38
/100

SOC 19-1042

Medical Scientists, Except Epidemiologists

ModerateFrey/Osborne: 0.5%

Risk Score

โš ๏ธ

38/100

Moderate

US Employment

๐Ÿ‘ฅ

156,300

Total workers

Median Wage

๐Ÿ’ฐ

$101K

$62K โ€“ $168K

Projected Growth

๐Ÿ“ˆ

+8.7%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

83/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Medical Scientists, Except Epidemiologists face a risk score of 38/100 โ€” 6 points below the national average of 44. With 83/100 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 $101K ($54K 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 38/100, Medical Scientists, Except Epidemiologists faces moderate automation pressure. While tasks like large language model automation of analysis tasks are increasingly handled by AI, the role retains significant human elements. The 156,300 workers in this occupation should focus on strengthening skills in designing novel experiments and research methodologies and interpreting ambiguous results with domain expertise to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Medical Scientists, Except Epidemiologists?

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

โš ๏ธ Top Risk Factors

1

Large language model automation of analysis tasks

2

AI-accelerated data analysis and pattern recognition

3

AI coding assistants reducing developer demand

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Designing novel experiments and research methodologies

โœ“

Interpreting ambiguous results with domain expertise

โœ“

Fieldwork in unstructured natural environments

โœ“

Ethical oversight of research involving human subjects

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

Follow strict safety procedures when handling toxic materials to avoid contamination.

โ€ข

Evaluate effects of drugs, gases, pesticides, parasites, and microorganisms at various levels.

โ€ข

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

โ€ข

Prepare and analyze organ, tissue, and cell samples to identify toxicity, bacteria, or microorganisms or to study cell structure.

โ€ข

Conduct research to develop methodologies, instrumentation, and procedures for medical application, analyzing data and presenting findings to the scientific audience and general public.

๐Ÿ’ป Technology Skills

โ€ข

Graphics or photo imaging software

โ€ข

Analytical or scientific software

โ€ข

Data base user interface and query software

โ€ข

Geographic information system

โ€ข

Electronic mail software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Biology

โ€ข

English Language

โ€ข

Medicine and Dentistry

โ€ข

Chemistry

โ€ข

Mathematics

๐Ÿ“Š vs National Average

Median Wage$101K
+$54K

National avg: $46K

Risk Score38/100
-6

National avg: 44/100

GenAI Exposure83/100
+45

National avg: 38/100

Projected Growth8.7%
+5.0%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Dentists, All Other Specialists13$226K55%
Political Scientists25$139K71%
Social Scientists and Related Workers21$93K84%