As of June 2026, Bioinformatics Technicians has an AI-exposure score of 73/100 (Very High exposure) on the AI-Safe Careers index, blending O*NET tasks, the Anthropic Economic Index, the Penn/OpenAI study, and BLS data. This is an estimate of task exposure, not a prediction of job loss.

AI Exposure Score for

Bioinformatics Technicians

73/100
Very High exposure
LowModerateElevatedHighVery High

More exposed than 94% of the roles we track. Median pay ~US$81,490. About 300 projected openings a year (BLS 2024–34 — growth plus replacement).

Pay & demand figures are US medians (BLS, in USD) — your local figures will differ. Your exposure score applies broadly.

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How you compare to similar Computer & Mathematical roles

Bioinformatics Technicians (you)
73
Computer Systems Analysts
73
Information Technology Project Managers
72
Computer Systems Engineers/Architects
71
Database Architects
71
Data Warehousing Specialists
70
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Your tasks, by AI exposure

Automatable
  • Enter or retrieve information from structural databases, protein sequence motif databases, mutation databases, genomic databases or gene expression databases.
  • Package bioinformatics data for submission to public repositories.
  • Develop or maintain applications that process biologically based data into searchable databases for purposes of analysis, calculation, or presentation.
  • Analyze or manipulate bioinformatics data using software packages, statistical applications, or data mining techniques.
  • Maintain awareness of new and emerging computational methods and technologies.
  • Train bioinformatics staff or researchers in the use of databases.
  • Participate in the preparation of reports or scientific publications.
  • Develop or apply data mining and machine learning algorithms.
  • Create data management or error-checking procedures and user manuals.
  • Extend existing software programs, web-based interactive tools, or database queries as sequence management and analysis needs evolve.
  • Test new or updated software or tools and provide feedback to developers.
  • Write computer programs or scripts to be used in querying databases.
  • Perform routine system administrative functions, such as troubleshooting, back-ups, or upgrades.
  • Conduct quality analyses of data inputs and resulting analyses or predictions.
  • Monitor database performance and perform any necessary maintenance, upgrades, or repairs.
  • Confer with researchers, clinicians, or information technology staff to determine data needs and programming requirements and to provide assistance with database-related research activities.
  • Document all database changes, modifications, or problems.
  • Design or implement web-based tools for querying large-scale biological databases.
  • Confer with database users about project timelines and changes.
Augmentable

No augmentable tasks identified for this role — its real, individually-assessed tasks consistently read as automatable (100%).

Durable

No durable tasks identified for this role — its real, individually-assessed tasks consistently read as automatable (100%).

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Your AI-Safe Career Report

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AI was the most-cited reason for U.S. layoffs through mid-2026 — the workers who adapt earliest fare best. — Challenger, Gray & Christmas, 2026The upside: Workers with AI skills earn a roughly 62% wage premium — adapting pays. — PwC Global AI Jobs Barometer, 2026

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Important: This is an estimate of AI exposure, not a prediction that your job will disappear. It is designed to help you understand how your role may change and improve your career resilience.