Biomedical Engineer

Job Summary

We are seeking a skilled Biomedical Engineer to join our customer’s team and contribute to AI-driven medical innovation. In this remote role, you will apply your expertise in biomedical engineering, medical devices, and biobehavioral science to train AI systems, evaluate equipment performance, and collaborate with interdisciplinary teams. Your insights will help shape safe, effective, and cutting-edge healthcare technologies.

Key Responsibilities

• Evaluate biomedical equipment for safety, efficiency, and performance, ensuring compliance with industry standards.
• Design and develop medical diagnostic tools, clinical instrumentation, and innovative procedures using engineering and biobehavioral science principles.
• Collaborate with life scientists, chemists, and medical researchers to advance biomedical engineering applications in humans and animals.
• Prepare technical reports, data summaries, scientific manuscripts, regulatory submissions, and patent documentation.
• Provide subject-matter expertise to train and enhance AI models in biomedical engineering and related domains.
• Interpret complex biomedical datasets to inform AI improvements and healthcare solutions.
• Communicate findings clearly in written and verbal formats to technical and non-technical stakeholders.

Required Skills and Qualifications

• Bachelor’s or Master’s degree in Bioengineering, Biomedical Engineering, or a closely related field.
• Proven experience evaluating biomedical equipment for safety, efficiency, and effectiveness.
• Demonstrated expertise in designing or developing medical diagnostic and clinical instruments.
• Strong technical writing skills for reports, publications, and regulatory documentation.
• Excellent written and verbal communication skills with high attention to detail.
• Experience collaborating in interdisciplinary scientific and engineering teams.
• Understanding of AI principles or strong interest in AI-based medical technology.

Preferred Qualifications

• Experience training AI systems or developing datasets for machine learning in biomedical contexts.
• PhD or advanced degree in a relevant biomedical field.
• Previous contributions to regulatory submissions, patents, or medical device innovation.

Key skills/competency

• Biomedical Engineering
• AI Systems
• Medical Devices
• Biobehavioral Science
• Equipment Evaluation
• Diagnostic Tools
• Technical Writing
• Interdisciplinary Collaboration
• Data Interpretation
• Regulatory Submissions