Signal Processing

Company: Respirit Healthcare Pvt Ltd
Location: Guwahati / Hybrid
Type: Full-Time
Experience: 1-3 years (Freshers with strong skills encouraged to apply)
Domain: Biomedical Signal Processing, Respiratory Health, Digital Health Devices

**About Us**:
At _**Respirit Healthcare**_, we are building India’s first smart, connected respiratory diagnostic platform - combining medical-grade sensors with AI-powered lung health algorithms. Our product includes a portable spirometry device connected to a mobile app to screen and monitor asthma, COPD, and other lung conditions — especially in underserved areas.

At Respirit, your work can impact thousands of lives by making respiratory diagnostics affordable and accessible in India’s underserved communities.

**What You’ll Do**:
As our Signal Processing / Data Scientist, you'll lead the development of algorithms that convert real-time turbine sensor data into clinically validated spirometry values (FEV1, FVC, PEF, etc.).
- Design and implement numerical algorithms for volume integration from airflow data
- Clean, filter, and denoise time-series signals (e.g., Butterworth filters, Savitzky-Golay, etc.)
- Develop methods for calculating spirometric indices per ATS/ERS guidelines
- Validate algorithm output with reference spirometer data
- Collaborate with embedded engineers and pulmonologists
- Create diagnostic visualizations (flow-volume and volume-time curves)

**Tech Skills We're Looking For**:

- Strong foundation in Python, NumPy, SciPy, Matplotlib
- Experience with digital signal processing, curve fitting, time-series analysis
- Familiarity with biomedical data (spirometry) is a bonus.
- MATLAB, TensorFlow/PyTorch (if you're into ML), experience in clinical data validation (Optional)

**What We Offer**:

- Chance to work on a first-of-its-kind Indian respiratory device
- Direct mentorship from clinical and tech founders
- Flexible work environment (Guwahati-based hybrid preferred)

**Benefits**:

- Flexible schedule
- Paid sick time
- Paid time off

Schedule:

- Day shift
- Weekend availability

Work Location: In person

Expected Start Date: 01/05/2025