Data Science & Analytics Engineer II (Northridge, CA)
MedtronicAbout the role
At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You’ll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world.
A Day in the Life
We are looking for an enthusiastic person with strong analytical skills to join our team. The position involves research and development of medical devices related to continuous glucose monitors. The individual will work with members of research staff to improve the performance of continuous glucose sensors through the application of advanced signal processing techniques, statistically-driven analytics, data processing, machine learning, mathematical modeling and experimentation. The role will involve all aspects of the research process, including data gathering, data processing and clean up, analysis, theory development and validation. Additionally, the candidate will be involved in the documentation of such systems for regulatory submissions both domestically and internationally. The ideal candidate would have direct experience in data analytics for biomedical devices.This position is an exciting opportunity to work with Medtronic's Diabetes business. Medtronic has announced its intention to separate the Diabetes division to promote future growth and innovation within the business and reallocate investments and resources across Medtronic, subject to applicable information and consultation requirements. This separation provides our team with a bold opportunity to unleash our potential, enabling us to operate with greater speed and agility. As a separate entity, we anticipate leveraging increased investments to drive meaningful innovation and enhance our impact on patient care.
Responsibilities may include the following and other duties may be assigned.
Contribute to glucose sensing technology innovation and research, technology transfer from research to development, algorithm development, simulation, and modeling
Support data processing and ensuring data quality used in downstream analytics and algorithm development efforts
Apply principles of signal processing, machine learning, analytics, and modeling to construct algorithms in MATLAB or other software package to test concepts
Analyze and quantify large amounts of data to generate verifiable conclusions
Identify problem areas and work with the team to gather the experimental data necessary to address these
Support complex projects to meet technology performance and schedule objectives
Support department functional groups in defining product features and requirements
Comply with external and internal regulatory requirements
Write detailed technical and scientific reports and manuscripts
Apply data analysis results to aid product development decisions and clinical study design
Minimum Requirements:
Requires a Bachelors Degree and minimum of 2 years of relevant experience, or advanced degree with 0 years of experience.
Preferred Qualifications:
Degree in Electrical Engineering, Computer Science, Biomedical Engineering (signal processing/analytics focus), Mathematics, Physics or related discipline
Working knowledge of advanced analytics methods, modeling, advanced signal processing, and/or machine learning methodologie
Demonstrated experience with, data processing, statistical analysis and/or signal processing
Proficient in MATLAB programming language, Python programming language and/or other signal processing environments
Excellent verbal and written communication skill
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