Job Description
ESSENTIAL JOB FUNCTIONS:
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.
MINIMUM QUALIFICATIONS:
Bachelor's or Master's degree in engineering (electrical, biomedical, mechanical, computer, or related field) and experience with instrumentation, embedded systems, or research-grade hardware, proficiency in software development and data analysis pipelines, and ability to support laboratory operations across multiple active research programs.
PREFERRED QUALIFICATIONS:
- 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
SALARY:
Commensurate with experience.
EQUAL EMPLOYMENT OPPORTUNITY:
UTMB Health strives to provide equal opportunity employment without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, genetic information, disability, veteran status, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. As a Federal Contractor, UTMB Health takes affirmative action to hire and advance protected veterans and individuals with disabilities.