Analog Devices (ADI) is seeking a Senior Manager to advance healthcare solutions with cutting-edge algorithms, leveraging their expertise in sensing, signal processing, and edge AI to improve patient outcomes and address society's most pressing healthcare challenges.
Requirements
- 7+ years of applied research/industry experience translating biomedical algorithms into products or clinical pilots; startup/0-to-1 product experience strongly preferred.
- Demonstrated ability to create mathematical models based on human physiology and connect them to sensor data to help design features and algorithms.
- Preferred experience in developing solutions for proactive and personalized healthcare applications, particularly in areas such as cardiovascular health, neurology, women’s health, oncology, or chronic disease management.
- Preferred experience collaborating with hospitals/health systems.
- Expertise in signal processing, machine learning, artificial intelligence, computer vision, computational linguistics, communication systems, and other areas of electrical engineering and computer science.
- Experience with biomedical data analysis.
- Experience with algorithm development.
Responsibilities
- 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.
- 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.
- Stay up to date with advances in algorithms, AI, and biomedical technologies, and identify emerging opportunities for ADI to drive innovation in healthcare.
- Create mathematical models based on human physiology and connect them to sensor data to help design features and algorithms.
- Develop solutions for proactive and personalized healthcare applications, particularly in areas such as cardiovascular health, neurology, women’s health, oncology, or chronic disease management.
Other
- Ph.D. in Biomedical Engineering, Electrical Engineering, Computer Science, or related areas.
- History of increasing managerial responsibilities, guiding researchers and engineers from diverse backgrounds, and influencing product strategy.
- Familiarity with regulatory processes and standards, including the ability to navigate evolving compliance requirements in healthcare.
- Excellent communication skills, with the ability to engage stakeholders across technical and non-technical domains.
- Ability to thrive in ambiguity and drive projects forward with intellectual curiosity and a bias for action.
