Staff Researcher, Predictive Algorithms

Location: Remote, PA

Cardiac Management Solutions

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 purpose

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.

Duties and responsibilities

  • Conduct applied research on signal analysis algorithms to detect / predict patient condition.
  • 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 aspects of research and development projects including scope, resources, and schedule.
  • Comply with development processes, tools, and best practices with the R&D organization.

Qualifications

  • B.S. Degree, or equivalent industry experience, in computer engineering / computer science or related field with an emphasis on digital signal processing and machine learning.   M.S. or Ph.D. degree preferred.
  • Typically, 5+ years of practical research / development experience.  
  • Practical experience with machine learning or signal processing.
  • Proficiency with object-oriented and scripting languages, preferably Python.
  • Experience with cloud computing and big data analysis. 
  • Track record of delivering correct and performant solutions.
  • Familiar with both waterfall and agile project management methodologies and able to apply when appropriate. 
  • Excellent written and verbal communication skills. 
  • Demonstrated ability to influence and motivate team members across functions.
  • Excellent organizational skills with demonstrated ability to balance competing priorities.
  • Experience with mentoring junior engineers.

Working conditions

  • The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • The noise level in the work environment is usually quiet.

Physical requirements

  • 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.  Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • While performing the duties of this Job, the employee is regularly required to sit and talk or hear.  The employee is occasionally required to stand and walk.  The employee must occasionally lift and/or move up to 25 pounds.

Supervisory responsibility

No Direct Supervisory Responsibility

AAP/EEO Statement

ZOLL is committed to fostering an inclusive workplace, where unique identities, backgrounds, cultures, perspectives and experiences are respected and valued.

 Equal Opportunity Employer – Disability and Veteran

ZOLL now mandates COVID vaccinations subject to legal exemptions.

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