Biomedical Engineer
SME Careers
Job description
About the role
We are seeking a Biomedical Engineer who thrives on technical precision, applied problem‑solving, and rigorous engineering reasoning in health and life‑science contexts. You will directly contribute to improving next‑generation AI systems that understand and communicate complex biomedical engineering concepts.
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, ensuring correct unit handling and interpretation of constraints.
- Provide structured feedback identifying factual errors, unsafe recommendations, unsupported clinical claims, missing assumptions, invalid simplifications, misuse of standards, or incomplete reasoning.
- Help shape AI communication standards for biomedical content, emphasizing assumptions, risk, limitations, experimental verification, and escalation to clinical/regulatory experts.
Required profile
- 4+ years of professional biomedical engineering experience with hands‑on work in areas such as medical devices, biomechanics, biomaterials, tissue engineering, bioinstrumentation, imaging systems, signals & systems, rehabilitation, clinical engineering, quality/regulatory, or manufacturing/validation.
- Deep knowledge of biomedical engineering fundamentals (physiology for engineers, transport phenomena, biomechanics, materials behavior, biosignals, sensor/measurement systems, systems modeling).
- Strong comfort with technical assumptions, constraints, unit consistency, and defensible reasoning, including safety considerations.
- Bachelor’s degree in Biomedical Engineering (or related); Master’s/PhD preferred.
Required skills
- Familiarity with ISO 13485, IEC 60601, ISO 14971, FDA design controls (21 CFR 820), verification & validation, risk management, and ISO 10993 biocompatibility concepts.
- Experience with AI data training, annotation, red‑teaming, or evaluating AI‑generated technical content is a strong plus.
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