Roles & Responsibilities :
The Biomedical Systems Engineer is responsible for defining, developing, and validating physiological sensing solutions for connected medical devices, ensuring accurate translation of biological signals into reliable engineering outputs.
This role combines biomedical domain expertise with strong system, embedded, and data-oriented engineering capabilities, enabling development of scalable sensing solutions across a range of medical devices including diagnostic, therapeutic, and monitoring systems.
The engineer will work across the lifecycle from physiological understanding ? sensor integration ? signal processing ? system validation, ensuring clinical relevance and engineering robustness.
? Key Responsibilities
1. Physiological Understanding & Signal Definition (Core Biomedical Anchor)
Analyze physiological systems and identify clinically relevant measurable parameters
Define:
Pressure, flow, temperature
Bio-signals (optional: ECG, SpO?, etc.)
Map biological phenomena ? measurable electrical/physical signals
Ensure clinical validity of measured parameters
2. Sensor Selection & Biomedical Validation
Evaluate sensing technologies:
MEMS, optical, thermal, electrochemical
Define:
Measurement range, sensitivity, response time
Interaction with biological environments (fluids, tissues)
Assess:
Bio-compatibility considerations (early-stage)
Impact of biological variability on signals
3. Signal Acquisition & Engineering Interface
Work with electronics/embedded teams to define:
Sensor interface requirements (AFE, ADC, sampling)
Signal quality needs (noise, resolution)
Support:
Sensor integration into device architecture
Selection of acquisition strategies
4. Signal Processing & Data Interpretation
Develop and validate:
Filtering and smoothing techniques
Calibration and compensation models
Convert raw data into:
Clinically meaningful metrics
Derived indicators (trend, anomaly, thresholds)
Support implementation in:
Embedded firmware or application layer
5. System Integration & Data Flow Understanding
Define and validate end-to-end signal chain:
Sensor ? Embedded ? Connectivity ? Application
Work with:
Embedded engineers (data acquisition)
Mobile/cloud teams (data visualization & storage)
Contribute to:
Data formats (time-series, metadata)
Interface/API definitions (basic level)
6. Experimental Design & Biomedical Validation
Design and execute:
Bench experiments
Simulated physiological conditions
Define:
Test protocols
Acceptance criteria
Perform:
Correlation with reference methods
Repeatability and reliability analysis
7. Risk & Safety (Biomedical + System View)
Identify:
Physiological misinterpretation risks
Sensor failure modes
Contribute to:
Risk analysis (ISO 14971)
Clinical risk mitigation strategies
8. Platform Re-usability
Develop reusable frameworks for:
Physiological signal modeling
Sensor validation
Calibration approaches
Enable reuse across:
Patient monitoring systems
Wearables
Therapeutic devices
Diagnostic platforms