R&D Engineer

Job Responsibilities

• Design and conduct appropriate experiments (benchtop and in vivo) to characterize the performance of medical technologies, which may include protocol and novel method development.
• Provide technical direction to advance medical device design including ideation, prototype development, and bench/in vivo evaluations.
• Conduct data and statistical analysis efforts of experimental results to generate conclusions to drive project directions.
• Communicate results effectively (oral and written) to key stakeholders of varying technical abilities.
• Understand customer needs through literature review, technology assessments, and ethnographic research.
• Collaborate with cross-functional team members to develop technology solutions that address prioritized unmet needs.

Education and Experience

• Required:
• Degree in engineering (biomedical, mechanical, etc.) or science discipline (chemistry, biology, etc.). Advanced degree preferred.
• Experience: PhD, MS + 2 years of relevant industry experience, or BS + 4 years of relevant industry experience is required.
• Experience in experimental design, data analysis, statistics, and technical writing.
• Experience working within a matrixed organization is preferred.

Knowledge and Skills

• Required:
• Ability to plan and conduct scientific experiments and effectively analyze, interpret, report, and present experimental results.
• Experience contributing to multidisciplinary teams including the ability to influence without direct reporting ties.
• Experience with in vivo animal models and medical device development.
• Ability to translate an issue or problem statement into study strategy.
• Ability to adapt quickly to changes in program and project priorities.
• Strong oral and written communication skills and team collaboration.

Preferred Skills

• Experience working under a quality system.
• Knowledge of drug delivery systems.
• Image processing and analysis.
• Programming (e.g., Python, Matlab) and/or graphical design (e.g., SolidWorks or other equivalent 3D modeling).
• Knowledge of statistics and use of statistical packages for analyzing datasets.