Careers that Change Lives
The Diabetes Operating Unit focuses on improving the lives of those within the global diabetes community. As a business, we strive to empower people with diabetes to live life on their terms by delivering innovation that truly matters and providing support in the ways they need it. We’re committed to meeting people with diabetes where they are in their journey, always with an aim to make their lives easier. Our portfolio of innovative solutions are designed to provide customers greater freedom and better health, helping them achieve better glucose control, while spending less time managing their disease.
Join a diverse team of innovators who bring their worldview, their unique backgrounds, and their individual life experiences to work every day. It’s no accident —we work hard to cultivate a workforce that reflects our patients and partners. We believe it’s the only way to drive healthcare forward and remain a global leader in medical technology and solutions.
This position is on-site in our Northridge, CA office.
A Day in the Life
As a member of the Data Science team, the Senior Data Scientist will engage in statistical and exploratory analysis of datasets such as medical devices data (e.g. insulin pumps and glucose sensors) and smart wearable devices, alongside patient contextual data, and use the insights to build robust classification and prediction models geared toward diabetes management products using advanced artificial intelligence, machine learning algorithms, and/or physiological modeling.
The Senior Data Scientist will also play a role in advising and assisting strategic decision making by delving into new and existing data sources to define, monitor, and report on key product performance metrics, test and validate hypotheses, help prioritize product pipelines, and influence better product design decisions.
Position Responsibilities:
- Apply principles of machine learning and signal processing, develop algorithms in MATLAB or other software package to test concepts
- Develop and validate physiological models of using mathematical and statistical optimization, numerical methods and parameter estimation techniques
- Apply principles of dynamical systems to uncover characteristics and behaviors of patients from their biological signals
- Drive novel applications of machine learning or physiological modeling to time series data from wearable devices such as glucose sensors, insulin pumps and activity trackers
- Write, maintain, and peer-review production level code on code repositories using Git (GitHub and GitLab).
- Mine through varied data sources using structured (SQL) and non-structured (NoSQL) databases, as well as cloud computing and storage technologies (AWS); program complex queries; process, cleanse, and verify integrity of data used for analysis.
Must Have: Minimum Requirements
- 4+ years of experience (Medical device industry preferred) in algorithm development with a bachelor’s degree
- OR, 2+ years of experience (Medical device industry preferred) in algorithm development with an advanced degree (PhD, Masters)
Specialized Knowledge or Skills Required:
- Knowledge of and direct experience working with signal processing and machine learning methodologies
- Extensive programming experience with MATLAB and/or Python
- Demonstrated ability to work and lead within a team-based project environment
- Ability to effectively communicate technical information through presentation and through the preparation of technical documentation and/or manuscripts
- Ability to read, analyze, and interpret common scientific and technical journals
- Machine Learning and/or Deep Learning project experience, preferably prototyping and/or deployment of such models in an industry setting; including techniques such as Random Forests, AdaBoost, Shapley analysis, Deep Neural Networks (NNN), Convolutional Neural Networks (CNN), Encoders, and/or Transformer Networks.
Nice to Have
- Industry or academic experience working with biological signals; preferably in medical devices
- Experience in a regulated industry and exposure to regulatory submissions
- Experience interacting with a multi-disciplinary, cross-functional team
- Experience utilizing statistical methods to inform decision making
- Demonstrated ability in managing/supporting multiple projects in a deadline driven environment
- Demonstrated ability in producing written documentation such as specifications, engineering reports, test plans, test procedures, validation plans, and validation reports
About Medtronic
Together, we can change healthcare worldwide. At Medtronic, we push the limits of what technology, therapies and services can do to help alleviate pain, restore health and extend life. We challenge ourselves and each other to make tomorrow better than yesterday. It is what makes this an exciting and rewarding place to be.
We want to accelerate and advance our ability to create meaningful innovations - but we will only succeed with the right people on our team. Let’s work together to address universal healthcare needs and improve patients’ lives. Help us shape the future.
Physical Job Requirements
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. (ADA-United States of America)
A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage.
This position is eligible for a short-term incentive plan.
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