Responsibilities:
- Develop and implement data algorithms and machine learning models for tasks such as signal processing, anomaly detection, classification, and prediction using biometric data.
- Utilize advanced signal processing and mathematical modeling principles to create and enhance algorithms tailored for applications in activity tracking and sleep analysis.
- Clean and preprocess raw physiological data to remove noise, outliers, and errors, applying filtering, normalization, and feature extraction techniques.
Qualifications:
- Master’s or Ph.D. in a field related to data science, machine learning, computer science, bioinformatics, or biomedical engineering.
- Proficiency in signal processing techniques including filtering, feature extraction, and time-series analysis.
- Strong grasp of programming with fluency in Python and data manipulation libraries, with 3 to 7 years of experience.
Benefits:
- Unlimited PTO with board approved stock options and annual bonus.
- Healthcare, vision, dental, life insurance, and professional growth training.
- 401K with Safe Harbor employer contribution, remote work, and flexible working hours.
Vivosense
VivoSense is a science and technology company specializing in digital health technologies, including wearable sensors and connected monitoring tools. As a small company, they offer direct access to senior leadership and a fast-paced environment with a focus on rigorous scientific and analytic expertise.