Management · SOC 11-9121
AI accelerates report generation and data review, but managing scientists and navigating research risk stays human.
Parts of the job are exposed, but judgment and context still matter.
Timeline: AI tools speed up hypothesis screening and literature synthesis now; human scientific managers still own the judgment calls on priorities, risk, and people.
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$123,480 median pay
$171,200 median pay
$140,030 median pay
$78,240 median pay
$117,960 median pay
$102,950 median pay
AI job-risk card
Natural Sciences Managers is watch on AIFear. Parts of the job are exposed, but judgment and context still matter.
AIFear.com
Our AI Fear Score for Natural Sciences Managers is 45/100 (Watch). Parts of the job are exposed, but judgment and context still matter.
45 out of 100, based on an AI-model review of this occupation's O*NET tasks against what current AI can actually do.
Most exposed: Drafting testing and operational reports, Reviewing research proposals and evaluating bids, Preparing client-facing project updates, Screening project feasibility from data. Harder to automate: Mentoring and evaluating scientific staff, Setting research priorities and standards, Stewarding natural resources and habitats in the field, Navigating regulatory and ethical frameworks.
Lean into Research program management, AI-assisted data analysis, Scientific communication, Grant strategy, Interdisciplinary collaboration. Consider roles such as Chief Science Officer or Director of Research Operations or Environmental Compliance Director.
Tasks, skills and AI-exposure for this role were reviewed by an AI model against its O*NET task profile (curated roles use published research anchors). Pay and employment, where shown, are U.S. BLS OEWS (May 2024) figures. This is an estimate, not a prediction about any individual's job. Compare all occupations.