Evaluate genetic data by performing appropriate mathematical or statistical calculations and analyses.

“Evaluate genetic data by performing appropriate mathematical or statistical calculations and analyses.” is a core task performed by Geneticists. Among the occupation's 24 rated tasks, workers place it 16th by importance (#9 most important). About 96% 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.

• Research biological or ecological phenomena. in Getting Information

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: 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.

• 0.012% share of AI-use records mapped to this task
• 53% of that use is work-related
• Most common interaction: learning
• Average autonomy of the AI: 3.3 (1–5; higher = more autonomous)
• 73% 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.

Working with AI vs. handing it off

Of the AI conversations mapped to this task, the split between people working alongside AI and people delegating the task to it.

How people interact with AI on this task

Other tasks in this occupation

• Supervise or direct the work of other geneticists, biologists, technicians, or biometricians working on genetics research projects. · importance 4.5
• Prepare results of experimental findings for presentation at professional conferences or in scientific journals. · importance 4.4
• Plan or conduct basic genomic and biological research related to areas such as regulation of gene expression, protein interactions, metabolic networks, and nucleic acid or protein complexes. · importance 4.4
• Write grants and papers or attend fundraising events to seek research funds. · importance 4.4
• Search scientific literature to select and modify methods and procedures most appropriate for genetic research goals. · importance 4.4
• Maintain laboratory notebooks that record research methods, procedures, and results. · importance 4.4
• Review, approve, or interpret genetic laboratory results. · importance 4.3
• Attend clinical and research conferences and read scientific literature to keep abreast of technological advances and current genetic research findings. · importance 4.3
• Extract deoxyribonucleic acid (DNA) or perform diagnostic tests involving processes such as gel electrophoresis, Southern blot analysis, and polymerase chain reaction analysis. · importance 4.1
• Analyze determinants responsible for specific inherited traits, and devise methods for altering traits or producing new traits. · importance 4.1
• Evaluate, diagnose, or treat genetic diseases. · importance 3.7
• Instruct medical students, graduate students, or others in methods or procedures for diagnosis and management of genetic disorders. · importance 3.6
• Collaborate with biologists and other professionals to conduct appropriate genetic and biochemical analyses. · importance 3.6
• Create or use statistical models for the analysis of genetic data. · importance 3.5

See all tasks on the Geneticists 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-16834,
  title  = {Evaluate genetic data by performing appropriate mathematical or statistical calculations and analyses.},
  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-16834}
}