Location
Pittsburgh, PA | United States
Job description
CMS
At ZOLL, we're passionate about improving patient outcomes and helping save lives.
We provide innovative technologies that make a meaningful difference in people's lives. Our medical devices, software and related services are used worldwide to diagnose and treat patients suffering from serious cardiopulmonary and respiratory conditions.
The Cardiac Management Solutions division of ZOLL Medical Corporation develops products to protect and manage cardiac patients, including the LifeVest® wearable cardioverter defibrillator (WCD), the ZOLL cardiac monitor, and associated technologies.
Heart disease is the leading cause of death for both men and women in the U.S. At ZOLL, your work will help to ensure cardiac patients get the life-saving therapy they need. To date, the LifeVest WCD has been worn by hundreds of thousands of patients and saved thousands of lives.
ZOLL has been Pittsburgh's Manufacturer of the Year, one of Western PA's Healthiest Employers, and even one of Pittsburgh's Coolest Offices. But it's our unique opportunity to impact people's lives that makes ZOLL the ideal place to build your career.
Job Type Hybrid
Job Summary Apply signal processing and machine learning techniques to develop new algorithms for understanding ECG and other medical data. These algorithms improve outcomes and quality of life for our patients.
Essential Functions - With direction from permanent staff, conduct applied research on algorithms to detect / predict patient conditions.
- Study published work to inform research plans.
- Collaborate with teams of Physicians, Software Engineers, Data Scientists, and Machine Learning Specialists, to understand needs, develop plans, and execute research projects.
- Participate in the development of system architectures for training, testing, and deploying machine learning models.
- Manage aspects of research projects including scope, resources, and schedule.
- Comply with development processes, tools, and best practices within the R&D organization.
Required/Preferred Education and Experience - B.S. Degree, in computer engineering / computer science or related field with an emphasis on digital signal processing and machine learning. Enrollment in an M.S. or Ph.D. degree program that includes training in machine learning theory and application.
- Typically, some practical experience with machine learning or signal processing in industry or an academic lab.
Knowledge, Skills and Abilities - Proficiency with object-oriented and scripting languages, preferably Python.
- Exposure to cloud computing and big data analysis.
- Excellent written and verbal communication skills.
Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.
- Standing - Occasionally
- Walking - Occasionally
- Sitting - Constantly
- Talking - Occasionally
- Hearing - Occasionally
- Repetitive Motions - Frequently
ZOLL is a fast-growing company that operates in more than 140 countries around the world. Our employees are inspired by a commitment to make a difference in patients' lives, and our culture values innovation, self-motivation and an entrepreneurial spirit. Join us in our efforts to improve outcomes for underserved patients suffering from critical cardiopulmonary conditions and help save more lives.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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