Position: Healthcare Data Engineering & Analytics Intern (IoT + AI + HealthTech)
Duration: 8–10 Weeks (1–2 Months)
Location: Remote / Hybrid (Bangalore Preferred)
Engagement: Full-Time Internship
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.
What You'll Work On & Key Responsibilities: You will work directly with the project lead and engineering team to help build and validate a real-world healthcare analytics platform. The internship is highly hands-on and will involve engineering, testing, analytics, and documentation.
Device Validation & Testing: Understand how ambient sensing devices behave in realworld environments. Responsibilities include:
● Test motion sensors and contactless monitoring devices.
● Validate sensor outputs under different environmental conditions.
● Understand expected device behaviour and identify anomalies.
● Document edge cases and operational limitations.
● Verify device placement and calibration.
● Assist in pilot deployments across resident homes.
System Testing & Boundary Conditions: Design and execute structured testing scenarios to validate platform robustness. Examples include:
● Missing sensor data & Device disconnects
● Duplicate records & Timestamp mismatches
● Resident mapping errors & Delayed data arrival
● Partial uploads and Long-term stability testing
Technical Skills
● Python: Pandas, NumPy
● SQL
● Git
● Basic Statistics
What You'll Learn During the internship you will gain practical experience in:
● Healthcare Analytics
● Ambient Intelligence
● IoT Platforms
● Data Engineering
● API Development
● Statistical Modelling
● Pilot Deployments
● Real-world AI Applications
● Product Development in Healthcare
● Healthspan Research
Desired Personal Qualities We are looking for someone who is:
● Curious and analytical
● Detail-oriented
● Comfortable with ambiguity
● Passionate about solving real-world problems
● Willing to experiment and learn
● Strong at documentation
● Comfortable debugging complex systems
● Able to work independently
● Excited about healthcare technology We value curiosity and problem-solving ability more than prior healthcare experience.