Gini Loh System Tools

AI Automation Index

Will AI Replace Medical Scientists, Except Epidemiologists?

Task-level automation exposure for Medical Scientists, Except Epidemiologists: 14 O*NET tasks scored against their work activities, plus the simulator.

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Automation Exposure

48% weighted task index

14 of 14 tasks scored

Median Salary

$103,410 / year

BLS OEWS, May 2025 — this exact occupation

Employment Level

High

172,340 people hold this job — size, not growth

Projected 2025–35

+12.6% employment change

10,500 openings a year · BLS line item

Pay by state

BLS OEWS publishes 47 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.

$49,650 – $136,990

Highest medians

California $136,990
New Jersey $129,280
Massachusetts $128,210
Connecticut $116,990
Arizona $116,820

Lowest medians

Puerto Rico $49,650
Mississippi $54,040
North Dakota $64,470
Vermont $66,500
New Mexico $67,100

State figures come from the 19-1042 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.

What the score is made of

Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.

Automation potential 48%

Importance-weighted mean of the scored tasks. This is the headline index.

Physical work 5%

Share of weighted tasks in hands-on or machine-operating work activities.

Judgment & influence 46%

Share in analysis, decisions, teaching, directing, advising, or caring for others.

Routine administration 22%

Share in documenting, recording, and administrative activities.

Rewritten by O*NET 0%

Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.

Consequence of error 12/100 Low

O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.

Constituent Task Mix

14 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.

High exposure (≥ 60% of the task is automatable) 20%

3 tasks

Medium exposure (≥ 35%) 75%

10 tasks

Low exposure (below 35%) 5%

1 tasks

How would you survive?

Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.

Simulate Upskilling →

Constituent Tasks

#7514 · Core · 45% automatable

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

decision support — Conformance checking aided by AI, but on-site verification is human

Monitor operational procedures in technical environments to ensure conformance to standards.
#7515 · Core · 45% automatable

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

data analysis — Literature and data aided; lab work human

Research diseases or parasites.
#7513 · Core · 39% automatable

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

decision support — Research planning needs domain expertise and feasibility

Plan biological research. Direct medical science or healthcare programs.
#7517 · Core · 35% automatable

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

physical manipulation — Biological sample analysis needs wet-lab execution

Analyze biological samples.
#20200 · Core · 68% automatable

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

information retrieval — AI researches and synthesizes; human judges relevance

Analyze health-related data. Research topics in area of expertise. Present research results to others.
#7516 · Core · 55% automatable

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

text generation — Science instruction content AI-assisted; delivery human

Instruct college students in physical or life sciences.
#20201 · Core · 72% automatable

Write and publish articles in scientific journals.

text generation — Reports drafted; presentations need human delivery

Prepare scientific or technical reports or presentations.
#23906 · Core · 55% automatable

Write applications for research grants.

text generation — Draft grant text; human owns strategy and budget

Write grant proposals. Prepare proposals or grant applications to obtain project funding.
#7518 · Supplemental · 50% automatable

Standardize drug dosages, methods of immunization, and procedures for manufacture of drugs and medicinal compounds.

decision support — AI drafts care standards; clinical authority decides

Establish standards for medical care.
#7521 · Supplemental · 40% automatable

Study animal and human health and physiological processes.

information retrieval — AI researches and synthesizes; human judges relevance

Collect information about community health needs. Check physical condition of people or animals. Measure the physical or physiological attributes of patients. Research topics in area of expertise.
#7519 · Supplemental · 45% automatable

Investigate cause, progress, life cycle, or mode of transmission of diseases or parasites.

data analysis — Literature and data aided; lab work human

Research diseases or parasites.
#7523 · Supplemental · 20% automatable

Use equipment such as atomic absorption spectrometers, electron microscopes, flow cytometers, or chromatography systems.

physical manipulation — Hands-on lab/field equipment operation with samples

Operate laboratory or field equipment.
#7520 · Supplemental · 60% automatable

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

text generation — AI drafts standards; committee consensus and authority human

Establish standards for products, processes, or procedures.
#7522 · Supplemental · 50% automatable

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

decision support — Healthcare advice carries liability; human owns it

Advise others on healthcare matters.
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Community Sentiment

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Method

How this was scored

  1. 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
  2. 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
  3. 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
  4. 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.

Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.

Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast

See the full method →

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