19-1029.01
Bioinformatics Scientists
Conduct research using bioinformatics theory and methods in areas such as pharmaceuticals, medical technology, biotechnology, computational biology, proteomics, computer information science, biology and medical informatics. May design databases and develop algorithms for processing and analyzing genomic information, or other biological information.
You're basically automation-proof
Only 8% of jobs we track are safer than this
Disruption Vector
Hybrid Threat
Both AI software and physical automation threaten different aspects of this role, creating a compound risk from multiple directions.
Bioinformatics scientists are both empowered and challenged by large language models trained on genomic and proteomic data—tools like AlphaFold 3, ESMFold, and AWS HealthOmics AI pipelines can now perform analyses that once required months of custom coding. Novel research design, cross-disciplinary biological interpretation, and grant-funded discovery science remain human-driven. By 2027, bioinformatics scientists who leverage AI models for hypothesis generation will be significantly more productive, while routine pipeline-execution roles face automation.
Salary & Job Outlook
AI Risk Timeline
Projection model: Based on current AI capability growth rates. High-risk occupations are projected to see compounding automation pressure, while human-centric roles show slower risk accumulation. These are statistical projections, not guarantees.
Skills Analysis — AI Vulnerability
Similar Safe Careers
Bioinformatics Scientists is already low-risk. Explore similarly safe occupations:
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Bioinformatics Scientists
"Congrats — you are delightfully robot-proof. Go touch some grass."
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I just checked if I'm cooked as a Bioinformatics Scientists 🤖 AI risk score: 1.6/10 — Low Risk "Congrats — you are delightfully robot-proof. Go touch some grass." Check yours 👇 https://amicooked-five.vercel.app/results/19-1029.01 #AmICooked #AI #FutureOfWork
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You're safer than 8% of all knowledge workers we track.
This analysis is for informational purposes only and is based on statistical models and academic research. It does not constitute career advice and is not a guarantee of future employment outcomes. AI impact varies significantly by employer, region, and individual circumstances. Learn about our methodology →