Smart auto-titrating oxygen concentrator with remote monitoring - ON-1205
Genre de projet: RechercheDiscipline(s) souhaitée(s): Génie -biomédical, Génie, Génie - informatique / électrique, Génie - mécanique
Entreprise: 15892031 Canada Inc. d.b.a. DoseHost
Durée du projet: Plus d’un an
Date souhaitée de début: Dès que possible
Langue exigée: Anglais
Emplacement(s): Vaughan, ON, Canada
Nombre de postes: 2
Niveau de scolarité désiré: Études de premier cycle/baccalauréatMaîtriseDoctorat
Ouvert aux candidatures de personnes inscrites à un établissement à l’extérieur du Canada: No
Au sujet de l’entreprise:
DoseHost Inc. (15892031 Canada Inc.) is a Canadian medtech startup focused on improving home oxygen therapy through connected medical devices. Founded by Baruh Pesacov, a respiratory therapist with 15+ years of clinical experience and prior ownership of a home oxygen business, the company brings a dual clinical-operator perspective to a market undergoing significant consolidation. DoseHost is developing the SmartOx, a smart stationary oxygen concentrator with integrated remote therapeutic monitoring. The company is pre-revenue, pursuing FDA 510(k) Class II clearance and Health Canada licensure, and targeting a pre-seed raise. The team includes consulting engineers in electronics and firmware, a QMS/regulatory specialist, and advisory relationships in concentrator architecture and healthcare compliance. DoseHost is based in Vaughan, Ontario.
Veuillez décrire le projet.:
DoseHost is seeking two interns to support the development of its smart oxygen concentrator, a medical device that automatically adjusts oxygen flow based on real-time patient activity data captured by an embedded accelerometer in a proprietary smart nasal cannula. Position 1 — Signal Processing Researcher: The primary research challenge is developing algorithms that reliably classify patient activity states (resting, walking, exertion) from raw 6-axis accelerometer data, and translate those classifications into flow adjustment triggers for the device’s closed-loop control system. This role involves signal filtering, feature extraction, activity state classification, and algorithm validation against simulated patient activity profiles. The work will produce validated signal processing algorithms ready for integration into the device’s embedded firmware. This position is suited to a Master’s or PhD student in biomedical or electrical engineering with signal processing expertise. Position 2 — QMS and Design Control Coordinator: DoseHost is building a quality management system aligned with ISO 13485 and MDSAP requirements. This role involves maintaining the design history file, organizing design control documentation as the engineering team produces it, managing traceability matrices, and supporting the engineering team with verification and validation test documentation. This position is suited to a recent biomedical engineering graduate or Master’s student with knowledge of medical device regulatory standards. Both roles advance DoseHost toward regulatory submission and address a critical unmet need in home oxygen therapy.
Expertise ou compétences exigées:
Position 1 — Signal Processing: Digital signal processing (filtering, FFT, wavelet analysis), machine learning for time-series classification, experience with inertial measurement unit (IMU) / accelerometer data, MATLAB or Python for algorithm prototyping, familiarity with embedded C/C++ for eventual firmware integration. Experience with human activity recognition or wearable sensor data is a strong asset. Position 2 — QMS and Design Control: Understanding of ISO 13485 quality management system requirements and medical device design controls. Ability to organize and maintain a design history file, traceability matrices, and design verification/validation records. Strong documentation and technical writing skills. Familiarity with IEC 62304 (software lifecycle) and FDA 510(k) submission requirements is an asset. Experience with document control systems is preferred. Both positions require the ability to work independently in a startup environment with a small, distributed team.
