Meet the team:
This is where curiosity, scientific rigor, and innovation come together to shape the future of biosensing. The Algorithms team, as well as our Sr Staff Algorithm Engineer, will play a critical role in evaluating novel sensing concepts, developing modeling frameworks, and identifying technologies that may power future generations of health insights.
Where you come in:
* Lead algorithm, modeling, and simulation activities supporting emerging sensing technologies.
* Develop first-principles, mechanistic, statistical, and machine-learning models to understand complex biological and sensing phenomena.
* Design experiments and analytical approaches to evaluate technology feasibility and performance limits.
* Partner with multidisciplinary teams to identify key technical opportunities and risks for novel sensing approaches.
* Create simulation environments and predictive models to guide technology investment decisions and development strategies.
* Apply advanced analytics and machine learning methods to uncover patterns and insights from experimental data.
* Explore novel sensing concepts and measurement methodologies across a variety of biological and physical domains.
* Influence long-term technology roadmaps through scientific rigor and technical leadership.
* Communicate findings and recommendations to technical experts, business stakeholders, and senior leadership.
What makes you successful:
* PhD in Biomedical Engineering, Electrical Engineering, Applied Mathematics, Physics, Biophysics, Quantitative Biology, Computer Science, Statistics, or related discipline with 5-7 years industry experience; or MS with 8-12 years relevant experience.
* Strong foundation in mathematical modeling, simulation, statistics, and machine learning.
* Expertise in Python, MATLAB, or similar technical computing environments.
* Demonstrated experience developing first-principles and predictive models of complex systems.
* Ability to independently define technical problems, formulate hypotheses, design analyses, and derive actionable conclusions.
* Strong scientific curiosity and willingness to explore unfamiliar technical domains.
* Experience working in research, advanced development, or technology incubation environments.
* Ability to make progress despite incomplete information and evolving requirements.
* Excellent communication skills and ability to explain highly technical concepts to diverse audiences.
Preferred:
* Experience in biosensing, biophysics, physiology, electrochemistry, analytical chemistry, or related fields.
* Experience developing digital twins, simulation frameworks, physics-informed machine learning models, or computational models.
* Experience evaluating technical feasibility and technology readiness.
* Prior experience supporting innovation programs, exploratory research, or platform technology development.
* Publications, patents, or other evidence of scientific leadership.
* Experience within regulated industries.
What you’ll get:
* A front row seat to life changing CGM technology. Learn about our brave #dexcomwarriors community.
* 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.
Travel Required:
* 0-5%
Education and Experience:
* Typically requires a Bachelor’s degree in a technical discipline, and a minimum of 13+ years related experience or a Master’s degree and 8+ years equivalent industry experience or a PhD and 5+ years of experience.
Remote Workplace: Your location will be a home office; you are not required to live within commuting distance of your assigned Dexcom site (typically 75 miles/120km). If you reside within commuting distance of a Dexcom site (typically 75 miles/120km) a hybrid working environment may be available. Ask about…