Principal Algorithm Research Engineer – Remote/Flexible

Job not on LinkedIn

November 13

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Logo of Diabetes Youth Families

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

📋 Description

• Design and assess new features and safety mitigations for AID algorithm and overall product • Analyze clinical device data for algorithm development with proper statistic tools • Execute research plans, simulations and experiments to capture the clinical implications of new system features and safety mitigations of the AID system • Effectively demonstrate the value and clinical benefits of new features and safety mitigations developed by the algorithm team to key stakeholders • Capture key innovations that arise as part of new feature and safety analyses into IP portfolios • Collaborate effectively with multiple cross-functional groups within and outside the organization • Carry out any additional duties as required related to AID algorithm and product feature level development to achieve critical product development timelines

🎯 Requirements

• B.S. or Master’s degree in Electrical and Computer Engineering, Computer Science, Chemical Engineering, or a closely related field and 12+ years experience • Ph.D. in Electrical and Computer Engineering, Computer Science, Chemical Engineering, or a closely related field preferred, with 5 or more year’s academic or industrial research experience in an area related to control and signal processing, or data science in the field of diabetes • Exceptional competence writing software to implement and evaluate research ideas • Ability to translate research into real world applications

🏖️ Benefits

• Medical, dental, and vision insurance • 401(k) with company match • Paid time off (PTO) • And additional employee wellness programs

Apply Now

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