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

Qualifications :

Educational qualification:

B.E / in Biomedical Engineering / ECE / EEE

Experience :

1217 years embedded systems development preferably with medical or regulated devices.

• 510 years in:

  • Biomedical engineering / medical devices / sensing systems

• Experience in:

  • Sensor validation

  • Experimental/bench testing

• Exposure to cross-functional development (HW SW teams)

Mandatory/requires Skills :
Biomedical Core

• Strong understanding of:

  • Human physiology (any domain)

  • Physiological signal characteristics

• Experience in:

  • Biomedical instrumentation

  • Sensor-based measurement systems

Engineering Capability

• Sensor fundamentals (MEMS optical electrochemical basics)

• Signal acquisition concepts:

  • ADC sampling noise

• Basic fluid/biophysical modeling (nice to have)

Software & Data Awareness

• Programming:

  • Python / MATLAB for data analysis

• Signal processing:

  • Filtering calibration time-series analysis

• Basic understanding of:

  • Embedded systems (MCU interfaces)

  • Data flow (BLE/Wi-Fi pipelines)

Tools & Exposure

• Lab tools:

  • DAQ systems oscilloscopes sensors

• Software:

  • MATLAB / Python (NumPy Pandas)

• Exposure to:

  • Embedded platforms (preferred)

     

  • Data visualization tools

Preferred Skills :

Working knowledge of:

• ISO 13485

• ISO 14971

• Exposure to:

  • Verification & Validation

  • Design controls

Remote Work :

No

Employment Type :

Full-time