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 →Bioinformatics Technicians
Occupation · SOC 15-2099.01
Apply principles and methods of bioinformatics to assist scientists in areas such as pharmaceuticals, medical technology, biotechnology, computational biology, proteomics, computer information science, biology and medical informatics. Apply bioinformatics tools to visualize, analyze, manipulate or interpret molecular data. May build and maintain databases for processing and analyzing genomic or other biological information.
Also called: Bioinformatics Analyst · Bioinformatics Specialist · Biotechnician · Scientific Informatics Analyst · Bioinformatics Technician · Museum Informatics Specialist · Research Scientist · Bioinformatics Research Technician · Biometrics Technician · Data Analyst · Data Technician · Database Technician
Job family: Computer and Mathematical Occupations
Take this to your AI
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-15-2099-01/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.
Market signal
Independent published positions, read together — not a forecast.
- About average employment outlook (+4.0% by 2034)
- 300 openings/yr
- High AI exposure
- Median pay $71,490/yr
97th-percentile task overlap — yet about 300 openings a year (+4% 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 |
|---|---|---|---|
| LLM task exposure, γ (OpenAI / Eloundou) High | 89th | 1.0 | |
| AI assistant applicability (Microsoft) High | 96th | 0.3 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.8), with simple added tooling (β 0.9), and including AI-powered software (γ 1.0). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
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.
| Develop or apply data mining and machine learning algorithms. | 79.2% | |
| Write computer programs or scripts to be used in querying databases. | 11.3% | |
| Monitor database performance and perform any necessary maintenance, upgrades, or repairs. | 6.7% | |
| Develop or maintain applications that process biologically based data into searchable databases for purposes of analysis, calculation, or presentation. | 5.3% | |
| Create data management or error-checking procedures and user manuals. | 5.1% | |
| Document all database changes, modifications, or problems. | 2.9% |
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 · +4.0% by 2034 |
| Projected annual openings | 300 |
| Employment 2024 → 2034 | 5,000 → 5,200 |
“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.
Bioinformatics Technicians sits at the 94th 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.
57% mean task exposure (2025)
94th percentile of 427 placed occupations
+8 pts shift 2023 → 2025
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Statistical, Mathematical and Related Associate Professionals · 3314 | 57% | Gradient 3 |
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 19 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
- Analyze or manipulate bioinformatics data using software packages, statistical applications, or data mining techniques. Core · importance 4.0
- Develop or apply data mining and machine learning algorithms. Supplemental · importance 3.9
- Extend existing software programs, web-based interactive tools, or database queries as sequence management and analysis needs evolve. Core · importance 3.9
- Maintain awareness of new and emerging computational methods and technologies. Core · importance 3.9
- Design or implement web-based tools for querying large-scale biological databases. Supplemental · importance 3.9
- Conduct quality analyses of data inputs and resulting analyses or predictions. Core · importance 3.8
- Enter or retrieve information from structural databases, protein sequence motif databases, mutation databases, genomic databases or gene expression databases. Core · importance 3.8
- Develop or maintain applications that process biologically based data into searchable databases for purposes of analysis, calculation, or presentation. Core · importance 3.8
- Confer with researchers, clinicians, or information technology staff to determine data needs and programming requirements and to provide assistance with database-related research activities. Core · importance 3.8
- Participate in the preparation of reports or scientific publications. Core · importance 3.8
- Monitor database performance and perform any necessary maintenance, upgrades, or repairs. Supplemental · importance 3.6
- Confer with database users about project timelines and changes. Supplemental · importance 3.6
- Write computer programs or scripts to be used in querying databases. Core · importance 3.5
- Document all database changes, modifications, or problems. Core · importance 3.5
- Create data management or error-checking procedures and user manuals. Core · importance 3.4
- Perform routine system administrative functions, such as troubleshooting, back-ups, or upgrades. Supplemental · importance 3.4
- Package bioinformatics data for submission to public repositories. Supplemental · importance 3.3
- Train bioinformatics staff or researchers in the use of databases. Supplemental · importance 3.1
- Test new or updated software or tools and provide feedback to developers. Supplemental · importance 3.1
Work activities
- Develop computer or online applications.
- Search files, databases or reference materials to obtain needed information.
- Enter information into databases or software programs.
- Assess database performance.
- Maintain computer equipment or software.
- Analyze operational or research data.
- Confer with coworkers to coordinate work activities.
- Develop data analysis or data management procedures.
- Maintain operational records.
- Maintain current knowledge related to work activities.
- Prepare research or technical reports.
- Train personnel.
- Confer with organizational members to accomplish work activities.
- Format digital documents, data, or images.
- Create electronic data backup to prevent loss of information.
- Troubleshoot issues with computer applications or systems.
Knowledge, skills & abilities
O*NET importance rating, from 1 (not important) to 5 (extremely important).
Knowledge
| Computers and Electronics | 4.8 | |
| Mathematics | 4.5 | |
| English Language | 4.0 | |
| Biology | 3.8 | |
| Design | 2.9 |
Abilities
| Written Comprehension | 4.0 | |
| Oral Comprehension | 3.8 | |
| Deductive Reasoning | 3.8 | |
| Inductive Reasoning | 3.8 | |
| Written Expression | 3.6 | |
| Information Ordering | 3.6 | |
| Mathematical Reasoning | 3.6 | |
| Oral Expression | 3.5 | |
| Selective Attention | 3.5 | |
| Problem Sensitivity | 3.4 | |
| Category Flexibility | 3.4 | |
| Flexibility of Closure | 3.4 | |
| Near Vision | 3.4 | |
| Speech Recognition | 3.4 | |
| Speech Clarity | 3.4 | |
| Fluency of Ideas | 3.3 | |
| Number Facility | 3.1 | |
| Originality | 3.0 | |
| Perceptual Speed | 3.0 | |
| Visualization | 3.0 |
Essential skills
| Reading Comprehension | 3.8 | |
| Active Listening | 3.5 | |
| Writing | 3.5 | |
| Critical Thinking | 3.5 | |
| Active Learning | 3.5 | |
| Speaking | 3.4 | |
| Mathematics | 3.4 | |
| Monitoring | 3.3 | |
| Science | 3.1 |
Transferable skills
| Complex Problem Solving | 3.5 | |
| Judgment and Decision Making | 3.5 | |
| Systems Analysis | 3.3 | |
| Programming | 3.1 | |
| Systems Evaluation | 3.0 | |
| Time Management | 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
Showing the top 40 of 47.
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 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 , Mathematics and Statistics , 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.
| Bachelor's Degree | 50.9% | |
| Master's Degree | 40.7% | |
| Doctoral Degree | 4.1% | |
| Post-Baccalaureate Certificate | 2.5% | |
| Post-Doctoral Training | 1.9% |
Interests & work styles
The interests and personal qualities O*NET associates with people who do this work.
Career interests (Holland / RIASEC)
| Investigative | 6.4 | |
| Conventional | 6.0 | |
| Realistic | 3.8 |
Interest areas
| Information Technology | 6.0 | |
| Mathematics/Statistics | 5.5 | |
| Life Science | 5.1 | |
| Medical Science | 5.0 | |
| Health Care Service | 3.0 | |
| Physical Science | 2.8 | |
| Engineering | 2.7 | |
| Office Work | 2.6 |
Work styles
| Dependability | 6.0 | |
| Attention to Detail | 5.0 | |
| Cautiousness | 4.0 | |
| Intellectual Curiosity | 3.0 | |
| Adaptability | 2.3 |
Wages & employment
U.S. · annual wages (BLS OEWS)
| 10th percentile | $40,330 |
| 25th percentile | $52,440 |
| Median (50th) | $71,490 |
| 75th percentile | $101,920 |
| 90th percentile | $154,140 |
| People employed | 4,660 |
Wages and employment are reported by BLS for the broader occupation group this specialty belongs to (SOC 15-2099), 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 | 1,540 | $77,910 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 460 | $73,960 |
| Management of Companies and Enterprises · Sector | 280 | $78,870 |
| Educational Services · Sector | 280 | $77,130 |
| Manufacturing · Sector | 190 | $79,810 |
| Temporary Help Services · National industry | 150 | $63,500 |
| Finance and Insurance · Sector | 110 | $66,560 |
| Other Services (except Public Administration) · Sector | 100 | $78,840 |
| Health Care and Social Assistance · Sector | 90 | $73,420 |
| Wholesale Trade · Sector | 60 | $155,160 |
| Direct Health and Medical Insurance Carriers · National industry | 40 | $49,660 |
| Engineering Services · National industry | — | $80,960 |
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 |
|---|---|---|
| Professional, Scientific, and Technical Services · Sector | 4.73× | 1,540 |
| Management of Companies and Enterprises · Sector | 3.3× | 280 |
| Temporary Help Services · National industry | 1.87× | 150 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 1.69× | 460 |
| Other Services (except Public Administration) · Sector | 0.75× | 100 |
| Educational Services · Sector | 0.68× | 280 |
| Finance and Insurance · Sector | 0.58× | 110 |
| Manufacturing · Sector | 0.49× | 190 |
Related occupations
Part of the Energy & Natural Resources , Financial Services , Healthcare & Human Services and Management & Entrepreneurship career clusters.
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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 Bioinformatics Technicians — 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 4 — Job Zone Four: Considerable Preparation Needed · preparation tier
- Biological and Biomedical Sciences · field of study
- Mathematics and Statistics · field of study
Zoom out
On the global GenAI exposure gradient this work sits around the 94th percentile of 427 international occupations.
Write a report on thisheadline · factoids · citation
Bioinformatics Technicians show 97th-percentile AI task overlap — and about 300 annual U.S. openings
- Bioinformatics Technicians rank in the 97th 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 300 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 (+4%) from 2024 to 2034.BLS Employment Projections 2024–34
- Median annual pay is $71,490, across about 4,660 U.S. workers.BLS OEWS (May 2024)
Copy the whole kit
Bioinformatics Technicians show 97th-percentile AI task overlap — and about 300 annual U.S. openings • Bioinformatics Technicians rank in the 97th 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 300 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 (+4%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $71,490, across about 4,660 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Bioinformatics Technicians". https://singulariki.com/roles/role-15-2099-01 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
- 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)
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Plain
Singulariki. "Bioinformatics Technicians." 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; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022. Accessed June 7, 2026. https://singulariki.com/roles/role-15-2099-01
APA
Singulariki. (2026). Bioinformatics Technicians. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-15-2099-01
BibTeX
@misc{singulariki-role-15-2099-01,
title = {Bioinformatics Technicians},
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; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-15-2099-01}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.