Biosensor Algorithm Engineer in Cambridge

About Analog Devices: Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader focused on bridging the physical and digital worlds to enable breakthroughs at the Intelligent Edge.

Role Overview: 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. This role involves developing core algorithms that process electrochemical and optical sensor data, applying signal processing, data analytics, and machine‑learning techniques.

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 (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 (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 Experience

• Experience applying data analytics or machine learning to medical or biosensor datasets.
• Exposure to algorithm development in regulated industries (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.

Additional Information

• Job Req Type: Experienced
• Required Travel: Yes, 10% of the time
• Shift Type: 1st Shift/Days

Legal & Export Compliance: 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. Applicants for this position – except U.S. Citizens, U.S. 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.

Equal Opportunity Statement: Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, 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.