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Zoologists and Wildlife Biologists

Occupation · SOC 19-1023.00

Study the origins, behavior, diseases, genetics, and life processes of animals and wildlife. May specialize in wildlife research and management. May collect and analyze biological data to determine the environmental effects of present and potential use of land and water habitats.

Also called: Conservation Biologist · Fish and Wildlife Biologist · Fisheries Biologist · Wildlife Biologist · Aquatic Biologist · Fisheries and Wildlife Biological Scientist · Forest Wildlife Biologist · Habitat Biologist · Wildlife Refuge Specialist · Zoologist · Animal Behaviorist · Animal Biologist

Job family: Life, Physical, and Social Science Occupations

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A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch /roles/role-19-1023-00/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.

Often handed to AI

Task areas most often handled directively in observed AI conversations — candidates to delegate with light review.

  • Analyze characteristics of animals to identify and classify them. · 2.5%
See how AI is used here →

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 characteristics of animals, such as origin, interrelationships, classification, life histories and diseases, development, genetics, and distribution. · 0.5%
See collaboration patterns →

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 characteristics of animals, such as origin, interrelationships, classification, life histories and diseases, development, genetics, and distribution. · 97.9% need a human
  • Analyze characteristics of animals to identify and classify them. · 92.4% need a human
See the boundary tasks →

64th-percentile task overlap — yet about 1,400 openings a year (+1.6% projected, BLS), and observed AI use leans 5570% 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.) Moderate 57th 0.3
LLM task exposure, γ (OpenAI / Eloundou) Moderate 66th 0.8
AI assistant applicability (Microsoft) High 72nd 0.2

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 0.8). 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 0.3 · 39th percentile among occupations · Moderate

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.

Analyze characteristics of animals to identify and classify them. 3.2%
Disseminate information by writing reports and scientific papers or journal articles, and by making presentations and giving talks for schools, clubs, interest groups and park interpretive programs. 0.5%
Inform and respond to public regarding wildlife and conservation issues, such as plant identification, hunting ordinances, and nuisance wildlife. 0.3%
Prepare collections of preserved specimens or microscopic slides for species identification and study of development or disease. 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 · +1.6% by 2034
Projected annual openings 1,400
Employment 2024 → 2034 18,200 → 18,500

“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.

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 55.7% working with AI · 41.6% 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
Analyze characteristics of animals to identify and classify them. Directive 2.5%
Study characteristics of animals, such as origin, interrelationships, classification, life histories and diseases, development, genetics, and distribution. Learning 0.5%

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 characteristics of animals, such as origin, interrelationships, classification, life histories and diseases, development, genetics, and distribution. 97.9%
Analyze characteristics of animals to identify and classify them. 92.4%

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 analyze characteristics of animals to identify and classify them.

    From: Analyze characteristics of animals to identify and classify them. · 2.5% of measured AI use · directive

  • Help me study characteristics of animals, such as origin, interrelationships, classification, life histories and diseases, development, genetics, and distribution.

    From: Study characteristics of animals, such as origin, interrelationships, classification, life histories and diseases, development, genetics, and distribution. · 0.5% of measured AI use · learning

Tasks

All 14 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.

Emerging tasks

Newer responsibilities O*NET has flagged as growing for this occupation.

  • Use advanced technologies, such as GIS, remote sensing, and drone technology, for wildlife tracking, habitat mapping, and population studies.

Work activities

Knowledge, skills & abilities

O*NET importance rating, from 1 (not important) to 5 (extremely important).

Knowledge

Biology 4.8
English Language 3.8
Customer and Personal Service 3.7
Mathematics 3.4
Geography 3.4
Law and Government 3.3
Administration and Management 3.3

Essential skills

Reading Comprehension 4.0
Active Listening 4.0
Speaking 4.0
Critical Thinking 4.0
Writing 3.9
Science 3.9
Active Learning 3.6
Monitoring 3.4
Mathematics 3.0

Transferable skills

Complex Problem Solving 4.0
Judgment and Decision Making 4.0
Coordination 3.8
Time Management 3.4
Social Perceptiveness 3.3
Systems Analysis 3.3
Persuasion 3.1
Negotiation 3.1

Abilities

Oral Comprehension 4.0
Written Comprehension 4.0
Oral Expression 4.0
Written Expression 4.0
Deductive Reasoning 4.0
Inductive Reasoning 4.0
Problem Sensitivity 3.8
Information Ordering 3.8
Speech Clarity 3.8
Speech Recognition 3.6
Category Flexibility 3.5
Near Vision 3.5
Fluency of Ideas 3.4
Originality 3.3
Selective Attention 3.3
Flexibility of Closure 3.1

Skills in demand

Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.

Showing the top 40 of 41.

Tools & technology

Example Category
ESRI ArcGIS software Geographic information system Hot technology In demand
Microsoft Excel Spreadsheet software Hot technology In demand
Microsoft Office software Office suite software Hot technology In demand
Microsoft Outlook Electronic mail software Hot technology In demand
Microsoft PowerPoint Presentation software Hot technology In demand
Microsoft Word Word processing software Hot technology In demand
Microsoft Access Data base user interface and query software Hot technology
Microsoft Active Server Pages ASP Web platform development software Hot technology
Microsoft Project Project management software Hot technology
Python Object or component oriented development software Hot technology
R Object or component oriented development software Hot technology
Salesforce software Customer relationship management CRM software Hot technology
SAS Analytical or scientific software Hot technology
Computer modeling software Analytical or scientific software
Corel WordPerfect Office Suite Office suite software
Database management software Data base user interface and query software
Email software Electronic mail software
ESRI ArcView Geographic information system
Geographic information system GIS software Geographic information system
Geographic information system GIS systems Geographic information system
Global positioning system GPS software Mobile location based services software
HATPRO Analytical or scientific software
IBM Lotus 1-2-3 Spreadsheet software
Relational database software Data base user interface and query software
Statistical software Analytical or scientific software
Web browser software Internet browser software

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.

E-Mail 4.9
Telephone Conversations 4.6
Face-to-Face Discussions with Individuals and Within Teams 4.5
Contact With Others 4.4
Work With or Contribute to a Work Group or Team 4.3
Indoors, Environmentally Controlled 4.3
Determine Tasks, Priorities and Goals 4.2
Coordinate or Lead Others in Accomplishing Work Activities 4.2
Importance of Being Exact or Accurate 4.1
Freedom to Make Decisions 4.1
Work Outcomes and Results of Other Workers 3.9
Deal With External Customers or the Public in General 3.9
Impact of Decisions on Co-workers or Company Results 3.8
Frequency of Decision Making 3.7
Health and Safety of Other Workers 3.7
Spend Time Sitting 3.6
In an Enclosed Vehicle or Operate Enclosed Equipment 3.6
Importance of Repeating Same Tasks 3.5
Outdoors, Exposed to All Weather Conditions 3.4
Time Pressure 3.3
Physical Proximity 3.3
Level of Competition 3.1
Indoors, Not Environmentally Controlled 3.0
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 3.0
Written Letters and Memos 2.9
Exposed to Very Hot or Cold Temperatures 2.9
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 2.9
Consequence of Error 2.9
Exposed to Minor Burns, Cuts, Bites, or Stings 2.8
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 2.7
Outdoors, Under Cover 2.7
Spend Time Standing 2.6
Spend Time Making Repetitive Motions 2.6
In an Open Vehicle or Operating Equipment 2.6
Conflict Situations 2.5
Dealing With Unpleasant, Angry, or Discourteous People 2.4
Public Speaking 2.4
Exposed to Hazardous Equipment 2.3
Exposed to Contaminants 2.3
Spend Time Walking or Running 2.3

How to get in

Job zone
Zone 4 — Job Zone Four: Considerable Preparation Needed
Education
Most of these occupations require a four-year bachelor's degree, but some do not.
Typical entry-level education
Bachelor's degree · BLS, the typical path — not a requirement
Related experience
A considerable amount of work-related skill, knowledge, or experience is needed for these occupations. For example, an accountant must complete four years of college and work for several years in accounting to be considered qualified.
Preparation level
SVP (7.0 to < 8.0) — total schooling plus on-the-job experience.

What to study: Biological and Biomedical Sciences , Multi/Interdisciplinary Studies , Natural Resources and Conservation . 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.

Bachelor's Degree 57.2%
Master's Degree 40.0%
Post-Doctoral Training 2.8%

Interests & work styles

The interests and personal qualities O*NET associates with people who do this work.

Career interests (Holland / RIASEC)

Investigative 7.0
Realistic 5.4
Conventional 3.7

Interest areas

Life Science 6.8
Nature/Outdoors 6.5
Mathematics/Statistics 4.0
Animal Service 3.5
Public Speaking 3.2
Agriculture 3.2
Medical Science 2.9
Management/Administration 2.7
Physical/Manual Labor 2.6

Work styles

Dependability 5.0
Attention to Detail 4.0
Integrity 3.0
Intellectual Curiosity 2.6

Wages & employment

U.S. · annual wages (BLS OEWS)

$48k10th$58k25th$73kMedian$91k75th$113k90th
Annual wages by percentile — U.S. (BLS OEWS). The light band spans the 10th–90th percentile; the darker band is the middle half (25th–75th); the line is the median.
18k202419k2034 (proj.)+1.6% · About average
Projected U.S. employment, 2024–2034 (BLS Employment Projections). A labor-market forecast for the occupation, not an AI-impact forecast.
10th percentile $48,240
25th percentile $58,360
Median (50th) $72,860
75th percentile $90,590
90th percentile $113,350
People employed 16,920

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 2,550 $74,270
Other Services (except Public Administration) · Sector 1,250 $58,720
Educational Services · Sector 610 $67,040
Arts, Entertainment, and Recreation · Sector 460 $48,310
Engineering Services · National industry 320 $86,270
Administrative and Support and Waste Management and Remediation Services · Sector $66,680

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
Other Services (except Public Administration) · Sector 2.57× 1,250
Engineering Services · National industry 2.52× 320
Professional, Scientific, and Technical Services · Sector 2.16× 2,550
Arts, Entertainment, and Recreation · Sector 1.59× 460
Educational Services · Sector 0.41× 610

Part of the Energy & Natural Resources career cluster.

Exposure quadrant: AI task-overlap percentile vs Median pay Zoologists and Wildlife Biologists sits at the 64th percentile of AI task-overlap and the 63rd percentile of median pay, placed here against 12 adjacent occupations on the same two axes. Lower overlap · higher pay Higher overlap · higher pay Higher overlap · lower pay Lower overlap · lower pay Zoologists and Wildlife Biologists Fish and Game Wardens Biological Technicians Geoscientists, Except Hydrologists and Geographers Environmental Restoration Planners AI task-overlap percentile → ↑ Median pay
AI task-overlap percentile (horizontal) vs. median-pay percentile (vertical), across all scored occupations. This occupation is highlighted; related occupations are plotted alongside it. Overlap measures shared tasks with AI, not automation.

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 Zoologists and Wildlife Biologists — 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.

Paths in

How people typically prepare for this work.

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

Zoologists and Wildlife Biologists show 64th-percentile AI task overlap — and about 1,400 annual U.S. openings

  • Zoologists and Wildlife Biologists rank in the 64th percentile (Moderate 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 1,400 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 (+1.6%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $72,860, across about 16,920 U.S. workers.BLS OEWS (May 2024)
  • Of the AI use actually observed for this work, 56% 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
Zoologists and Wildlife Biologists show 64th-percentile AI task overlap — and about 1,400 annual U.S. openings

• Zoologists and Wildlife Biologists rank in the 64th percentile (Moderate 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 1,400 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 (+1.6%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $72,860, across about 16,920 U.S. workers. (BLS OEWS (May 2024))
• Of the AI use actually observed for this work, 56% 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 — "Zoologists and Wildlife Biologists". https://singulariki.com/roles/role-19-1023-00
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.

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

Cite this page
Plain

Singulariki. "Zoologists and Wildlife Biologists." 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-19-1023-00

APA

Singulariki. (2026). Zoologists and Wildlife Biologists. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-19-1023-00

BibTeX
@misc{singulariki-role-19-1023-00,
  title  = {Zoologists and Wildlife Biologists},
  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-19-1023-00}
}

Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.

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