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Sr AI/Data Science Engineer (Northridge, CA)

Medtronic

Careers that Change LivesThe 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 LifeAs 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 conceptsDevelop and validate physiological models of using mathematical and statistical optimization, numerical methods and parameter estimation techniquesApply principles of dynamical systems to uncover characteristics and behaviors of patients from their biological signalsDrive novel applications of machine learning or physiological modeling to time series data from wearable devices such as glucose sensors, insulin pumps and activity trackersWrite, 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 Requirements4+ years of experience (Medical device industry preferred) in algorithm development with a bachelor’s degreeOR, 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 methodologiesExtensive programming experience with MATLAB and/or PythonDemonstrated ability to work and lead within a team-based project environmentAbility to effectively communicate technical information through presentation and through the preparation of technical documentation and/or manuscriptsAbility to read, analyze, and interpret common scientific and technical journalsMachine 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 HaveIndustry or academic experience working with biological signals; preferably in medical devicesExperience in a regulated industry and exposure to regulatory submissionsExperience interacting with a multi-disciplinary, cross-functional teamExperience utilizing statistical methods to inform decision makingDemonstrated ability in managing/supporting multiple projects in a deadline driven environmentDemonstrated ability in producing written documentation such as specifications, engineering reports, test plans, test procedures, validation plans, and validation reportsAbout MedtronicTogether, 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

Location: Los Angeles, CA

Posted: Sept. 9, 2024, 9:57 a.m.

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