# Medical Scientists, Except Epidemiologists

> Conduct research dealing with the understanding of human diseases and the improvement of human health. Engage in clinical investigation, research and development, or other related activities.

- **SOC code:** 19-1042.00
- **Canonical URL:** https://singulariki.com/roles/role-19-1042-00
- **Also known as:** Clinical Research Scientist, Research Scientist, Scientist, Study Director, Clinical Laboratory Scientist (Clinical Lab Scientist), Clinical Pharmacologist, Medical Researcher, Physician Scientist
- **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):
- Follow strict safety procedures when handling toxic materials to avoid contamination.
- Evaluate effects of drugs, gases, pesticides, parasites, and microorganisms at various levels.
- Plan and direct studies to investigate human or animal disease, preventive methods, and treatments for disease.
- Prepare and analyze organ, tissue, and cell samples to identify toxicity, bacteria, or microorganisms or to study cell structure.
- Standardize drug dosages, methods of immunization, and procedures for manufacture of drugs and medicinal compounds.
- Conduct research to develop methodologies, instrumentation, and procedures for medical application, analyzing data and presenting findings to the scientific audience and general public.
- Teach principles of medicine and medical and laboratory procedures to physicians, residents, students, and technicians.
- Study animal and human health and physiological processes.
- Write and publish articles in scientific journals.
- Write applications for research grants.
- Investigate cause, progress, life cycle, or mode of transmission of diseases or parasites.
- Use equipment such as atomic absorption spectrometers, electron microscopes, flow cytometers, or chromatography systems.

## Skills, tools, capabilities

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

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

**Tools & technology:**
- Microsoft Excel _(hot technology, in demand)_
- Microsoft Office software _(hot technology, in demand)_
- R _(hot technology, in demand)_
- Adobe Photoshop _(hot technology)_
- ESRI ArcGIS software _(hot technology)_
- IBM SPSS Statistics _(hot technology)_
- Linux _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft Project _(hot technology)_
- Microsoft Visual Basic _(hot technology)_
- Microsoft Word _(hot technology)_
- Python _(hot technology)_

## AI exposure & outlook

- **AI task-overlap index:** 75th percentile (High) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 85th percentile (High) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 73rd percentile (High) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 65th percentile (Moderate) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 3rd percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** yes — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 8.7% growth (Growing fast); 9.6k annual openings; 165.3k → 179.6k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $100,590; 156,300 employed.

## How people actually use AI here

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

- **Automation vs augmentation:** 12% automation, 68% augmentation (usage-weighted).
- **Autonomy median:** 3.5 (higher = AI acts more independently).
- **Dominant collaboration mode:** learning.

**Tasks most handed to AI here:**
- Teach principles of medicine and medical and laboratory procedures to physicians, residents, students, and technicians. _(1.0% of measured AI use; learning)_
- Evaluate effects of drugs, gases, pesticides, parasites, and microorganisms at various levels. _(0.4% of measured AI use; learning)_
- Write and publish articles in scientific journals. _(0.4% of measured AI use; task iteration)_
- Study animal and human health and physiological processes. _(0.3% of measured AI use; learning)_

**Example prompts (honest phrasings of the tasks above — starting points, not endorsed instructions):**
- Help me teach principles of medicine and medical and laboratory procedures to physicians, residents, students, and technicians.
- Help me evaluate effects of drugs, gases, pesticides, parasites, and microorganisms at various levels.
- Help me write and publish articles in scientific journals.
- Help me study animal and human health and physiological processes.

## 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-19-1042-00_