Sr Manager Research Scientist – Healthcare Algorithms

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™. Learn more at www.analog.com and on LinkedIn and Twitter (X).

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™. Learn more at www.analog.com and on LinkedIn and Twitter (X).

The Analog Garage: Located in the heart of downtown Boston, the Analog Garage is ADI’s Research and Advanced Development Center, empowering the company by pioneering breakthrough technologies. The Algorithmic Solutions Group within the Analog Garage researches and develops cutting-edge, efficient algorithms to convert data into intelligence that addresses society’s most pressing challenges. The team’s expertise spans fields such as signal processing, machine learning, artificial intelligence, computer vision, computational linguistics, communication systems, and other areas of electrical engineering and computer science, creating solutions with real-world impact.

Transform Healthcare with Innovative Integrated Solutions: The Algorithmic Solutions Group is seeking a highly motivated Senior Manager to advance healthcare solutions with cutting-edge algorithms. The ideal candidate combines deep understanding of human physiology with practical experience using biomedical data to inform product direction, drive algorithm development, and support rigorous, real-world validation of healthcare solutions.

What You’ll Do:

• Proactively identify and validate high-impact opportunities in healthcare where ADI’s sensing, signal processing, and edge AI capabilities can drive innovation and improve patient outcomes.
• Engage directly with industry partners and healthcare stakeholders to ensure solutions address real-world needs.
• Product development mindset—balancing bold innovation with usability, technical feasibility, and awareness of market and regulatory realities.
• Lead the conceptualization, design, and implementation of advanced algorithms for analyzing complex human physiological and biomedical data, ensuring both clinical relevance and technical excellence.
• Work closely with cross-functional teams to design experiments and collect novel biosensing datasets.
• Lead rapid prototyping and proof-of-concept validation to translate those insights into real-world healthcare solutions.
• Mentor and lead a multidisciplinary team of researchers and engineers, fostering a culture of ownership, innovation, and user-centered design.
• Stay up to date with advances in algorithms, AI, and biomedical technologies, and identify emerging opportunities for ADI to drive innovation in healthcare.

What You’ll Bring:

• Ph.D. in Biomedical Engineering, Electrical Engineering, Computer Science, or related areas.
• 7+ years of applied research/industry experience translating biomedical algorithms into products or clinical pilots; startup/0-to-1 product experience strongly preferred.
• History of increasing managerial responsibilities, guiding researchers and engineers from diverse backgrounds, and influencing product strategy.
• Demonstrated ability to create mathematical models based on human physiology and connect them to sensor data to help design features and algorithms.
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