2

AI-generated written content replacing manual drafting

3

AI literature review and meta-analysis automation

4

Chatbot displacement of customer-facing interactions

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Interpreting ambiguous results with domain expertise

โœ“

Fieldwork in unstructured natural environments

โœ“

Ethical oversight of research involving human subjects

โœ“

Collaborative scientific discourse and peer review

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Communicate research findings on various types of diseases to health practitioners, policy makers, and the public.

โ€ข

Oversee public health programs, including statistical analysis, health care planning, surveillance systems, and public health improvement.

โ€ข

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

โ€ข

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

โ€ข

Monitor and report incidents of infectious diseases to local and state health agencies.

๐Ÿ’ป Technology Skills

โ€ข

Data base user interface and query software

โ€ข

Analytical or scientific software

โ€ข

Data mining software

โ€ข

Geographic information system

โ€ข

Map creation software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Mathematics

โ€ข

Biology

โ€ข

Medicine and Dentistry

โ€ข

English Language

โ€ข

Computers and Electronics

๐Ÿ“Š vs National Average

Median Wage$84K
+$38K

National avg: $46K

Risk Score42/100
-2

National avg: 44/100

GenAI Exposure86/100
+48

National avg: 38/100

Projected Growth16.2%
+12.5%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Dentists, All Other Specialists13$226K63%
Social Scientists and Related Workers21$93K72%
Political Scientists25$139K79%