Analog Devices
Biosensor Algorithm Engineer
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About Analog Devices
Analog Devices, Inc. (ADI) (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that address challenges including climate change, human connectivity, automation, robotics, healthcare, energy, and data centers. With revenue exceeding $11 billion in FY25, ADI commits to helping innovators stay ahead of what’s possible.
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Algorithms Software Engineer – Biosensor Systems
Digital Healthcare | Analog Devices
The Digital Healthcare business group seeks an Algorithms Software Engineer to develop cutting-edge biosensor systems for diagnostic and therapeutic applications. These systems integrate electrochemical and optical sensors, microfluidics, measurement electronics, and software to deliver highly accurate and reliable biomarker measurements.
Core differentiators of these systems include signal processing, data analytics, and machine-learning-enabled algorithms.
Role Overview
The ideal candidate will take a hands-on, proactive role in developing core algorithms for a critical biosensor program. This involves:
- Collaborating closely with the algorithm lead, sensor design engineers, and software teams
- Developing, prototyping, and refining algorithms using real-world experimental data
- Solving complex sensing problems where solutions are not always immediately evident
This position is ideal for an engineer who thrives on in-depth algorithm development, enjoys problem-solving in ambiguous environments, and appreciates working with laboratory data.
Key Responsibilities
Algorithm Development & Data Analytics
- Own end-to-end algorithm development, from concept to prototyping and performance evaluation.
- Build Python-based algorithms for post-processing and analysing raw sensor data collected in lab settings.
- Use signal processing techniques to extract robust features from noisy real-world sensor signals.
- Explore and utilise machine learning methods to enhance accuracy, robustness, and reliability.
- Combine classical signal processing and data-driven approaches strategically.
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Sensor & System Collaboration
- Work closely with sensor design engineers and technical leads to understand sensor operation, physics, and data patterns.
- Provide data-driven insights to guide sensor and system optimisation.
- Develop automated analysis pipelines to evaluate sensor performance across large datasets.
Prototyping & Deployment Support
- Create Python prototypes suitable for real-time or near-real-time execution.
- Collaborate with the software team for algorithm integration and porting to embedded or production systems.
- Contribute to algorithm validation, test datasets, and performance benchmarking.
Required Qualifications
- BEng, MSc, or PhD in Electrical Engineering, Computer Science, Software Engineering, Physics, Mathematics, or a related field.
- Experience developing algorithms for sensor, measurement, or data-driven systems.
- Proficiency in Python with experience using:
- NumPy
- Pandas
- SciPy
- scikit-learn
- Strong grasp of signal processing techniques to optimise and clean raw sensor data.
- Familiarity with machine learning applied to time-series or sensor data (e.g., regression, classification, anomaly detection).
- Competency in:
- Software development (version control with Git, test methodologies).
- Independent ownership of technical tasks while maintaining focus on goals.
- Clear communication and teamwork.
- Willingness to understand the physics underpinning sensors.
- Hands-on experience with experimental or laboratory datasets.
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Desirable / Advantageous Experience
- Prior exposure to healthcare, medical, or biosensor data analytics.
- Experience in regulated industries (e.g., healthcare, automotive, aerospace).
- Combinatorial expertise in signal processing and machine learning within real-world systems.
- Embedded system familiarity or deployment support for algorithm porting.
- Structured skill in documenting algorithms or analysis results.
What We’re Looking For
This role needs an engineer who excels at tackling open-ended problems. The candidate must:
- Embrace patience and persistence, working under uncertainty and with imperfect measurements.
- Maintain a disciplined yet agile approach to algorithm refinement while refining ambiguous data signals.
- Demonstrate ownership and sustained focus to achieve benchmark performance and reliability targets.
Why Join ADI Digital Healthcare?
- Impact real-world healthcare outcomes through innovative biosensors.
- Build deeper technical expertise in algorithm development while collaborating across sensors, electronics, and software.
- Join a company that values technical leadership and fosters innovation.
Important Notices
- For access to technical data, export licensing approval may be required from US authorities, impacting applicants not from the US (citizenship/permanent residents) or protected groups under 8 U.S.C. 1324b(a)(3).
- Analog Devices encourages equal opportunity for all, including race, colour, religion, age, ancestry, national origin, social/ethnic origin, sex, gender expression/identity, pregnancy, marital status, parental status, disability, medical condition, genetic information, veteran/servicemember status, political affiliation, or any other legally protected attribute.
- Job Type: Experienced
- Travel Requirement: Yes (10% travel required)
- Work Shift: Days (1st Shift)
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