Biosensor Algorithm Engineer in Cambridge

About Analog Devices

Analog Devices, Inc. (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, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today’s innovators stay Ahead of What’s Possible.

The Digital Healthcare business group is seeking an Algorithms Software Engineer to support the development of next‑generation 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. Signal processing, data analytics, and machine‑learning‑enabled algorithms are core differentiators of these systems.

Role Overview

The successful candidate will take an active, hands‑on role in the development of core algorithms for a key biosensor program. Working closely with the algorithm lead, sensor design engineers, and software teams, they will develop, prototype, and refine algorithms using real experimental sensor data. This role is well suited to an engineer who enjoys focused, in‑depth algorithm development, working on complex sensing problems where solutions are not always known upfront.

Key Responsibilities

• Algorithm Development & Data Analytics
  • Take ownership of specific algorithm components, from concept through prototyping and performance evaluation.
  • Develop Python‑based algorithms for post‑processing and analyzing raw sensor data collected from laboratory experiments.
  • Apply signal processing techniques to extract robust features from noisy, real‑world sensor signals.
  • Explore and apply machine learning techniques to improve measurement accuracy, robustness, and reliability.
  • Combine classical signal processing and data‑driven approaches where appropriate.
• Sensor & System Collaboration
  • Work closely with sensor design engineers and technical leads to understand sensor operation, physics, and data interpretation.
  • Provide data‑driven insights from algorithm analysis to guide sensor and system design optimization.
  • Develop automated analysis pipelines to evaluate sensor performance across large experimental datasets.
• Prototyping & Deployment Support
  • Develop algorithm prototypes in Python suitable for real‑time or near‑real‑time execution.
  • Support the software team with algorithm integration and porting to embedded or production environments.
  • Contribute to algorithm verification, test datasets, and performance characterization.

Required Qualifications

• BEng, MSc, or PhD in Electrical Engineering, Computer Science, Software Engineering, Physics, Mathematics, or a related discipline.
• Experience developing algorithms for sensing, measurement, or data‑driven systems.
• Strong proficiency in Python for algorithm development and data analysis (e.g., NumPy, Pandas, SciPy, scikit‑learn).
• Solid understanding of signal processing techniques for transforming and optimizing raw sensor data.
• Working knowledge of machine learning techniques applied to time‑series or sensor data (e.g., regression, classification, anomaly detection).
• Strong software development skills, including version control (Git) and basic software test methodologies.
• Ability to work independently, take ownership of technical tasks, and maintain focus on algorithm development goals.
• Good communication and collaboration skills.
• Willingness to learn the physics underpinning sensor operation.
• Practical experience working with experimental or laboratory data.

Desirable / Advantageous Experience

• Experience applying data analytics or machine learning to medical or biosensor datasets.
• Exposure to algorithm development in regulated industries (e.g., healthcare, automotive, aerospace).
• Experience combining signal processing and machine learning in real‑world systems.
• Familiarity with embedded systems or supporting algorithm deployment to constrained platforms.
• Experience documenting algorithms and analysis results in a structured, traceable manner.

What We’re Looking For

We are looking for an engineer who enjoys working on open‑ended problems where the solution is not known upfront, and is comfortable iterating based on experimental data. The ideal candidate demonstrates patience and persistence when dealing with ambiguity, imperfect measurements, and noisy sensor signals, while maintaining a disciplined and focused approach to algorithm development. They are able to take ownership of algorithm development tasks and work on them in a dedicated manner over extended periods, iterating until performance and robustness targets are achieved.

Why Join ADI Digital Healthcare?

You will work on real biosensor products that directly impact patient care and clinical decision‑making. This role offers the opportunity to develop deep technical expertise in algorithm development while collaborating closely with multidisciplinary teams across sensors, electronics, and software.

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.