About The Position

This position serves as a shared engineering resource within the School of Health Professions. The responsibilities include instrumented laboratory environment support hardware and software engineering for specialized measurement equipment data analysis pipeline development (including AI/ML applications) device configuration and troubleshooting and systems documentation. The position also supports wearable sensor platforms, ambient monitoring devices, AI companion platforms, and planned Epic EHR integration for the Age-Tech program.

Requirements

  • Bachelor's or Master's degree in engineering (electrical, biomedical, mechanical, computer, or related field)
  • Experience with instrumentation, embedded systems, or research-grade hardware
  • Proficiency in software development and data analysis pipelines
  • Ability to support laboratory operations across multiple active research programs

Nice To Haves

  • PhD in engineering or a related field
  • Experience with AI/ML applications in a research context
  • Familiarity with wearable sensors, remote monitoring devices, or clinical research technology platforms
  • Prior work in an academic or clinical research environment supporting externally funded programs

Responsibilities

  • Instrumented laboratory environment support
  • Hardware and software engineering for specialized measurement equipment
  • Data analysis pipeline development (including AI/ML applications)
  • Device configuration and troubleshooting
  • Systems documentation
  • Support wearable sensor platforms
  • Support ambient monitoring devices
  • Support AI companion platforms
  • Support planned Epic EHR integration for the Age-Tech program
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