Design research studies in collaboration with physicians, life scientists, or other professionals.

“Design research studies in collaboration with physicians, life scientists, or other professionals.” is a core task performed by Biostatisticians. Among the occupation's 25 rated tasks, workers place it 21st by importance (#5 most important). About 100% 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.

• Develop research plans or methodologies. in Thinking Creatively

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: T2.

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.

• 0.007% share of AI-use records mapped to this task

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

• Draw conclusions or make predictions, based on data summaries or statistical analyses. · importance 4.5
• Analyze clinical or survey data, using statistical approaches such as longitudinal analysis, mixed-effect modeling, logistic regression analyses, and model-building techniques. · importance 4.4
• Write detailed analysis plans and descriptions of analyses and findings for research protocols or reports. · importance 4.4
• Calculate sample size requirements for clinical studies. · importance 4.3
• Read current literature, attend meetings or conferences, and talk with colleagues to keep abreast of methodological or conceptual developments in fields such as biostatistics, pharmacology, life sciences, and social sciences. · importance 4.3
• Prepare tables and graphs to present clinical data or results. · importance 4.3
• Write program code to analyze data with statistical analysis software. · importance 4.3
• Provide biostatistical consultation to clients or colleagues. · importance 4.3
• Review clinical or other medical research protocols and recommend appropriate statistical analyses. · importance 4.2
• Prepare statistical data for inclusion in reports to data monitoring committees, federal regulatory agencies, managers, or clients. · importance 4.2
• Determine project plans, timelines, or technical objectives for statistical aspects of biological research studies. · importance 4.2
• Develop or implement data analysis algorithms. · importance 4.2
• Plan or direct research studies related to life sciences. · importance 4.0
• Prepare articles for publication or presentation at professional conferences. · importance 4.0

See all tasks on the Biostatisticians 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-16258,
  title  = {Design research studies in collaboration with physicians, life scientists, or other professionals.},
  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-16258}
}