Will AI replace Bioinformatics Technicians?

AI can do 99% of the work Bioinformatics Technicians do at least twice as fast. People already use it for 9 of their 19 tasks, while 9 more are ready but barely used so far. 1 still needs a person.

AI is already doing this9 · 45% of time

People already use AI for these tasks in real work, based on Anthropic's analysis of how Claude is used.

  • Develop or maintain applications that process biologically based data into searchable databases for purposes of analysis, calculation, or presentation.Mostly automated8% of time
  • Extend existing software programs, web-based interactive tools, or database queries as sequence management and analysis needs evolve.Mostly automated8% of time
  • Conduct quality analyses of data inputs and resulting analyses or predictions.Mostly automated8% of time
  • Write computer programs or scripts to be used in querying databases.Mostly automated6% of time
  • Develop or apply data mining and machine learning algorithms.Mostly automated5% of time
  • Monitor database performance and perform any necessary maintenance, upgrades, or repairs.Mostly automated3% of time
  • Create data management or error-checking procedures and user manuals.Mostly automated3% of time
  • Design or implement web-based tools for querying large-scale biological databases.Mostly automated3% of time
  • Document all database changes, modifications, or problems.Mostly automated3% of time

AI could do this next9 · 53% of time

AI can speed these up by at least half, but real use has not caught up yet. These are next in line.

  • Analyze or manipulate bioinformatics data using software packages, statistical applications, or data mining techniques.22% of time
  • Confer with researchers, clinicians, or information technology staff to determine data needs and programming requirements and to provide assistance with database-related research activities.8% of time
  • Enter or retrieve information from structural databases, protein sequence motif databases, mutation databases, genomic databases or gene expression databases.6% of time
  • Participate in the preparation of reports or scientific publications.5% of time
  • Maintain awareness of new and emerging computational methods and technologies.4% of time
  • Confer with database users about project timelines and changes.3% of time
  • Perform routine system administrative functions, such as troubleshooting, back-ups, or upgrades.3% of time
  • Test new or updated software or tools and provide feedback to developers.1% of time
  • Package bioinformatics data for submission to public repositories.1% of time

Still needs a person1 · 1% of time

No real AI use, no proven AI speedup and no robot that can do it yet. This is the part of the job to build on.

  • Train bioinformatics staff or researchers in the use of databases.1% of time

Your week is not the average

Describe what you actually do and get a personal report: your own tasks, what AI can already do, what stays yours and a 90 day plan.

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What this means

AI can already do almost all of this work at least twice as fast. People in this job already use it heavily. Expect the role to shift toward deciding what to do, checking AI's work and owning the result.

What to do next

  • Do the 9 tasks AI is already handling with AI yourself. Your peers already are, and it is quickly becoming the baseline.
  • Get ahead on the 9 tasks AI could do next. These move as tools improve, so learning them early pays off.
  • Build on the 1 task that stay human. This is where your judgment, skill and relationships matter most.
Actuaries99%Statisticians99%Mathematicians100%Operations Research Analysts98%Data Scientists95%Business Intelligence Analysts95%

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