About AeroCardiaAeroCardia is a Montreal-based medical device startup developing a portable, multi-sensor cardiopulmonary monitoring system. Our mouthpiece form factor integrates spirometry, PPG, SpO₂, CO₂, and inertial measurement into a single wearable device with a companion mobile app and clinical analytics subscription.

We're pre-launch for a direct-to-consumer wellness offering (Jan–Mar 2027) and pursuing parallel regulatory pathways with Health Canada (Class II ITA) and the FDA (510(k)) for clinical RPM applications.

Why this matters: VO₂max estimation is the cornerstone of our launch and customer value proposition. You'll own the algorithms that convert raw sensor fusion data into validated, personalized cardiorespiratory insights.

The RoleYou are a full-stack data scientist / backend engineer who will own both algorithm development and the app backend that delivers VO₂max insights to users. This is a rare chance to ship an end-to-end feature—from raw sensor fusion to user-facing mobile app—in a high-stakes medtech environment.

Algorithm & Data Science (50% of time)

- VO₂max model ownership: Refine and validate existing VO₂max models using HR data, spirometry, and inertial motion patterns; reduce systematic error (current SEE ~1.3–1.5 ml/kg/min) and improve robustness across user populations
- Signal processing & feature engineering: Extract and optimize features from device sensor streams (DHF, PPG windowing, DFA-α1, VT detection via IMU-gait fusion)




- Validation & experimentation: Collaborate with our physiology team (Concordia testing lab) to design and interpret validation experiments; compare device output against reference standards
- Model training pipeline: Build reproducible training/evaluation workflows in Python (scikit-learn, PyTorch, or TensorFlow); manage datasets, cross-validation, hyperparameter tuning

Backend & App Integration (40% of time)
- Model deployment: Implement inference pipelines; package VO₂max models for iOS/Android (TensorFlow Lite, CoreML, ONNX, or similar)
- Backend API design: Build REST/GraphQL endpoints that serve VO₂max predictions to the app; handle device-to-cloud data sync, user authentication, and data persistence
- Real-time processing: Design data pipelines that consume raw sensor telemetry from devices and compute VO₂max estimates in near-real-time
- Scalability & performance: Optimize for latency, cost, and reliability as we scale from beta (5/day) to 20+/day during UCI Worlds to thousands of active users post-launch

Collaboration & Documentation (10% of time)
- Cross-functional work: Partner with iOS/Android developers (currently Matthew Pompeo), hardware/firmware (Emily Pike), and physiology/validation (Georgia Chen)
- SR&ED; compliance: Document R&D; progress via daily scrum notes for Canadian grant accounting
- Technical leadership: Mentor junior interns or co-op hires on ML/backend systems as the team grows

📌 Full Stack Engineer (Montreal)
🏢 AeroCardia
📍 Montreal