pythonmathematical modelingmachine learningstatistical analysismatlabsignal processingmedical devicessensor data
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$97к-165к/год
$120к$140кмедиана$170к
По похожим ролям (48) ~ $140к/год
На СНГ рынке: $3.6к/мес ($2.7к - $4.7к)
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Роль чётко сосредоточена на анализе сенсорных данных и разработке алгоритмов для устройств при диабете, с заметным влиянием на продукт и клинические исследования; быстрый темп и несколько проектов могут создавать конкурирующие приоритеты.
Несколько проектов
Актуальные инструменты
Польза для пациентов
Понятная зона задач
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Science Engineer II (Machine Learning/Medical Devices): Developing and validating algorithms for continuous glucose monitoring sensors through machine learning, signal processing, statistical analysis, and mathematical modeling with an accent on sensor, clinical, and physiological data. Focus on translating algorithm requirements into maintainable code, optimizing performance, and supporting medical device product development and clinical study design.
Location: Northridge, California, United States of America. Workplace type: Flexible.
Salary: $97,000–$165,000 annually for California roles.
Company
hirify.global develops insulin delivery and continuous glucose monitoring technologies for people living with diabetes.
What you will do
Contribute to research and development of glucose-sensing technology and transition research concepts into algorithm development, simulation, and modeling.
Analyze large sensor, clinical, and physiological datasets to answer technical questions and generate verifiable conclusions.
Apply machine learning, signal processing, statistical analysis, and mathematical modeling to develop and evaluate algorithms using MATLAB or Python.
Translate algorithm requirements into maintainable, documented code and perform implementation, testing, debugging, validation, and performance optimization.
Use analysis and algorithm evaluation results to support product development decisions and clinical study design.
Prepare technical documentation and present analytical results to technical and non-technical audiences while supporting multiple projects and priorities.
Requirements
Bachelor’s degree and at least 2 years of relevant experience, or an advanced degree with 0 years of experience.
Strong analytical and coding skills.
Ability to work with machine learning, signal processing, statistical analysis, and mathematical modeling.
Ability to develop high-quality software and follow software development lifecycle best practices.
Strong organizational, communication, collaboration, and multitasking skills.
Nice to have
Experience with sensor data.
Deep technical aptitude.
Experience with signal processing, statistical analysis, MATLAB, and Python.
Culture & Benefits
Full-time role supporting multiple projects in a fast-paced, deadline-driven environment.
Competitive compensation and flexible benefits package.
Health, dental, and vision insurance, plus Health Savings Account and Healthcare Flexible Spending Account access.
401(k) with company match, paid time off and holidays, disability coverage, life insurance, incentive plans, and employee stock purchase plan.
Regular employees working 20 or more hours per week are eligible for the benefits package; some benefits may not apply to temporary staff or employees in Puerto Rico.
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