- Working with sensors and time series
- Producing meaningful insights and physiologic predictors from sensor data collected by a novel health monitoring system.
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Senior Embedded Software Engineer
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Algorithm Engineer - Warminster, United States - Resource 1
Description
My client, a Medical Device Developer and manufacturer of Wearable Devices in Warminster PA, is looking for an Algorithm engineer. They are pioneering innovative, next-generation treatment devices for personal health monitoring. You will have the opportunity to work on cutting-edge technologies designed to revolutionize wearable health care. Your passion and drive will be rewarded with a competitive salary, benefits, and long-term growth opportunities.
Responsibilities in the position will consist of:
• Authoring and maintenance of efficient, scalable code intended to derive metrics from both live streaming (e.g. from embedded microcontrollers or cloud) and historical data.
• Designing, prototyping, testing, and deploying algorithms and data processing workflows; curating your work from start to finish.
• Iterating your work based on both external and internal feedback.
• Documenting your work; adhering to quality standards, effectively communicating information to technical and nontechnical audiences, generating impactful visual representations of data, and reporting results to external stakeholders and entities.
• Performing statistically sound analyses of your products and the data you work with collaborating across engineering disciplines to solve problems and improve on existing product.
Qualifications Required:
• Proven track record of career success in algorithm design and implementation. Solid understanding of data science principles and practice.
• Experience with one or more of the following languages: Python, Java, and C.
• Experience with MATLAB.
• Experience with statistical analysis.
• Understanding of machine learning methods and theory.
Preferred:
• 3-5 years of experience (or equivalent) and a BS or MS in Data Science or equivalent technical discipline.
• Previous work on time-series data, sensor fusion, and/or physiological data (e.g. accelerometry, EEG, EOG, PPG, ECoG) is highly desirable.
• Demonstrated ability and willingness to work with a cross-functional engineering team.
• Previous work in a healthcare or military-adjacent environment.
• Experience with PySpark and R.
• Experience with IoT and edge computing.
• Demonstrated project experience with machine learning methods.
• Must come out of Medical Device, Healthcare, Military, Automotive could possibly work.
