Senior Algorithm Research Engineer (Remote/Flexible)

Insulet started in 2000 with an idea and a mission to enable our customers to enjoy simplicity, freedom and healthier lives through the use of our Omnipod® product platform. In the last two decades we have improved the lives of hundreds of thousands of patients by using innovative technology that is wearable, waterproof, and lifestyle accommodating.

The Senior Algorithm Research Engineer role is responsible for research and development of AI, machine learning, and neural network principles into Insulet’s brand new and strategic insulin therapy optimization solution for patients and healthcare providers. You will be developing analytics to gain insights of device settings, usage patterns, failure modes, and clinical outcomes. Using machine learning and pattern recognition techniques, you will develop algorithms to recommend optimal pump parameters to achieve the best clinical outcome. As one of the first team members to focus on AI, machine learning, and neural network concepts in automated insulin delivery systems, you have the opportunity to shape the technical framework and grow your role within the company tremendously.

Responsibilities:

• Develop and implement algorithms for insulin pump therapy optimization incorporating AI, machine learning, and neural network principles.
• Apply AI, machine learning, and neural network principles to leverage Insulet’s industry-leading data capabilities and refine advanced transformer models for automated insulin delivery control.
• Present findings to leadership and non-specialists in relation to business objectives.
• Work with IT and cross-functional teams to identify data sources, design data ingestion and data storage platforms.
• Develop data clean up and preprocess scripts as needed.
• Explore data patterns using existing data science tools and self-created programs.
• Mentor junior engineers.
• Performs other duties as required.

Education and Experience:

• Masters or Ph.D. degree in Computer Science, Electrical and Computer Engineering, or a closely related field is required.
• At least 5 years of work and research experience on machine learning, artificial intelligence, or statistical inferences.
• Experience in medical device or healthcare industries is desirable.

Preferred Skills and Competencies:

• Demonstrated proficiency in one or more analytic software tools, such as Python, R, Matlab, etc.
• Demonstrated proficiency in SQL and one or more relational databases, such as Oracle, Teradata, Microsoft SQL Server, etc.
• Experience in C/C++, C#, Java programming is a plus.
• Experience in Business Intelligence tools, such as Tableau, Spotfire, Cognos, is a plus.
• Demonstrated knowledge of software engineering principles and practices.
• Ability to work independently without detailed guidance, yet maintaining effective communications with leaders and stakeholders.

NOTE: This position is eligible for 100% remote working arrangements (may work from home/virtually 100%; may also work hybrid on-site/virtual as desired). ## LI-Remote  

Additional Information:

The US base salary range for this full-time position is $129,782.00 - $194,672.75. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position in the primary work location in the US. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your Talent Acquisition Specialist can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.