Technology · SOC 15-2099.01
AI accelerates bioinformatics pipelines but deep experimental judgment and cross-disciplinary collaboration stay human.
A large share of tasks is exposed; the role will change a lot.
Timeline: Within 3–5 years AI will handle routine pipeline tasks autonomously, but technicians who can validate, interpret, and communicate biological findings will remain indispensable.
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$135,980 median pay
$102,610 median pay
$103,300 median pay
$104,620 median pay
$132,000 median pay
$103,790 median pay
AI job-risk card
Bioinformatics Technicians is at risk on AIFear. A large share of tasks is exposed; the role will change a lot.
AIFear.com
Our AI Fear Score for Bioinformatics Technicians is 62/100 (At risk). A large share of tasks is exposed; the role will change a lot.
62 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: Statistical analysis of genomic datasets, Database querying and retrieval, Pipeline script maintenance and extension, Quality-control checks on data outputs, Building searchable sequence databases. Harder to automate: Interpreting biologically meaningful anomalies, Advising researchers on experimental design, Regulatory and ethical data governance.
Lean into Machine learning for genomics, Cloud-based bioinformatics workflows, Data storytelling for scientists, Research collaboration, Reproducible pipeline engineering. Consider roles such as Computational biologist or Bioinformatics platform engineer or Clinical data scientist.
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.