# Geneticists

> Research and study the inheritance of traits at the molecular, organism or population level. May evaluate or treat patients with genetic disorders.

- **SOC code:** 19-1029.03
- **Canonical URL:** https://singulariki.com/roles/role-19-1029-03
- **Also known as:** Cardiovascular Geneticist, Medical Geneticist, Research Scientist, Scientist, Academic Pediatric Geneticist, Behavioral Geneticist, Clinical Biochemical Geneticist, Clinical Cytogeneticist
- **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):
- Supervise or direct the work of other geneticists, biologists, technicians, or biometricians working on genetics research projects.
- Prepare results of experimental findings for presentation at professional conferences or in scientific journals.
- Plan or conduct basic genomic and biological research related to areas such as regulation of gene expression, protein interactions, metabolic networks, and nucleic acid or protein complexes.
- Write grants and papers or attend fundraising events to seek research funds.
- Search scientific literature to select and modify methods and procedures most appropriate for genetic research goals.
- Maintain laboratory notebooks that record research methods, procedures, and results.
- Review, approve, or interpret genetic laboratory results.
- Attend clinical and research conferences and read scientific literature to keep abreast of technological advances and current genetic research findings.
- Evaluate genetic data by performing appropriate mathematical or statistical calculations and analyses.
- Extract deoxyribonucleic acid (DNA) or perform diagnostic tests involving processes such as gel electrophoresis, Southern blot analysis, and polymerase chain reaction analysis.
- Analyze determinants responsible for specific inherited traits, and devise methods for altering traits or producing new traits.
- Evaluate, diagnose, or treat genetic diseases.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Biology _(knowledge)_
- Written Comprehension _(ability)_
- Written Expression _(ability)_
- English Language _(knowledge)_
- Reading Comprehension _(essential_skill)_
- Oral Comprehension _(ability)_
- Oral Expression _(ability)_
- Inductive Reasoning _(ability)_
- Science _(essential_skill)_
- Active Listening _(essential_skill)_
- Writing _(essential_skill)_
- Speaking _(essential_skill)_

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

**Tools & technology:**
- R _(hot technology, in demand)_
- C++ _(hot technology)_
- Git _(hot technology)_
- GitHub _(hot technology)_
- Linux _(hot technology)_
- Microsoft Access _(hot technology)_
- Microsoft Excel _(hot technology)_
- Microsoft Office software _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft Word _(hot technology)_
- Oracle Java _(hot technology)_
- Perl _(hot technology)_

## AI exposure & outlook

- **AI task-overlap index:** 74th 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):** 67th 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:** 24% automation, 53% augmentation (usage-weighted).
- **Autonomy median:** 4.0 (higher = AI acts more independently).
- **Dominant collaboration mode:** task iteration.

**Tasks most handed to AI here:**
- Prepare results of experimental findings for presentation at professional conferences or in scientific journals. _(2.4% of measured AI use; task iteration)_
- Evaluate genetic data by performing appropriate mathematical or statistical calculations and analyses. _(1.3% of measured AI use; learning)_
- Search scientific literature to select and modify methods and procedures most appropriate for genetic research goals. _(1.1% of measured AI use; learning)_
- Analyze determinants responsible for specific inherited traits, and devise methods for altering traits or producing new traits. _(0.7% of measured AI use; learning)_
- Review, approve, or interpret genetic laboratory results. _(0.6% of measured AI use; learning)_
- Create or use statistical models for the analysis of genetic data. _(0.6% of measured AI use; learning)_
- Plan or conduct basic genomic and biological research related to areas such as regulation of gene expression, protein interactions, metabolic networks, and nucleic acid or protein complexes. _(0.5% of measured AI use; learning)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me prepare results of experimental findings for presentation at professional conferences or in scientific journals.
- Help me evaluate genetic data by performing appropriate mathematical or statistical calculations and analyses.
- Help me search scientific literature to select and modify methods and procedures most appropriate for genetic research goals.
- Help me analyze determinants responsible for specific inherited traits, and devise methods for altering traits or producing new traits.
- Help me review, approve, or interpret genetic laboratory results.

## 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-19-1029-03_