# Bioinformatics Scientists

> Conduct research using bioinformatics theory and methods in areas such as pharmaceuticals, medical technology, biotechnology, computational biology, proteomics, computer information science, biology and medical informatics. May design databases and develop algorithms for processing and analyzing genomic information, or other biological information.

- **SOC code:** 19-1029.01
- **Canonical URL:** https://singulariki.com/roles/role-19-1029-01
- **Also known as:** Bioinformaticist, Bioinformatics Scientist, Research Scientist, Scientist, Research Associate, Scientific Database Curator, Bioinformatician, Bioinformatics Analyst
- **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):
- Develop new software applications or customize existing applications to meet specific scientific project needs.
- Communicate research results through conference presentations, scientific publications, or project reports.
- Create novel computational approaches and analytical tools as required by research goals.
- Consult with researchers to analyze problems, recommend technology-based solutions, or determine computational strategies.
- Analyze large molecular datasets, such as raw microarray data, genomic sequence data, or proteomics data, for clinical or basic research purposes.
- Keep abreast of new biochemistries, instrumentation, or software by reading scientific literature and attending professional conferences.
- Develop data models and databases.
- Compile data for use in activities, such as gene expression profiling, genome annotation, or structural bioinformatics.
- Design and apply bioinformatics algorithms including unsupervised and supervised machine learning, dynamic programming, or graphic algorithms.
- Manipulate publicly accessible, commercial, or proprietary genomic, proteomic, or post-genomic databases.
- Direct the work of technicians and information technology staff applying bioinformatics tools or applications in areas such as proteomics, transcriptomics, metabolomics, or clinical bioinformatics.
- Provide statistical and computational tools for biologically based activities, such as genetic analysis, measurement of gene expression, or gene function determination.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Biology _(knowledge)_
- Computers and Electronics _(knowledge)_
- Mathematics _(knowledge)_
- Written Comprehension _(ability)_
- Written Expression _(ability)_
- English Language _(knowledge)_
- Reading Comprehension _(essential_skill)_
- Critical Thinking _(essential_skill)_
- Oral Comprehension _(ability)_
- Active Listening _(essential_skill)_
- Speaking _(essential_skill)_
- Complex Problem Solving _(transferable_skill)_

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

**Tools & technology:**
- Amazon Web Services AWS software _(hot technology, in demand)_
- Bash _(hot technology, in demand)_
- C _(hot technology, in demand)_
- C++ _(hot technology, in demand)_
- Docker _(hot technology, in demand)_
- Git _(hot technology, in demand)_
- GitHub _(hot technology, in demand)_
- Linux _(hot technology, in demand)_
- Oracle Java _(hot technology, in demand)_
- Perl _(hot technology, in demand)_
- Python _(hot technology, in demand)_
- R _(hot technology, in demand)_

## AI exposure & outlook

- **AI task-overlap index:** 87th percentile (High) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 74th percentile (High) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 95th percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 77th percentile (High) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 11th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** yes — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 1.2% growth (About average); 4.8k annual openings; 63.7k → 64.5k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $93,330; 59,710 employed.

## How people actually use AI here

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

- **Automation vs augmentation:** 49% automation, 45% augmentation (usage-weighted).
- **Autonomy median:** 4.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** directive.

**Tasks most handed to AI here:**
- Develop new software applications or customize existing applications to meet specific scientific project needs. _(31.2% of measured AI use; directive)_
- Analyze large molecular datasets such as raw microarray data, genomic sequence data, and proteomics data for clinical or basic research purposes. _(3.8% of measured AI use; feedback loop)_
- Instruct others in the selection and use of bioinformatics tools. _(2.6% of measured AI use; learning)_
- Provide statistical and computational tools for biologically based activities such as genetic analysis, measurement of gene expression, and gene function determination. _(1.7% of measured AI use; directive)_
- Develop data models and databases. _(1.4% of measured AI use; directive)_
- Consult with researchers to analyze problems, recommend technology-based solutions, or determine computational strategies. _(1.4% of measured AI use; learning)_
- Communicate research results through conference presentations, scientific publications, or project reports. _(1.3% of measured AI use; learning)_
- Design and apply bioinformatics algorithms including unsupervised and supervised machine learning, dynamic programming, or graphic algorithms. _(0.7% of measured AI use; task iteration)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me develop new software applications or customize existing applications to meet specific scientific project needs.
- Help me analyze large molecular datasets such as raw microarray data, genomic sequence data, and proteomics data for clinical or basic research purposes.
- Help me instruct others in the selection and use of bioinformatics tools.
- Help me provide statistical and computational tools for biologically based activities such as genetic analysis, measurement of gene expression, and gene function determination.
- Help me develop data models and databases.

## 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-19-1029-01_