Diabetes Youth Families
Healthcare Insurance • Hardware
Diabetes Youth Families is a company that provides wearable insulin delivery solutions for diabetes management. Their primary products, such as the Omnipod 5 and Omnipod DASH systems, offer tubeless and automated insulin delivery for people with Type 1 and Type 2 diabetes, allowing users to manage their condition without the need for multiple daily injections. The systems integrate with continuous glucose monitoring (CGM) devices and can be controlled via compatible smartphones, enhancing the freedom and lifestyle of individuals living with diabetes. With a focus on reducing the burden of diabetes management, they offer financial assistance, support resources, and trial programs to help users adapt to their innovative solutions. The company emphasizes making life simpler while managing diabetes through technology-driven insulin management systems.
11 - 50 employees
Founded 1938
⚕️ Healthcare Insurance
🔧 Hardware
Data Scientist - Remote
Job not on LinkedIn
May 21
Diabetes Youth Families
Healthcare Insurance • Hardware
Diabetes Youth Families is a company that provides wearable insulin delivery solutions for diabetes management. Their primary products, such as the Omnipod 5 and Omnipod DASH systems, offer tubeless and automated insulin delivery for people with Type 1 and Type 2 diabetes, allowing users to manage their condition without the need for multiple daily injections. The systems integrate with continuous glucose monitoring (CGM) devices and can be controlled via compatible smartphones, enhancing the freedom and lifestyle of individuals living with diabetes. With a focus on reducing the burden of diabetes management, they offer financial assistance, support resources, and trial programs to help users adapt to their innovative solutions. The company emphasizes making life simpler while managing diabetes through technology-driven insulin management systems.
11 - 50 employees
Founded 1938
⚕️ Healthcare Insurance
🔧 Hardware
đź“‹ Description
• Work with IT and cross functional teams to identify data sources, design data ingestion, clean up, and pre-processing scripts as needed. • Leverage cloud computing technologies for automated machine learning and analytics pipelines, such as Azure, AWS, GCP, etc. • Explore data patterns using existing data science tools and self-created programs. • Perform statistical analysis, predictive modeling, and generate automated reporting as required. • Support software V&V and IQ/OQ/PQ efforts • Clearly communicate findings to a broad audience, in relation to business objectives. • Mentor junior engineers/scientists. • Performs other duties as required.
🎯 Requirements
• Bachelors or Master’s degree in Mathematics, Computer Science, Electrical and Computer Engineering, or a closely related field is required. • At least 2 years of work experience on machine learning, artificial intelligence, or statistical inferences. • Experiences in manufacturing, medical device, and/or healthcare industries is desirable.
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