Biomedical Systems Engineer – Connected MedTech

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