Biomedical Engineer
SME Careers
Biomedical Engineering AI Evaluation Specialist
Your profile:
- 4+ years of professional biomedical engineering experience, with significant hands-on work in one or more areas such as medical devices, biomechanics, biomaterials, tissue engineering, bioinstrumentation, imaging systems, signals & systems (physiologic), rehabilitation engineering, clinical engineering, quality/regulatory, manufacturing/validation, or a closely related specialty.
- Deep knowledge of biomedical engineering fundamentals, such as physiology for engineers, transport phenomena in biological systems, biomechanics, materials behavior in biological environments, biosignals, sensor/measurement systems, and systems modeling (depending on specialty).
- Strong comfort with technical assumptions, constraints, unit consistency, and defensible reasoning (including limitations, uncertainty, and safety considerations).
- Bachelor's degree in Biomedical Engineering (or closely related) required; Master's/PhD or advanced credentials strongly preferred.
- Experience with AI data training, annotation, red-teaming, or evaluating AI-generated technical content is a strong plus.
- Familiarity with any of the following is a plus (not required): ISO 13485, IEC 60601, ISO 14971, FDA design controls (21 CFR 820), verification & validation, risk management, biocompatibility concepts (ISO 10993), or clinical workflow constraints.
Key responsibilities:
- Evaluate AI-generated responses for technical accuracy, logical soundness, completeness, and clarity across biomedical engineering topics.
- Challenge advanced language models with realistic biomedical engineering scenarios, calculations, and design/analysis reasoning tasks.
- Review and refine AI-generated prompts, model responses, explanations, and step-by-step solutions (including unit handling and correct interpretation of constraints).
- Provide structured feedback that identifies factual errors, unsafe recommendations, unsupported clinical claims, missing assumptions, invalid simplifications, misuse of standards, or incomplete reasoning.
- Assess model performance on topics such as: Biomechanics, Bioinstrumentation & sensors, Biomedical signals, Medical device design, Biomaterials, Imaging & measurement, Verification/validation & risk
- Help shape AI communication standards for biomedical content, including how models explain assumptions, risk/limitations, what must be verified experimentally, and when to escalate to clinical/regulatory experts.
- Ensure AI-generated content reflects responsible biomedical engineering practice—especially around patient safety, clinical claims, and regulatory-sensitive topics.
Skills & technologies:
No specific skills listed for this role.
Vacancy posted 4 days ago
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