Senior Staff Algorithm Engineer – Emerging Sensing Technologies

🔥 18 hours ago

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

💵 $164.2k - $273.6k / year

⏰ Full Time

🟠 Senior

👷🏻‍♀️ Engineer

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Dexcom

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1999

🏥 Healthcare

💼 Consulting

🏭 Manufacturing

Healthcare • Consulting • Manufacturing

Dexcom is a leading provider of continuous glucose monitoring (CGM) systems, revolutionizing how people manage diabetes and track their glucose levels. Known for their best-in-class glucose biosensing technology, Dexcom offers products like the Dexcom G7 CGM system, which provides real-time glucose monitoring and insights to help individuals become healthier. Founded in 1999, Dexcom has consistently innovated in the field of diabetes management, empowering users to take control of their health with accurate and advanced glucose monitoring solutions. Their products are designed for both adults and children and do not require a prescription.

📋 Description

• 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 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

🎯 Requirements

• 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 • Bachelor’s degree in a technical discipline with 13+ years related experience, or Master’s degree with 8+ years equivalent industry experience, or PhD with 5+ years of 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 • Preferred: experience developing digital twins, simulation frameworks, physics-informed machine learning models, or computational models • Preferred: experience evaluating technical feasibility and technology readiness • Preferred: prior experience supporting innovation programs, exploratory research, or platform technology development • Preferred: publications, patents, or other evidence of scientific leadership • Preferred: experience within regulated industries • Travel required: 0-5%

🏖️ Benefits

• 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 • Home office workplace • Flex workplace option may be available for employees within commuting distance of a Dexcom site

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