Staff Algorithm Engineer – Emerging Sensing Technologies

🕒 Julho 30

🏄 California – Remoto

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💵 $135.100 - $225.100 / ano

⏰ Tempo Integral

🔴 Especialista

👷🏻‍♀️ Engenheiro

🦅 Patrocina Visto H1B

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👻 Score fantasma 0%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of Dexcom

Dexcom

10.000+ funcionários

Fundada em 1999

🏥 Saúde

💼 Consultoria

🏭 Manufatura

Healthcare • Consulting • Manufacturing

A Dexcom é um dos principais fornecedores de sistemas de monitoramento contínuo de glicose (CGM), revolucionando como as pessoas gerenciam o diabetes e acompanham seus níveis de glicose. Conhecida por sua tecnologia de biossensores de glicose de alta qualidade, a Dexcom oferece produtos como o sistema Dexcom G7 CGM, que fornece monitoramento de glicose em tempo real e insights para ajudar os indivíduos a se tornarem mais saudáveis. Fundada em 1999, a Dexcom tem inovado consistentemente no campo do gerenciamento de diabetes, capacitando os usuários a tomarem controle de sua saúde com soluções precisas e avançadas de monitoramento de glicose. Seus produtos são projetados tanto para adultos quanto para crianças e não exigem receita médica.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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

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