Biomedical Engineer

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.

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.