Education · SOC 25-1042
AI accelerates literature search and data analysis, but lab instruction, original research, and student mentorship remain human domains.
Parts of the job are exposed, but judgment and context still matter.
Timeline: AI will handle much of the computational biology and literature review work within 5 years, but experimental and mentorship leadership remains securely human through 2030.
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$79,350 median pay
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Industry pages show which sectors this occupation feeds and the AI companies driving the shift.
AI job-risk card
Biological Science Teachers, Postsecondary is watch on AIFear. Parts of the job are exposed, but judgment and context still matter.
AIFear.com
Our AI Fear Score for Biological Science Teachers, Postsecondary is 40/100 (Watch). Parts of the job are exposed, but judgment and context still matter.
40 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: Grading assignments and lab reports, Drafting syllabi and course handouts, Advising on standard curricula and career paths, Planning and revising standard course content. Harder to automate: Running and supervising biology laboratories, Mentoring graduate researchers on novel questions, Teaching experimental design and scientific reasoning, Securing and directing research funding.
Lean into Bioinformatics and AI-assisted genomics tools, Research grant writing, Laboratory management, Scientific publishing. Consider roles such as Principal Investigator / Research Scientist or Biotech R&D Lead or Science Education Program 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.