Direct the work of technicians and information technology staff applying bioinformatics tools or applications in areas such as proteomics, transcriptomics, metabolomics, or clinical bioinformatics.

“Direct the work of technicians and information technology staff applying bioinformatics tools or applications in areas such as proteomics, transcriptomics, metabolomics, or clinical bioinformatics.” is a core task performed by Bioinformatics Scientists. Among the occupation's 20 rated tasks, workers place it 10th by importance (#11 most important). About 81% 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.

• Supervise personnel activities. in Guiding, Directing, and Motivating Subordinates

AI exposure

The OpenAI / Eloundou “GPTs are GPTs” study rates this task E2. Exposure with tools — software built on top of a language model (not the model alone) could cut the time 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 0.50. Automation potential label: T1.

Other tasks in this occupation

• Develop new software applications or customize existing applications to meet specific scientific project needs. · importance 4.3
• Communicate research results through conference presentations, scientific publications, or project reports. · importance 4.3
• Create novel computational approaches and analytical tools as required by research goals. · importance 4.2
• Consult with researchers to analyze problems, recommend technology-based solutions, or determine computational strategies. · importance 4.2
• Analyze large molecular datasets, such as raw microarray data, genomic sequence data, or proteomics data, for clinical or basic research purposes. · importance 3.9
• Keep abreast of new biochemistries, instrumentation, or software by reading scientific literature and attending professional conferences. · importance 3.9
• Develop data models and databases. · importance 3.8
• Compile data for use in activities, such as gene expression profiling, genome annotation, or structural bioinformatics. · importance 3.8
• Design and apply bioinformatics algorithms including unsupervised and supervised machine learning, dynamic programming, or graphic algorithms. · importance 3.7
• Manipulate publicly accessible, commercial, or proprietary genomic, proteomic, or post-genomic databases. · importance 3.7
• Provide statistical and computational tools for biologically based activities, such as genetic analysis, measurement of gene expression, or gene function determination. · importance 3.4
• Improve user interfaces to bioinformatics software and databases. · importance 3.4
• Create or modify web-based bioinformatics tools. · importance 3.4
• Confer with departments, such as marketing, business development, or operations, to coordinate product development or improvement. · importance 3.0

See all tasks on the Bioinformatics Scientists 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
• “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic

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

@misc{singulariki-task-16785,
  title  = {Direct the work of technicians and information technology staff applying bioinformatics tools or applications in areas such as proteomics, transcriptomics, metabolomics, or clinical bioinformatics.},
  author = {{Singulariki}},
  year   = {2026},
  note   = {O*NET 30.3; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
  url    = {https://singulariki.com/tasks/task-16785}
}