# Bioinformatics Technicians

> 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.

- **SOC code:** 15-2099.01
- **Canonical URL:** https://singulariki.com/roles/role-15-2099-01
- **Also known as:** Bioinformatics Analyst, Bioinformatics Specialist, Biotechnician, Scientific Informatics Analyst, Bioinformatics Technician, Museum Informatics Specialist, Research Scientist, Bioinformatics Research Technician
- **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):
- Analyze or manipulate bioinformatics data using software packages, statistical applications, or data mining techniques.
- Develop or apply data mining and machine learning algorithms.
- Extend existing software programs, web-based interactive tools, or database queries as sequence management and analysis needs evolve.
- Maintain awareness of new and emerging computational methods and technologies.
- Design or implement web-based tools for querying large-scale biological databases.
- Conduct quality analyses of data inputs and resulting analyses or predictions.
- Enter or retrieve information from structural databases, protein sequence motif databases, mutation databases, genomic databases or gene expression databases.
- Develop or maintain applications that process biologically based data into searchable databases for purposes of analysis, calculation, or presentation.
- Confer with researchers, clinicians, or information technology staff to determine data needs and programming requirements and to provide assistance with database-related research activities.
- Participate in the preparation of reports or scientific publications.
- Monitor database performance and perform any necessary maintenance, upgrades, or repairs.
- Confer with database users about project timelines and changes.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Computers and Electronics _(knowledge)_
- Mathematics _(knowledge)_
- Written Comprehension _(ability)_
- English Language _(knowledge)_
- Biology _(knowledge)_
- Reading Comprehension _(essential_skill)_
- Oral Comprehension _(ability)_
- Deductive Reasoning _(ability)_
- Inductive Reasoning _(ability)_
- Written Expression _(ability)_
- Information Ordering _(ability)_
- Mathematical Reasoning _(ability)_

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

**Tools & technology:**
- Apache Subversion SVN _(hot technology)_
- C _(hot technology)_
- C++ _(hot technology)_
- Git _(hot technology)_
- Hypertext markup language HTML _(hot technology)_
- IBM SPSS Statistics _(hot technology)_
- Jenkins CI _(hot technology)_
- Linux _(hot technology)_
- Microsoft Access _(hot technology)_
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- Microsoft Outlook _(hot technology)_

## AI exposure & outlook

- **AI task-overlap index:** 97th percentile (High) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **LLM task exposure, γ (OpenAI / Eloundou):** 89th percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 96th percentile (High) — source: microsoft_applicability.
- **Projected employment (BLS 2024–34):** 4.0% growth (About average); 0.3k annual openings; 5k → 5.2k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $71,490; 4,660 employed.

## 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

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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-15-2099-01_