AI Delegation Index

AI Delegation Index

What work could you hand off to an AI agent?

Medical Scientists, Except Epidemiologists

Moderate

AI agents could support several recurring tasks in this job, while people continue to lead decisions and handle exceptions.

Where agents can help most

  1. 1

    Analyze study data and summarize findings

    Use an agent to organize study datasets, clean tables, and draft a plain-language summary of the main results for the research team.

  2. 2

    Prepare grant materials for review

    Use an agent to gather the project aims, budget notes, biosketches, and required attachments, then draft a complete grant package with missing items flagged.

  3. 3

    Plan disease studies and draft protocols

    Use an agent to organize the disease question, prior literature, and study constraints, then draft a protocol outline with aims, methods, and sample needs.

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O*NET-SOC 19-1042.00 · #345 of 923

Result context

How to read this result

Conduct research dealing with the understanding of human diseases and the improvement of human health. Engage in clinical investigation, research and development, or other related activities.

National position
#345 of 923 occupations
Top 38% of occupations
Overall AI delegation potential
Moderate
Potential of score-contributing workflows
Moderate · 71/100
Meaningful work covered
62%

The overall rating combines how useful the best agent workflows are with how much of the occupation they address. It is not an estimate of job automation or replacement.

Recommended agent uses

3 workflows you could delegate to AI

1

Analyze study data and summarize findings

How you could use an agent

Use an agent to organize study datasets, clean tables, and draft a plain-language summary of the main results for the research team. The result is a reproducible analysis packet with figures, notes, and a first-pass writeup you can review before anything is shared outside the project.

Where you stay involved

You check the analysis, decide whether the findings hold up, and make the final scientific judgment about what the data mean.

Review level: Medium

2

Prepare grant materials for review

How you could use an agent

Use an agent to gather the project aims, budget notes, biosketches, and required attachments, then draft a complete grant package with missing items flagged. The result is a submission-ready draft that the principal investigator or grants office can review and finish.

Where you stay involved

You review the science, budget, and required wording, then decide what goes into the final application before it is submitted.

Review level: Medium

3

Plan disease studies and draft protocols

How you could use an agent

Use an agent to organize the disease question, prior literature, and study constraints, then draft a protocol outline with aims, methods, and sample needs. The result is a structured study plan you can refine before sending to the principal investigator or clinical lead.

Where you stay involved

You decide the study direction, review the draft for scientific fit, and approve what should move forward to formal review.

Review level: High

Supporting analysis

Why this occupation's AI delegation potential is Moderate

Underlying methodology score

66 / 100

This technical score determines the qualitative rating; it is not an estimate of the share of the occupation that can be automated.

Importance & frequency71
AI capability84
Digital actionability84
End-to-end leverage65
Safety & reversibility53
Meaningful-work coverage
62%
Physical-work modifier
Limited
Safety modifier
Moderate
Qualitative judgment
No material constraint
O*NET task evidence
14 tasks

O*NET 31.0 · methodology 3.3.0. Every workflow passes an action-level physical-execution and protected human-and-veterinary clinical-action gate. Documentation workflows must own a complete digital loop and use digital task evidence only; support-only workflows are disclosed separately and excluded from scoring. Artistic, editorial, normative, and policy-dependent work receives a transparent human-judgment constraint. National ranking within 923 scored O*NET occupations under methodology 3.3.0.

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