Data Scientist

Focus on clinical outcomes research to develop and refine data-driven methods that help us understand and quantify the impact of sleep, recovery, and daily behaviors on long-term health outcomes. Your work will help bridge wearable data with clinical insights, shaping how individuals and healthcare providers understand wellness, prevention, and recovery. You will be designing evidence frameworks and validating algorithms that link wearable sensor data to meaningful clinical outcomes (e.g., cardiovascular, metabolic, and mental health indicators). You will also develop models to assess the impact of sleep, recovery, and activity patterns on population-level health and individual well-being. Partnering with clinical researchers to design, analyze, and interpret studies that validate and communicate the health and economic impact of wearable-derived metrics. Improve signal extraction from physiological time-series data (e.g., HRV, sleep staging, temperature) to make them more clinically interpretable. Work cross-functionally with product, research, and clinical teams to translate scientific insights into product features and healthcare applications and contribute to publications and presentations.