Data Science-Machine Learning Engineer

Full time

Apply now

Employment Information

Job levelSenior level

Salary$120 000 - $150 000

IndustryMedical Equipment Manufacturing

Experience5+ years

LocationEnglewood, CO, United States

🔥 Rezi.ai - The Best Free AI Resume Builder. Get feedback on your resume! 🔥

Zynex’s mission is to improve life-quality of patients suffering from debilitating pain by providing proven pain management technology and the highest service standards in the electrotherapy industry.

As a Data Science-Machine Learning Engineer you will be responsible for working with the Clinical and Engineering teams in developing clinical solutions for next-generation patient monitoring products. This role is responsible for researching physiological challenges while creating, testing, and implementing machine learning models for detection of various pathological conditions from vital-signs and other physiological signal sources. This role requires expert knowledge of data analytics, experience in machine learning model development, expert capabilities in research and problem solving, and understanding of foundational SaS programming.

Essential Job Duties and Responsibilities:

Work with developers and project managers to determine the need for, and to define the requirements of, desired mathematical/statistical/algorithm/model development for new or ongoing projects, processes, or products to help solve clinical challenges
Prepare engineering analyses of mathematical projects which may include clinical research, preliminary system design specifications, and verification and validation (V&V) testing.
Develop, design, and integrate mathematical, statistical, and ML model processes and/or products for new product or process development, or for modifications to existing products or processes.
Utilize mathematical modeling software and/or data processing programs, to guide pre-development and optimization of signal processing and waveform component derivations, processing limitations, and other tangible engineering components.
Contribute to clinical publications involving complex principles of mathematical modeling within physiological responses.
Coordinate with cross functional teams to review data, optimize functional systems, and implement changes in line with modeling requirements.
Complete other duties as assigned, related to the development and optimization of medical devices.

Additional Responsibilities:

Compile reviews of research for signal characterization to guide product development for solving clinical challenges.
Work independently in an agile environment as well as with others within an engineering development team.
Develop software solutions in line with the regulated medical device industry under a quality management system.
Work requires willingness to work a flexible schedule including weekends and evenings as necessary.
Other duties as assigned.

Required Knowledge and Skills:

Minimum of bachelor’s degree in Biomedical Engineering, Biomedical Science, or similar. Additional Electrical or Computer Engineering education or experience is preferred.
Expertise in SaS Language(s), Python preferred.
5+ years of relevant industry experience, or equivalent.
High level of attention to detail and background in biology and applied mathematics.
Excellent written and oral communication skills and high level of proficiency in the English language.

Desired Knowledge and Skills:

Experience with Data Focused Languages such as Python, SQL, Java, or C#.
Understanding of basic electronics and related data acquisition and management techniques.
Development experience in a regulated industry, such as under the FDA, with practical experience in executing code releases, design-phase transitions, and quality reviews.
Experience in developing with a modern Software Version Control System, such as Git.
Knowledge of the principles of physiology and biological signal processing/acquisition.
Graduate degree preferred.

Physical and Environmental Requirements:

Fast-Paced, high-volume office environment with frequent interruptions.
Work requires travel to meetings, site visits, and experiment sites.
Proficient use of office equipment including computers, copiers, fax machines and telephones.
Proficiency with computers and Microsoft Office Suite (Word, Excel, PowerPoint, Outlook, Teams).
Ability to communicate effectively via spoken, written and electronic means.
Ability to sit for extended periods of time.

Note: This job description is not intended to be an exhaustive list of all duties, responsibilities or qualifications associated with the job.

Zynex Medical provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Apply now