1 day ago
Base Salary
$111k - $185k/yr
Responsibilities
- Lead development of advanced algorithms for next-generation glucose sensing technologies.
- Develop physics-based, mechanistic, and data-driven models to characterize sensor behavior and improve measurement performance.
- Design and implement signal processing, estimation, calibration, detection, and predictive algorithms.
- Apply statistical modeling, machine learning, and data analytics to bench, preclinical, clinical, and real-world datasets.
- Drive clinical performance assessments and algorithm maturation with cross-functional sensor, systems, hardware, firmware, clinical, and product teams.
- Evaluate algorithm performance through simulation, modeling, and experimental analysis.
- Provide technical guidance on algorithm architecture, design tradeoffs, verification strategies, and implementation approaches.
- Identify opportunities to optimize system performance and resource utilization.
- Facilitate algorithm design transfer with firmware, verification, and validation teams.
Requirements
- PhD in Biomedical Engineering, Electrical Engineering, Applied Mathematics, Physics, Computer Science, Biophysics, Statistics, or a related field with 2 years of industry experience; or a related Master's degree with 2-5 years of relevant experience.
- Typically requires a Bachelor's degree with 5-8 years of related experience, a Master's degree with 2-5 years of equivalent industry experience, or a PhD with 0-2 years of experience.
- Expert-level proficiency in Python, MATLAB, C/C++, or similar technical computing environments.
- Deep expertise in statistical estimation, signal processing, optimization, and mathematical modeling.
- Strong understanding and practical experience with machine learning techniques and model development.
- Experience developing algorithms for sensing technologies, measurement systems, medical devices, or related disciplines.
- Experience analyzing large and complex datasets with multiple signals and dependencies.
- Strong written, verbal, and presentation communication skills.
- Preferred experience with biosensors, physiological sensing, wearable systems, analytical instrumentation, calibration, estimation, filtering, measurement-system algorithms, or transitioning research algorithms into commercial products.
- Preferred knowledge of software engineering practices, design controls, verification and validation, product development lifecycles, and a record of innovation through publications or patents.
Benefits
- Full and comprehensive benefits program.
- Growth opportunities on a global scale.
- Career development through in-house learning programs and/or qualified tuition reimbursement.
- Remote home-office workplace; hybrid work may be available for employees within commuting distance of a Dexcom site, with a Flex workplace option.
- Travel required: 0-5%.
Categories
About Dexcom
Dexcom designs and manufactures continuous glucose monitoring (CGM) systems for people with diabetes, combining wearable sensors with transmitters, mobile apps, and cloud data services. It sells devices and disposable sensors through pharmacies, durable medical equipment channels, and healthcare providers, often covered by insurance. Founded in 1999 and headquartered in San Diego, Dexcom is a public company traded on NASDAQ (DXCM).