Analyze or manipulate bioinformatics data using software packages, statistical applications, or data mining techniques.

“Analyze or manipulate bioinformatics data using software packages, statistical applications, or data mining techniques.” is a core task performed by Bioinformatics Technicians. Among the occupation's 19 rated tasks, workers place it 19th by importance (#1 most important). About 95% of workers say it is relevant to their job.

This is a single occupation-specific task statement from O*NET. The figures below describe how central the task is to the job and what independent studies measure about AI and this kind of work — not a prediction that the task will be automated.

Work activities this task rolls up to

O*NET groups concrete tasks into broader work activities shared across many occupations.

• Analyze data to improve operations. in Analyzing Data or Information

AI exposure

The OpenAI / Eloundou “GPTs are GPTs” study rates this task E1. Direct exposure — a language model could plausibly cut the time to do this task by at least half.

Exposure measures whether a model could meaningfully speed the task up — it is an estimate of overlap with model capabilities, not a measure of whether the work will be done by software. The study's intermediate score (β) for this task is 1.00. Automation potential label: T3.

How AI is actually used on this kind of task

The Anthropic Economic Index observes how people actually use AI on tasks like this one across millions of real conversations.

• 0.021% share of AI-use records mapped to this task
• 68% of interactions still needed a human in the loop

Observed AI use describes people choosing to use AI as a tool on this kind of task today. It is augmentation and assistance, not a measure of jobs replaced.

Other tasks in this occupation

• Develop or apply data mining and machine learning algorithms. · importance 3.9
• Extend existing software programs, web-based interactive tools, or database queries as sequence management and analysis needs evolve. · importance 3.9
• Maintain awareness of new and emerging computational methods and technologies. · importance 3.9
• Design or implement web-based tools for querying large-scale biological databases. · importance 3.9
• Conduct quality analyses of data inputs and resulting analyses or predictions. · importance 3.8
• Enter or retrieve information from structural databases, protein sequence motif databases, mutation databases, genomic databases or gene expression databases. · importance 3.8
• Develop or maintain applications that process biologically based data into searchable databases for purposes of analysis, calculation, or presentation. · importance 3.8
• Confer with researchers, clinicians, or information technology staff to determine data needs and programming requirements and to provide assistance with database-related research activities. · importance 3.8
• Participate in the preparation of reports or scientific publications. · importance 3.8
• Monitor database performance and perform any necessary maintenance, upgrades, or repairs. · importance 3.6
• Confer with database users about project timelines and changes. · importance 3.6
• Write computer programs or scripts to be used in querying databases. · importance 3.5
• Document all database changes, modifications, or problems. · importance 3.5
• Create data management or error-checking procedures and user manuals. · importance 3.4

See all tasks on the Bioinformatics Technicians page.

Sources for this page

Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.

• O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
• Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

Data compiled June 2, 2026. Figures are estimates, not advice.

@misc{singulariki-task-17709,
  title  = {Analyze or manipulate bioinformatics data using software packages, statistical applications, or data mining techniques.},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/tasks/task-17709}
}