Science · SOC 19-1021
AI is transforming drug discovery and protein structure prediction, but biochemists do experimental work AI models cannot fully replace.
Parts of the job are exposed, but judgment and context still matter.
Timeline: Tools like AlphaFold and generative AI are reshaping structural biology and drug discovery; biochemists who integrate AI tools while maintaining wet-lab expertise will be most valuable over the next decade.
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$67,440 median pay
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$93,330 median pay
$67,950 median pay
$132,170 median pay
$80,060 median pay
AI job-risk card
Biochemists and Biophysicists is watch on AIFear. Parts of the job are exposed, but judgment and context still matter.
AIFear.com
Our AI Fear Score for Biochemists and Biophysicists 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: Writing scientific articles and preparing conference presentations, Writing grant proposals for research funding, Preparing recommendations from research outcomes, Designing specialized laboratory equipment. Harder to automate: Conducting wet-lab experiments on living cells and tissues, Studying chemical effects of drugs and hormones in biological systems, Teaching and supervising graduate students, Designing and interpreting novel experimental approaches.
Lean into AI-assisted drug discovery, Structural biology and protein modeling, Grant writing and research funding, Experimental design and wet-lab skills, Bioinformatics analysis. Consider roles such as Drug Discovery Scientist or Computational Biology Researcher or University Research Professor (Biochemistry).
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.