Biomedical Engineer

Job Summary

As a Biomedical Engineer at Talent Bridge, you will apply your expertise in biomedical engineering, medical devices, and biobehavioral science to advance AI-driven medical innovation. This remote contract role involves training AI systems, evaluating equipment performance, and collaborating with interdisciplinary teams. Your contributions will be crucial in shaping 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
• Medical Device Evaluation
• AI Training
• Biobehavioral Science
• Technical Writing
• Clinical Instrumentation
• Regulatory Submissions
• Data Interpretation
• Interdisciplinary Collaboration
• Machine Learning Datasets