Mostly Resilient

Last Update: 11/4/2026

AI Resilience Score for Medical Scientists (Excl.):

57.0%

Median Score

Meaningful human contribution

Med

Long-term employer demand

High

Sustained economic opportunity

Med

Our confidence in this score:
Medium

Methodology and Scoring Rationale

To score how resilient medical science research is to AI, we ask one question in three parts:

First, how much of the job still needs a human, read from six AI-exposure sources: our own AI Resilience Model, Anthropic's Observed Exposure, Microsoft's AI Applicability, Will Robots Take My Job, OpenAI Signals, and Google ATLAS. We call this dimension Meaningful Human Contribution (MHC) and weight it at 40%.

Next, whether employers will keep hiring for this job over the long term. This dimension, which we call Long-term Employer Demand (LTE), is calculated from BLS data and weighted at 30%.

Last, whether pay and mobility will hold up. We use wage bill and adaptive capacity data from independent researchers (Althoff & Reichardt, 2026; Manning & Aguirre, 2026). We call this dimension Sustained Economic Opportunity (SEO) and weight it at 30%.

For medical scientists, all nine sources had data, but AI exposure split noticeably: Anthropic and Will Robots Take My Job saw the work as largely human, while AI Resilience Model and Google ATLAS rated exposure high, pulling confidence down to medium. Strong employer demand helped push the score up, landing the role at "Mostly Resilient."

AI Resilience Report forMedical Scientists, Except Epidemiologists

$103,410 median salary•10,500 annual openings•SOC Code: 19-1042.00

Medical Scientists, Except Epidemiologists are somewhat more resilient to AI impacts than most occupations, according to our analysis of 8 sources.

Medical scientists are labeled "Mostly Resilient" because AI is acting more like a powerful assistant than a replacement, helping with time-consuming tasks like reading literature, cleaning data, and generating early hypotheses, while human scientists still provide the critical judgment, creativity, and oversight that guide real research decisions. Tools like Stanford's Biomni can compress 60 or more hours of prep work into 40 minutes, but its own creators emphasize that the ideation and experience of human scientists remain essential.

Learn more about how you can thrive in this position

This role is mostly resilient

Medical scientists are labeled "Mostly Resilient" because AI is acting more like a powerful assistant than a replacement, helping with time-consuming tasks like reading literature, cleaning data, and generating early hypotheses, while human scientists still provide the critical judgment, creativity, and oversight that guide real research decisions. Tools like Stanford's Biomni can compress 60 or more hours of prep work into 40 minutes, but its own creators emphasize that the ideation and experience of human scientists remain essential.

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Analysis of current AI resilience

Medical Scientists (Excl.)

Updated quarterly

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How can Medical Scientists (Excl.) prepare for AI?

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Latest AI news for Medical Scientists (Excl.)

These articles highlight how AI is revolutionizing the field of medical science beyond epidemiology. Francesca Dominici's work on modeling infectious disease epidemics showcases AI's potential to predict and manage outbreaks, essential skills for medical scientists. Additionally, Suzanne Tamang's research demonstrates how AI can link environmental factors to autoimmune diseases, broadening the scope of public health inquiries. Embracing AI tools not only enhances research capabilities but also prepares students for a rapidly evolving job market, ensuring resilience in their future careers.

More Career Info

Career: Medical Scientists, Except Epidemiologists

They research diseases and develop new treatments to improve health, often working in labs to test and discover better ways to prevent or cure illnesses.

Similar Careers

Alternate Titles

Clinical Research Scientist · Research Scientist · Scientist · Study Director · Clinical Laboratory Scientist (Clinical Lab Scientist) · Clinical Pharmacologist · Medical Researcher · Physician Scientist · Researcher · Toxicologist

Employment & Wage Data

Median Wage

$103,410

Jobs (2025)

181,000

Growth (2025-35)

+12.6%

Annual Openings

10,500

Education

Doctoral or professional degree

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2025-2035

Task-Level AI Resilience Scores

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

1

92% ResilienceCore Task

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

2

91% ResilienceSupplemental

Confer with health departments, industry personnel, physicians, and others to develop health safety standards and public health improvement programs.

3

89% ResilienceSupplemental

Consult with and advise physicians, educators, researchers, and others regarding medical applications of physics, biology, and chemistry.

4

88% ResilienceCore Task

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

5

88% ResilienceCore Task

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

6

86% ResilienceSupplemental

Study animal and human health and physiological processes.

7

85% ResilienceCore Task

Teach principles of medicine and medical and laboratory procedures to physicians, residents, students, and technicians.

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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