You will contribute to R&D projects in TDI, working with a team of experts in advanced algorithmic treatments, diagnostics, and insights for diabetes, pre-diabetes, and health and longevity, enhancing care from HCPs and helping people to treat better, eat better, sleep better, and live better.
You will analyze clinical trial and health records data.
You will perform modeling and design activities, and you will be involved in selecting the appropriate methods to apply, including both data-driven and model-based methods.
You will help to identify and sell innovation opportunities for TDI, responding to needs articulated by Dexcom’s commercial and strategic planning teams.
You will develop prototype software within an agile R&D framework that supports massively parallel simulation.
You will document and communicate your work.
You will work with cross-functional teams in support of downstream commercialization efforts.

You must have a hunger to make the world a better place by developing advanced algorithmic treatments, diagnostics, and insights for diabetes, pre-diabetes, and health and longevity.
You must have experience working with complex data from diverse sources, including clinical study data.
You must have experience with first principles and/or data-driven modeling methods.
You must have experience translating models into signal processing, control, and/or decision-support algorithms in a biomedical context.
You must be comfortable with common software development and data analysis platforms (Python, R, Matlab, or other similar environments) and practice modern software development methods.
You must have strong written and oral communication skills, suitable for diverse audiences ranging from your peers within TDI to Dexcom leadership.
Ideally, you have been exposed to glucose-insulin metabolic health concepts, models, and technology.
Ideally, you have participated in the design of clinical trial end points and monitored their collection and analysis.
Ideally, you have a master's degree or higher in Electrical, Biomedical, or Systems Engineering, Computer Science, or a related field.
Ideally, you have experience with cloud computing environments such as GCP or AWS.

A full and comprehensive benefits program.
Growth opportunities on a global scale.
Access to career development through in-house learning programs and/or qualified tuition reimbursement.
An exciting and innovative, industry-leading organization committed to our employees, customers, and the communities we serve.

Senior Algorithm Engineer

Key skills