Data Scientist II

at  Medtronic

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

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.
We are looking for a motivated individual with strong analytical skills to join our team. The position involves research and development of algorithms related to glucose sensing technology. The individual will work with members of the algorithm team to improve the performance of continuous glucose sensors through the application of machine learning and advanced signal processing techniques, mathematical modeling, and experimentation. The role will involve all aspects of the R&D process, including data gathering, analysis, theory and algorithm development through to validation for regulatory submissions. A successful candidate will have in-depth technical knowledge of machine learning and signal processing methodologies and would take part in the full cycle of the development process which includes but is not limited to the design, implementation, debugging, testing and integration with other subsystems. Lastly, the candidate will also be involved in the documentation of such algorithms for regulatory submissions both domestically and internationally.

Responsibilities may include the following and other duties may be assigned.

• Apply principles of machine learning and signal processing, develop algorithms in MATLAB or other software package to test concepts
• Analyze, quantify and visualize large amounts of data to generate verifiable conclusions
• Contribute development projects from investigation through to productization
• 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
• Collaborate closely with others in the R&D organization

MUST HAVE: MINIMUM REQUIREMENTS

• Bachelor’s degree in Electrical engineering, Computer engineering, Computer science, or related discipline with 2+ years of experience in algorithm development
• OR, Advanced degree in Electrical engineering, Computer engineering, Computer science, or related discipline with 0+ years of experience in algorithm development

PHYSICAL JOB REQUIREMENTS

The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position.
The physical demands described within the Responsibilities section of this job description 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. For Office Roles: While performing the duties of this job, the employee is regularly required to be independently mobile. The employee is also required to interact with a computer, and communicate with peers and co-workers. Contact your manager or local HR to understand the Work Conditions and Physical requirements that may be specific to each role.

• Apply principles of machine learning and signal processing, develop algorithms in MATLAB or other software package to test concepts
• Analyze, quantify and visualize large amounts of data to generate verifiable conclusions
• Contribute development projects from investigation through to productization
• 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
• Collaborate closely with others in the R&D organizatio