Biomedical Engineer
New
X
Xperteez TechnologyBiomedical engineering
Australia, Bangladesh, Bhutan, Brazil, Cambodia, Canada, Germany, India, Indonesia, Malaysia, Nepal, New Zealand, Philippines, Singapore, Sri Lanka, Thailand, Timor-Leste, United Kingdom, United States, VietnamContractMiddle
Salary100 USD per year
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Job Details
- Experience
- 4+ years of professional biomedical engineering experience
- Required Skills
- Risk Management
Requirements
- Have 4+ years of professional biomedical engineering experience.
- Have significant hands-on experience in one or more relevant areas, such as medical devices, biomechanics, biomaterials, tissue engineering, bioinstrumentation, imaging systems, physiologic signals and systems, rehabilitation engineering, clinical engineering, quality and regulatory, or manufacturing and validation.
- Hold a bachelor’s degree in Biomedical Engineering or a closely related field.
- Bring deep knowledge of biomedical engineering fundamentals relevant to your specialty, such as physiology for engineers, biological transport phenomena, biomechanics, materials behavior in biological environments, biosignals, sensor and measurement systems, or systems modeling.
- Apply technical assumptions, constraints, unit consistency, and defensible reasoning, including consideration of limitations, uncertainty, and safety.
- AI data training, annotation, red-teaming, or evaluation of AI-generated technical content is a plus.
- Familiarity with ISO 13485, IEC 60601, ISO 14971, FDA design controls (21 CFR 820), verification and validation, risk management, ISO 10993 biocompatibility concepts, or clinical workflow constraints is a plus.
- A master’s or PhD, or advanced credentials, is strongly preferred.
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 or analysis reasoning tasks.
- Review and refine AI-generated prompts, model responses, explanations, and step-by-step solutions, including 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.
- Assess model performance in biomechanics, bioinstrumentation and sensors, biomedical signals, medical device design, biomaterials, imaging and measurement, and verification, validation, and risk.
- Help shape AI communication standards for biomedical content, including how models explain assumptions, risks, limitations, experimental verification, and escalation to clinical or regulatory experts.
- Ensure AI-generated content reflects responsible biomedical engineering practice, especially regarding patient safety, clinical claims, and regulatory-sensitive topics.
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