Science · SOC 19-1042
Lab science involves hands-on bench work AI cannot perform, but grant writing and literature review face rapid automation.
Parts of the job are exposed, but judgment and context still matter.
Timeline: AI tools will handle literature synthesis and routine data analysis within 1-2 years, but bench work and research leadership remain distinctly human roles for this decade.
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Industry pages show which sectors this occupation feeds and the AI companies driving the shift.
AI job-risk card
Medical Scientists, Except Epidemiologists is watch on AIFear. Parts of the job are exposed, but judgment and context still matter.
AIFear.com
Our AI Fear Score for Medical Scientists, Except Epidemiologists is 52/100 (Watch). Parts of the job are exposed, but judgment and context still matter.
52 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: Writing journal articles and grant applications, Analyzing and interpreting experimental data, Conducting literature reviews, Preparing standard test solutions and reagents. Harder to automate: Designing and executing novel experiments, Teaching and mentoring students, Troubleshooting laboratory instrumentation, Exercising scientific judgment on ambiguous results.
Lean into AI-augmented research design, Bioinformatics and data analysis, Grant strategy and scientific communication, Laboratory automation management. Consider roles such as Principal investigator / research director or Regulatory affairs scientist or Biotech product development lead.
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.