Role Overview
We are building an Ambient Healthspan Intelligence Platform for senior citizens, combining passive sensing technologies, clinical health data, and analytics to measure and improve healthy ageing. This is an opportunity to work on a real-world healthcare analytics pilot involving IoT, AI, data engineering, and applied statistics.
Responsibilities
- Test motion sensors and contactless monitoring devices to understand ambient sensing behavior.
- Validate sensor outputs under different environmental conditions and identify anomalies.
- Document edge cases, operational limitations, and verify device placement/calibration.
- Assist in pilot deployments across resident homes.
- Design and execute structured testing scenarios for system robustness, including handling missing data, device disconnects, and timestamp mismatches.
- Perform long-term stability testing and validate data integrity.
Requirements
- Curious and analytical mindset with a passion for solving real-world problems.
- Detail-oriented and comfortable with ambiguity.
- Strong documentation and debugging skills.
- Ability to work independently and experiment with new technologies.
- Interest in healthcare technology and healthspan research.
Skills
- Python
- Pandas
- SQL
- Git
- Statistics
What You'll Learn
- Healthcare Analytics and Ambient Intelligence
- IoT Platforms and Data Engineering
- API Development and Statistical Modelling
- Real-world AI Applications and Product Development