Use as a copilot
Task areas where people work with AI — iterating, learning, or checking — staying in the loop rather than handing the task off.
- Study nutritional requirements of animals and nutritive values of animal feed materials. · 0.4%
Animal Scientists
Occupation · SOC 19-1011.00
Conduct research in the genetics, nutrition, reproduction, growth, and development of domestic farm animals.
Also called: Animal Nutritionist · Animal Scientist · Beef Cattle Nutritionist · Research Scientist · Animal Nutrition Consultant · Beef Cattle Specialist · Companion Animal Nutritionist · Dairy Nutrition Consultant · Dairy Research Nutritionist · Scientist · Animal Anatomist · Animal Behaviorist
Job family: Life, Physical, and Social Science Occupations
Take this to your AI
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-19-1011-00/context.md directly.
AI work map
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
Keep a human in the loop
Task areas where a human was still judged necessary in a large share of observed conversations — not a safety ruling, an observed-need signal.
- Study nutritional requirements of animals and nutritive values of animal feed materials. · 91.9% need a human
Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Market signal
Independent published positions, read together — not a forecast.
- About average employment outlook (+5.8% by 2034)
- 200 openings/yr
- High AI exposure
- Observed AI use leans augmentation
- Median pay $79,120/yr
- Can largely be done remotely (teleworkable)
- A reversal from 2013 — rated low automation risk then (24th), high AI task-overlap now (85th)
85th-percentile task overlap — yet about 200 openings a year (+5.8% projected, BLS), and observed AI use leans 5135% copilot, not hand-off (AEI) . What exposure means →
AI & job outlook
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Exposure to current AI
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| Overall AI exposure (Felten et al.) High | 77th | 1.0 | |
| LLM task exposure, γ (OpenAI / Eloundou) High | 84th | 0.9 | |
| AI assistant applicability (Microsoft) High | 83rd | 0.3 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.5), and including AI-powered software (γ 0.9). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
Most of this job's tasks can be done remotely (Dingel–Neiman), which tends to track with higher digital and AI exposure.
Historical automation estimate (2013)
A pre-LLM (2013) estimate of how automatable this job is by computerization and robotics. Shown for historical context only — it is not part of any current AI ranking.
Frey–Osborne probability 0.1 · 24th percentile among occupations · Low
How AI is actually used in this job
Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.
| Study nutritional requirements of animals and nutritive values of animal feed materials. | 0.5% | |
| Advise producers about improved products and techniques that could enhance their animal production efforts. | 0.5% | |
| Determine genetic composition of animal populations and heritability of traits, using principles of genetics. | 0.2% | |
| Research and control animal selection and breeding practices to increase production efficiency and improve animal quality. | 0.2% |
Job outlook
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | About average · +5.8% by 2034 |
| Projected annual openings | 200 |
| Employment 2024 → 2034 | 2,800 → 2,900 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
Where this work sits on the global GenAI gradient
The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.
Animal Scientists sits at the 77th percentile of 427
occupations on the global GenAI task-exposure gradient
— exposure rose from 2023 to 2025. Each dot is one occupation; the
ringed one is this work. Exposure is task overlap, not automation or jobs lost.
40% mean task exposure (2025)
77th percentile of 427 placed occupations
+5 pts shift 2023 → 2025
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Biologists, Botanists, Zoologists and Related Professionals · 2131 | 40% | Gradient 2 |
Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.
Working with AI in this job
How people actually apply AI to this occupation's tasks, from Claude.ai (Free and Pro) conversations in the Anthropic Economic Index, 2026-01-15. This is one AI assistant's consumer sample — not all AI, not the whole workforce. Autonomy and the collaboration mix are model-rated estimates; figures below the sample floor are hidden.
| Augmentation vs. automation | 51.4% working with AI · — handed to AI |
| Most common way people use AI here | Learning · you ask AI to explain or teach |
| Typical AI autonomy | 4.0 / 5 · higher = AI acts more independently |
What people delegate to AI
The role's most common tasks in AI conversations, each tagged with how people work with the AI on it. “Usage” is the share of observed conversations, not of the job.
| Task | How | Usage |
|---|---|---|
| Study nutritional requirements of animals and nutritive values of animal feed materials. | Learning | 0.4% |
Where a human is still needed
Tasks where the model most often judged that a person remained necessary — a useful read on the current boundary, not a guarantee.
| Study nutritional requirements of animals and nutritive values of animal feed materials. | 91.9% |
What people most often hand AI here
Example prompts phrased from the tasks people most often delegate to AI in this occupation (Anthropic Economic Index). Each shows the underlying measured task and its share of observed AI use. They are suggested phrasings of real tasks — starting points, not endorsed instructions.
-
Help me study nutritional requirements of animals and nutritive values of animal feed materials.From: Study nutritional requirements of animals and nutritive values of animal feed materials. · 0.4% of measured AI use · learning
Tasks
All 9 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
- Study nutritional requirements of animals and nutritive values of animal feed materials. Core · importance 4.6
- Write up or orally communicate research findings to the scientific community, producers, and the public. Core · importance 4.4
- Develop improved practices in feeding, housing, sanitation, or parasite and disease control of animals. Core · importance 4.4
- Advise producers about improved products and techniques that could enhance their animal production efforts. Core · importance 4.4
- Conduct research concerning animal nutrition, breeding, or management to improve products or processes. Core · importance 4.3
- Study effects of management practices, processing methods, feed, or environmental conditions on quality and quantity of animal products, such as eggs and milk. Core · importance 4.3
- Research and control animal selection and breeding practices to increase production efficiency and improve animal quality. Core · importance 3.7
- Determine genetic composition of animal populations and heritability of traits, using principles of genetics. Supplemental · importance 3.2
- Crossbreed animals with existing strains or cross strains to obtain new combinations of desirable characteristics. Supplemental · importance 2.9
Work activities
- Prepare scientific or technical reports or presentations.
- Research livestock management methods.
- Advise others on business or operational matters.
- Advise others on ways to improve processes or products.
- Develop agricultural methods.
- Research genetic characteristics or expression.
- Perform animal breeding procedures.
Knowledge, skills & abilities
O*NET importance rating, from 1 (not important) to 5 (extremely important).
Knowledge
| Biology | 4.6 | |
| Mathematics | 4.1 | |
| English Language | 4.1 | |
| Chemistry | 4.0 | |
| Food Production | 3.8 | |
| Education and Training | 3.5 | |
| Customer and Personal Service | 3.4 | |
| Computers and Electronics | 3.4 | |
| Sales and Marketing | 3.1 |
Essential skills
| Reading Comprehension | 4.1 | |
| Writing | 4.0 | |
| Science | 4.0 | |
| Critical Thinking | 4.0 | |
| Active Listening | 3.9 | |
| Speaking | 3.9 | |
| Active Learning | 3.9 | |
| Monitoring | 3.8 | |
| Mathematics | 3.4 | |
| Learning Strategies | 3.3 |
Transferable skills
| Complex Problem Solving | 4.0 | |
| Judgment and Decision Making | 4.0 | |
| Systems Analysis | 3.8 | |
| Systems Evaluation | 3.3 | |
| Time Management | 3.3 |
Abilities
| Oral Comprehension | 4.0 | |
| Written Comprehension | 4.0 | |
| Oral Expression | 4.0 | |
| Written Expression | 4.0 | |
| Problem Sensitivity | 4.0 | |
| Deductive Reasoning | 4.0 | |
| Inductive Reasoning | 4.0 | |
| Speech Clarity | 4.0 | |
| Information Ordering | 3.9 | |
| Category Flexibility | 3.9 | |
| Near Vision | 3.9 | |
| Fluency of Ideas | 3.8 | |
| Speech Recognition | 3.8 | |
| Originality | 3.3 | |
| Mathematical Reasoning | 3.3 | |
| Number Facility | 3.3 |
Skills in demand
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
Tools & technology
Work context
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
How to get in
- Job zone
- Zone 5 — Job Zone Five: Extensive Preparation Needed
- Education
- Most of these occupations require graduate school. For example, they may require a master's degree, and some require a Ph.D., M.D., or J.D. (law degree).
- Typical entry-level education
- Bachelor's degree · BLS, the typical path — not a requirement
- Related experience
- Extensive skill, knowledge, and experience are needed for these occupations. Many require more than five years of experience. For example, surgeons must complete four years of college and an additional five to seven years of specialized medical training to be able to do their job.
- Preparation level
- SVP (8.0 and above) — total schooling plus on-the-job experience.
What to study: Agriculture, Agriculture Operations, and Related Sciences , Multi/Interdisciplinary Studies . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Education of current workers
Share of people in this occupation at each level of education.
| Doctoral Degree | 43.5% | |
| Master's Degree | 21.7% | |
| Bachelor's Degree | 13.0% | |
| Post-Doctoral Training | 13.0% | |
| Post-Secondary Certificate | 4.3% | |
| Associate's Degree (or other 2-year degree) | 4.3% |
Interests & work styles
The interests and personal qualities O*NET associates with people who do this work.
Career interests (Holland / RIASEC)
| Investigative | 6.9 | |
| Realistic | 5.2 | |
| Conventional | 3.4 | |
| Enterprising | 2.4 |
Interest areas
| Life Science | 6.4 | |
| Agriculture | 5.3 | |
| Mathematics/Statistics | 4.1 | |
| Medical Science | 3.9 | |
| Public Speaking | 2.8 | |
| Animal Service | 2.6 | |
| Physical Science | 2.3 | |
| Nature/Outdoors | 2.3 |
Work styles
| Dependability | 5.0 | |
| Attention to Detail | 4.0 | |
| Intellectual Curiosity | 3.0 | |
| Innovation | 2.3 |
Wages & employment
U.S. · annual wages (BLS OEWS)
| 10th percentile | $48,440 |
| 25th percentile | $59,610 |
| Median (50th) | $79,120 |
| 75th percentile | $128,450 |
| 90th percentile | $235,750 |
| People employed | 2,470 |
Industries that employ this occupation
Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.
| Industry | Workers | National median pay |
|---|---|---|
| Professional, Scientific, and Technical Services · Sector | 810 | $79,250 |
| Educational Services · Sector | 640 | $65,190 |
| Agriculture, Forestry, Fishing and Hunting · Sector | 290 | $64,940 |
| Manufacturing · Sector | 250 | $119,640 |
| Wholesale Trade · Sector | 150 | $138,030 |
| Management of Companies and Enterprises · Sector | 70 | $124,940 |
| Arts, Entertainment, and Recreation · Sector | 60 | $49,350 |
| Other Services (except Public Administration) · Sector | 50 | $82,090 |
Where this work is most concentrated
Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).
| Industry | Concentration | Workers |
|---|---|---|
| Agriculture, Forestry, Fishing and Hunting · Sector | 42.76× | 290 |
| Professional, Scientific, and Technical Services · Sector | 4.7× | 810 |
| Educational Services · Sector | 2.93× | 640 |
| Wholesale Trade · Sector | 1.55× | 150 |
| Manufacturing · Sector | 1.22× | 250 |
Related occupations
Part of the Agriculture career cluster.
- Food Scientists and Technologists · 19-1012.00 Compare →
- Soil and Plant Scientists · 19-1013.00 Compare →
- Microbiologists · 19-1022.00 Compare →
- Farmers, Ranchers, and Other Agricultural Managers · 11-9013.00 Compare →
- Veterinarians · 29-1131.00 Compare →
- Agricultural Sciences Teachers, Postsecondary · 25-1041.00 Compare →
- Biochemists and Biophysicists · 19-1021.00 Compare →
- Geneticists · 19-1029.03 Compare →
- Biologists · 19-1029.04 Compare →
- Zoologists and Wildlife Biologists · 19-1023.00 Compare →
- Animal Breeders · 45-2021.00 Compare →
- Agricultural Technicians · 19-4012.00 Compare →
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
What you can do with this
Options the data surfaces for Animal Scientists — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Skills that travel
Capabilities this work builds that are used across many other occupations.
Adjacent roles
Occupations O*NET rates as related — the nearby moves on the map.
Paths in
How people typically prepare for this work.
- Bachelor's degree · typical entry level
- Job zone 5 — Job Zone Five: Extensive Preparation Needed · preparation tier
- Agriculture, Agriculture Operations, and Related Sciences · field of study
- Multi/Interdisciplinary Studies · field of study
Zoom out
On the global GenAI exposure gradient this work sits around the 77th percentile of 427 international occupations.
Write a report on thisheadline · factoids · citation
Animal Scientists show 85th-percentile AI task overlap — and about 200 annual U.S. openings
- Animal Scientists rank in the 85th percentile (High band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated.Eloundou et al. (GPTs are GPTs) + Felten AIOE
- The occupation is projected to see about 200 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI.BLS Employment Projections 2024–34
- BLS projects employment to be about average (+5.8%) from 2024 to 2034.BLS Employment Projections 2024–34
- Median annual pay is $79,120, across about 2,470 U.S. workers.BLS OEWS (May 2024)
- Of the AI use actually observed for this work, 51% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census.2026-01-15-v4-plus-2025-03-27-v2
Copy the whole kit
Animal Scientists show 85th-percentile AI task overlap — and about 200 annual U.S. openings • Animal Scientists rank in the 85th percentile (High band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) • The occupation is projected to see about 200 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34) • BLS projects employment to be about average (+5.8%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $79,120, across about 2,470 U.S. workers. (BLS OEWS (May 2024)) • Of the AI use actually observed for this work, 51% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census. (2026-01-15-v4-plus-2025-03-27-v2) Source: Singulariki — "Animal Scientists". https://singulariki.com/roles/role-19-1011-00 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom
Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
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
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- Microsoft “Working with AI” working-with-ai Microsoft Research
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Plain
Singulariki. "Animal Scientists." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-19-1011-00
APA
Singulariki. (2026). Animal Scientists. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-19-1011-00
BibTeX
@misc{singulariki-role-19-1011-00,
title = {Animal Scientists},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-19-1011-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.