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Singulariki

Biologists

Occupation · SOC 19-1029.04

Research or study basic principles of plant and animal life, such as origin, relationship, development, anatomy, and functions.

Also called: Biologist · Botanist · Fisheries and Wildlife Biologist · Scientist · Aquatic Biologist · Biological Scientist · Fisheries Biologist · Marine Biologist · Research Biologist · Research Scientist · Aquatic Scientist · Bioanalytical Scientist

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-19-1029-04/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.

70th-percentile task overlap — yet about 4,800 openings a year (+1.2% projected, BLS) . 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 74th 1.0
LLM task exposure, γ (OpenAI / Eloundou) Moderate 60th 0.8
AI assistant applicability (Microsoft) High 77th 0.2

OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.2), 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 0.0 · 11th 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 basic principles of plant and animal life, such as origin, relationship, development, anatomy, and function. 6.9%
Study aquatic plants and animals and environmental conditions affecting them, such as radioactivity or pollution. 2.4%
Teach or supervise students and perform research at universities and colleges. 0.5%
Study reactions of plants, animals, and marine species to parasites. 0.3%
Program and use computers to store, process, and analyze data. 0.2%
Collect and analyze biological data about relationships among and between organisms and their environment. 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 · +1.2% by 2034
Projected annual openings 4,800
Employment 2024 → 2034 63,700 → 64,500

“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.

Tasks

All 22 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.

  • Inventory and order lab supplies.

Work activities

Knowledge, skills & abilities

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

Knowledge

Biology 5.0
Education and Training 4.2
English Language 4.1
Mathematics 3.6
Administration and Management 3.4
Chemistry 3.4
Administrative 3.2
Engineering and Technology 3.2
Communications and Media 3.0

Essential skills

Science 4.6
Reading Comprehension 4.1
Writing 4.1
Active Listening 4.0
Speaking 4.0
Critical Thinking 4.0
Mathematics 3.9
Active Learning 3.9
Learning Strategies 3.1
Monitoring 3.0

Abilities

Oral Comprehension 4.1
Written Comprehension 4.1
Written Expression 4.1
Inductive Reasoning 4.1
Oral Expression 4.0
Information Ordering 4.0
Category Flexibility 4.0
Near Vision 4.0
Problem Sensitivity 3.9
Deductive Reasoning 3.9
Mathematical Reasoning 3.9
Speech Clarity 3.9
Speech Recognition 3.8
Fluency of Ideas 3.6
Flexibility of Closure 3.3
Originality 3.1
Number Facility 3.1
Far Vision 3.1

Transferable skills

Complex Problem Solving 3.8
Judgment and Decision Making 3.8
Social Perceptiveness 3.0

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 43.

Tools & technology

Example Category
Microsoft Excel Spreadsheet software Hot technology In demand
Microsoft Office software Office suite software Hot technology In demand
Python Object or component oriented development software Hot technology In demand
R Object or component oriented development software Hot technology In demand
Adobe Photoshop Graphics or photo imaging software Hot technology
C++ Object or component oriented development software Hot technology
ESRI ArcGIS software Geographic information system Hot technology
IBM SPSS Statistics Analytical or scientific software Hot technology
Linux Operating system software Hot technology
Microsoft Access Data base user interface and query software Hot technology
Microsoft PowerPoint Presentation software Hot technology
Microsoft Word Word processing software Hot technology
Oracle Java Object or component oriented development software Hot technology
Perl Object or component oriented development software Hot technology
Structured query language SQL Data base user interface and query software Hot technology
The MathWorks MATLAB Analytical or scientific software Hot technology
UNIX Operating system software Hot technology
Agilent Technologies GeneSpring GX Analytical or scientific software
Basic Local Alignment Search Tool BLAST Analytical or scientific software
BioKin PlateKi Analytical or scientific software
BLAT Analytical or scientific software
Blue Tractor Software DNADynamo Analytical or scientific software
CUBIC Analytical or scientific software
Deoxyribonucleic acid DNA sequence analysis software Analytical or scientific software
EMBOSS Analytical or scientific software
EnzymeX Analytical or scientific software
Excavator Analytical or scientific software
FASTA Analytical or scientific software
FoldX Analytical or scientific software
Gene Codes Sequencher Analytical or scientific software
Geographic information system GIS software Geographic information system
Ingenuity Systems Ingenuity Pathways Analysis Analytical or scientific software
JaMBW Analytical or scientific software
Joint Prediction of Operons JPOP Analytical or scientific software
MacVector Analytical or scientific software
Meyer Instruments Optimas Analytical or scientific software
Minitab Analytical or scientific software
NAMD Analytical or scientific software
National Instruments LabVIEW Development environment software
Partek Incorporated Partek Genomics Suite Analytical or scientific software

Showing the top 40 of 56.

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 5.0
Determine Tasks, Priorities and Goals 4.6
Work With or Contribute to a Work Group or Team 4.5
Freedom to Make Decisions 4.4
Face-to-Face Discussions with Individuals and Within Teams 4.4
Level of Competition 4.0
Contact With Others 4.0
Work Outcomes and Results of Other Workers 3.8
Indoors, Environmentally Controlled 3.8
Telephone Conversations 3.8
Spend Time Sitting 3.7
Coordinate or Lead Others in Accomplishing Work Activities 3.7
Health and Safety of Other Workers 3.6
Importance of Being Exact or Accurate 3.5
Wear Common Protective or Safety Equipment such as Safety Shoes, Glasses, Gloves, Hearing Protection, Hard Hats, or Life Jackets 3.5
Deal With External Customers or the Public in General 3.4
In an Enclosed Vehicle or Operate Enclosed Equipment 3.3
Time Pressure 3.3
Physical Proximity 3.2
Importance of Repeating Same Tasks 3.2
Exposed to Sounds, Noise Levels that are Distracting or Uncomfortable 3.1
Impact of Decisions on Co-workers or Company Results 3.1
Spend Time Making Repetitive Motions 3.0
Outdoors, Exposed to All Weather Conditions 3.0
Frequency of Decision Making 3.0
Consequence of Error 2.8
Public Speaking 2.7
Written Letters and Memos 2.6
Exposed to Contaminants 2.6
Exposed to Very Hot or Cold Temperatures 2.5
Spend Time Standing 2.5
Conflict Situations 2.5
Exposed to Minor Burns, Cuts, Bites, or Stings 2.5
Spend Time Using Your Hands to Handle, Control, or Feel Objects, Tools, or Controls 2.4
Indoors, Not Environmentally Controlled 2.3
Spend Time Walking or Running 2.3
Dealing With Unpleasant, Angry, or Discourteous People 2.1
In an Open Vehicle or Operating Equipment 2.1
Exposed to Cramped Work Space, Awkward Positions 2.1
Spend Time Bending or Twisting Your Body 2.1

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: Biological and Biomedical Sciences , Mathematics and Statistics , Multi/Interdisciplinary Studies , Psychology . 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.

Master's Degree 55.0%
Bachelor's Degree 23.4%
Post-Doctoral Training 21.6%

Interests & work styles

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

Career interests (Holland / RIASEC)

Investigative 7.0
Conventional 4.5
Realistic 4.1
Enterprising 2.8

Interest areas

Life Science 6.9
Nature/Outdoors 4.9
Medical Science 4.7
Mathematics/Statistics 4.3
Public Speaking 3.1
Animal Service 2.9
Agriculture 2.8
Management/Administration 2.7

Work styles

Dependability 5.0
Attention to Detail 4.0
Intellectual Curiosity 3.0
Integrity 3.0

Wages & employment

U.S. · annual wages (BLS OEWS)

$55k10th$68k25th$93kMedian$121k75th$160k90th
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.
64k202465k2034 (proj.)+1.2% · 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 $54,500
25th percentile $67,950
Median (50th) $93,330
75th percentile $121,350
90th percentile $159,780
People employed 59,710

Wages and employment are reported by BLS for the broader occupation group this specialty belongs to (SOC 19-1029), not for the specialty alone.

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 21,620 $97,840
Educational Services · Sector 5,590 $63,290
Manufacturing · Sector 4,180 $108,160
Health Care and Social Assistance · Sector 2,440 $91,830
Wholesale Trade · Sector 1,200 $103,890
Administrative and Support and Waste Management and Remediation Services · Sector 900 $92,020
Testing Laboratories and Services · National industry 880 $61,800
Engineering Services · National industry 800 $85,560
Temporary Help Services · National industry 660 $82,570
Management of Companies and Enterprises · Sector 550 $122,580
Research and Development in the Social Sciences and Humanities · National industry 220 $98,890
Other Services (except Public Administration) · Sector 200 $64,090

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
Testing Laboratories and Services · National industry 13.34× 880
Research and Development in the Social Sciences and Humanities · National industry 9.35× 220
Professional, Scientific, and Technical Services · Sector 5.18× 21,620
Engineering Services · National industry 1.79× 800
Educational Services · Sector 1.06× 5,590
Agriculture, Forestry, Fishing and Hunting · Sector 0.85× 140
Manufacturing · Sector 0.85× 4,180
Temporary Help Services · National industry 0.64× 660

Part of the Agriculture , Energy & Natural Resources and Healthcare & Human Services career clusters.

Exposure quadrant: AI task-overlap percentile vs Median pay Biologists sits at the 70th percentile of AI task-overlap and the 78th 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 Biologists Biological Technicians Conservation Scientists Zoologists and Wildlife Biologists Biochemists and Biophysicists Molecular and Cellular Biologists Natural Sciences Managers Industrial Ecologists 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 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

Biologists show 70th-percentile AI task overlap — and about 4,800 annual U.S. openings

  • Biologists rank in the 70th 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 4,800 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 (+1.2%) from 2024 to 2034.BLS Employment Projections 2024–34
  • Median annual pay is $93,330, across about 59,710 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Biologists show 70th-percentile AI task overlap — and about 4,800 annual U.S. openings

• Biologists rank in the 70th 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 4,800 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 (+1.2%) from 2024 to 2034. (BLS Employment Projections 2024–34)
• Median annual pay is $93,330, across about 59,710 U.S. workers. (BLS OEWS (May 2024))

Source: Singulariki — "Biologists". https://singulariki.com/roles/role-19-1029-04
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. "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-19-1029-04

APA

Singulariki. (2026). Biologists. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-19-1029-04

BibTeX
@misc{singulariki-role-19-1029-04,
  title  = {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-19-1029-04}
}

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

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