ZOLL Cardiac Management Solutions is dedicated to improving patient outcomes through innovative technologies in the medical field. The Advisory Researcher for Predictive Algorithms will apply signal processing and machine learning techniques to develop algorithms aimed at enhancing the understanding of ECG and other medical data, ultimately improving patient outcomes.
Responsibilities:
- Conduct applied research on predictive signal analysis algorithms to improve outcomes for cardiac detect / predict patient conditions
- Collaborate with teams of Physicians, Software Engineers, Data Scientists, and Machine Learning Specialists, among others, to identify needs, define requirements, and develop complete, fieldable solutions
- Actively participate in the development of system architectures for training, testing, and deploying machine learning models
- Keep abreast of pertinent signal processing / machine learning research by studying published work and attending conferences
- Manage research and development projects including scope, resources, and schedule
- Act as technical advisor to others in the R&D organization
- Promote development processes, tools, and best practices with the R&D organization