# Animal Scientists

> Conduct research in the genetics, nutrition, reproduction, growth, and development of domestic farm animals.

- **SOC code:** 19-1011.00
- **Canonical URL:** https://singulariki.com/roles/role-19-1011-00
- **Also known as:** Animal Nutritionist, Animal Scientist, Beef Cattle Nutritionist, Research Scientist, Animal Nutrition Consultant, Beef Cattle Specialist, Companion Animal Nutritionist, Dairy Nutrition Consultant
- **Frame:** "AI exposure" means task overlap (how codifiable the work is), not jobs lost or a forecast. Every figure below is traced to a named public dataset.

## What this work is

**Core tasks** (O*NET):
- Study nutritional requirements of animals and nutritive values of animal feed materials.
- Write up or orally communicate research findings to the scientific community, producers, and the public.
- Develop improved practices in feeding, housing, sanitation, or parasite and disease control of animals.
- Advise producers about improved products and techniques that could enhance their animal production efforts.
- Conduct research concerning animal nutrition, breeding, or management to improve products or processes.
- Study effects of management practices, processing methods, feed, or environmental conditions on quality and quantity of animal products, such as eggs and milk.
- Research and control animal selection and breeding practices to increase production efficiency and improve animal quality.
- Determine genetic composition of animal populations and heritability of traits, using principles of genetics.
- Crossbreed animals with existing strains or cross strains to obtain new combinations of desirable characteristics.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Biology _(knowledge)_
- Mathematics _(knowledge)_
- Reading Comprehension _(essential_skill)_
- English Language _(knowledge)_
- Chemistry _(knowledge)_
- Writing _(essential_skill)_
- Science _(essential_skill)_
- Critical Thinking _(essential_skill)_
- Complex Problem Solving _(transferable_skill)_
- Judgment and Decision Making _(transferable_skill)_
- Oral Comprehension _(ability)_
- Written Comprehension _(ability)_

**Skills in demand:**
- Biology _(Specialized Skill)_
- Mathematics _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- English Language _(Common Skill)_
- Chemistry _(Specialized Skill)_
- Writing _(Common Skill)_
- Inductive Reasoning _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Complex Problem Solving _(Common Skill)_
- Information Ordering _(Specialized Skill)_
- Active Listening _(Common Skill)_

**Tools & technology:**
- Autodesk AutoCAD _(hot technology)_
- ESRI ArcGIS software _(hot technology)_
- Microsoft Access _(hot technology)_
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft Word _(hot technology)_
- Oracle PeopleSoft _(hot technology)_
- SAS _(hot technology)_
- Structured query language SQL _(hot technology)_
- Tableau _(hot technology)_
- Best Linear Unbiased Prediction BLUP

## AI exposure & outlook

- **AI task-overlap index:** 85th percentile (High) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 77th percentile (High) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 84th percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 83rd percentile (High) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 24th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** yes — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 5.8% growth (About average); 0.2k annual openings; 2.8k → 2.9k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $79,120; 2,470 employed.

## How people actually use AI here

Anthropic Economic Index — measured AI conversations mapped to this occupation's tasks:

- **Automation vs augmentation:** — automation, 51% augmentation (usage-weighted).
- **Autonomy median:** 4.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** learning.

**Tasks most handed to AI here:**
- Study nutritional requirements of animals and nutritive values of animal feed materials. _(0.4% of measured AI use; learning)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me study nutritional requirements of animals and nutritive values of animal feed materials.

## Sources

- **O*NET** (30.3) — U.S. Department of Labor / National Center for O*NET Development. https://www.onetcenter.org/database.html
- **BLS Occupational Employment and Wage Statistics (OEWS)** (May 2024) — U.S. Bureau of Labor Statistics. https://www.bls.gov/oes/
- **BLS Employment Projections** (2024–2034) — U.S. Bureau of Labor Statistics. https://www.bls.gov/emp/
- **Anthropic Economic Index** (v4 (2026-01-15) + v2 (2025-03-27)) — Anthropic. https://www.anthropic.com/economic-index
- **Microsoft “Working with AI”** (working-with-ai) — Microsoft Research. https://www.microsoft.com/en-us/research/
- **“GPTs are GPTs” (Eloundou et al.)** (arXiv 2303.10130) — OpenAI / academic. https://arxiv.org/abs/2303.10130
- **AI Occupational Exposure (AIOE)** (Felten, Raj & Seamans) — academic. https://github.com/AIOE-Data/AIOE
- **Frey & Osborne (2013)** (frey-osborne-automation) — academic. https://www.oxfordmartin.ox.ac.uk/publications/the-future-of-employment/
- **Dingel & Neiman (2020)** (dingel-neiman-workathome) — academic. https://github.com/jdingel/DingelNeiman-workathome

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_Generated from Singulariki's joined dataset; data snapshot 2026-06-02T21:00:32.945303+00:00. https://singulariki.com/roles/role-19-1011-00_