Staff Algorithm Engineer – Emerging Sensing Technologies

🕒 il y a 7 jours

🏄 California – Distant

🏄 California – Remote

💵 $135 100 - $225 100 / an

⏰ Temps Plein

🔴 Expert

👷🏻‍♀️ Ingénieur

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Dexcom

Site WebLinkedInTous les Emplois

10 000+ employés

Fondée en 1999

🏥 Santé

💼 Conseil

🏭 Fabrication

Healthcare • Consulting • Manufacturing

Dexcom est un fournisseur de premier plan de systèmes de surveillance continue du glucose (CGM), qui révolutionne la façon dont les personnes gèrent le diabète et suivent leur glucose. Reconnue pour sa technologie de biocapteurs de glucose de référence, Dexcom propose des produits tels que le système CGM Dexcom G7, qui offre un suivi du glucose en temps réel et des insights pour aider chacun à améliorer sa santé. Fondée en 1999, Dexcom innove en continu dans le domaine de la prise en charge du diabète, donnant aux utilisateurs les moyens de reprendre le contrôle de leur santé grâce à des solutions de suivi du glucose précises et avancées. Leurs produits sont conçus pour les adultes comme pour les enfants et ne nécessitent pas d’ordonnance.

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 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.

🎯 Exigences

• PhD in Biomedical Engineering, Electrical Engineering, Applied Mathematics, Physics, Biophysics, Quantitative Biology, Computer Science, Statistics, or related discipline with 2-4 years industry experience; or MS with 5-7 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.

🏖️ Avantages

• 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