# Medical Equipment Repairers

> Test, adjust, or repair biomedical or electromedical equipment.

- **SOC code:** 49-9062.00
- **Canonical URL:** https://singulariki.com/roles/role-49-9062-00
- **Also known as:** Biomedical Electronics Technician (Biomed Electronics Tech), Biomedical Equipment Technician (BMET), Biomedical Technician (Biomed Tech), Service Technician (Service Tech), Biomedical Engineering Technician (Biomed Engineering Tech), Dental Equipment Technician (Dental Equipment Tech), Durable Medical Equipment Technician (DME Tech), Medical Equipment Service Tech (Medical Equipment Service 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):
- Test or calibrate components or equipment, following manufacturers' manuals and troubleshooting techniques, using hand tools, power tools, or measuring devices.
- Inspect, test, or troubleshoot malfunctioning medical or related equipment, following manufacturers' specifications and using test and analysis instruments.
- Perform preventive maintenance or service, such as cleaning, lubricating, or adjusting equipment.
- Keep records of maintenance, repair, and required updates of equipment.
- Disassemble malfunctioning equipment and remove, repair, or replace defective parts, such as motors, clutches, or transformers.
- Examine medical equipment or facility's structural environment and check for proper use of equipment to protect patients and staff from electrical or mechanical hazards and to ensure compliance with safety regulations.
- Install medical equipment.
- Test, evaluate, and classify excess or in-use medical equipment and determine serviceability, condition, and disposition, in accordance with regulations.
- Plan and carry out work assignments, using blueprints, schematic drawings, technical manuals, wiring diagrams, or liquid or air flow sheets, following prescribed regulations, directives, or other instructions as required.
- Study technical manuals or attend training sessions provided by equipment manufacturers to maintain current knowledge.
- Explain or demonstrate correct operation or preventive maintenance of medical equipment to personnel.
- Research catalogs or repair part lists to locate sources for repair parts, requisitioning parts and recording their receipt.

## Skills, tools, capabilities

**Knowledge, skills & abilities** (O*NET, highest importance first):
- Repairing _(transferable_skill)_
- Mechanical _(knowledge)_
- Equipment Maintenance _(transferable_skill)_
- Computers and Electronics _(knowledge)_
- Troubleshooting _(transferable_skill)_
- Customer and Personal Service _(knowledge)_
- Problem Sensitivity _(ability)_
- Near Vision _(ability)_
- Finger Dexterity _(ability)_
- English Language _(knowledge)_
- Operations Monitoring _(transferable_skill)_
- Engineering and Technology _(knowledge)_

**Skills in demand:**
- Equipment Maintenance _(Specialized Skill)_
- Finger Dexterity _(Common Skill)_
- English Language _(Common Skill)_
- Deductive Reasoning _(Common Skill)_
- Visualization _(Specialized Skill)_
- Information Ordering _(Specialized Skill)_
- Inductive Reasoning _(Common Skill)_
- Reading Comprehension _(Common Skill)_
- Critical Thinking _(Common Skill)_
- Mathematics _(Common Skill)_
- Time Management _(Common Skill)_
- Systems Analysis _(Specialized Skill)_

**Tools & technology:**
- Microsoft Office software _(hot technology, in demand)_
- Microsoft Excel _(hot technology)_
- Microsoft Outlook _(hot technology)_
- Microsoft PowerPoint _(hot technology)_
- Microsoft Word _(hot technology)_
- Salesforce software _(hot technology)_
- SAP software _(hot technology)_
- Inventory control system software _(in demand)_
- Computerized maintenance management system CMMS
- FaceTime
- Medical equipment diagnostic software
- Web browser software

## AI exposure & outlook

- **AI task-overlap index:** 44th percentile (Moderate) across all occupations — composite of current-era exposure studies (ai-exposure-index-v1).
- **Overall AI exposure (Felten et al.):** 41st percentile (Moderate) — source: felten_aioe.
- **LLM task exposure, γ (OpenAI / Eloundou):** 41st percentile (Moderate) — source: eloundou_gamma.
- **AI assistant applicability (Microsoft):** 52nd percentile (Moderate) — source: microsoft_applicability.
- **Frey–Osborne (2013, historical computerization estimate):** 38th percentile — kept separate from current-era studies.
- **Remote-capable (Dingel–Neiman):** no — task structure, not who actually works remote.
- **Projected employment (BLS 2024–34):** 12.9% growth (Growing fast); 7.3k annual openings; 68k → 76.8k jobs.
- **Pay & employment (BLS OEWS, May 2024):** median $62,630; 60,830 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
- **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-49-9062-00_