Job Description

Job Responsibilities:

• Execute, debug, and optimize distributed compute workflows for metric computation, analysis, and modeling across large datasets.
• Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the biosensor data.
• Generate and test hypotheses and analyze and interpret the results of product experiments.
• Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.
• Leverage data visualization to help the team make decisions about future R&D directions to go.

Skills:

• Experience with hardware sensors and real-world data analysis
• Direct experience working with biosensors or similar hardware and analyzing the resulting data.
• Signal processing expertise
• Ability to process time domain signals and/or medical imaging systems, which is crucial for biosensor data.
• Advanced programming and data manipulation
• 3+ years of hands-on experience with Python, R, MATLAB, or SQL for data extraction, manipulation, and visualization, including proficiency with scientific computing and analysis packages (NumPy, SciPy, Pandas, Scikit-learn, etc.).

Education/Experience:

• Master’s or PhD

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