Pearl Health
51 - 200 employees
⚕️ Healthcare Insurance
☁️ SaaS
💸 Finance
💰 $18M Series A on 2021-09
Healthcare Insurance • SaaS • Finance
Pearl Health is a company dedicated to transforming primary care through value-based models. Their mission is to democratize access to value in healthcare, emphasizing quality care that rewards providers for improving patient health outcomes. Pearl Health offers data-driven insights, technology solutions, and hands-on support to primary care providers, helping them improve patient outcomes, reduce costs, and enhance their practice operations. Through strategic partnerships and their innovative Pearl Platform, they empower care providers to focus on patient care while stabilizing finances and sharing in the savings generated from quality care.
Staff Data Scientist, Clinical Performance
🕒 July 10
🗽 New York, Massachusetts, +1 more states – Remote
💵 $160k - $200k / year
⏰ Full Time
🔴 Lead
📊 Data Scientist
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Pearl Health
51 - 200 employees
⚕️ Healthcare Insurance
☁️ SaaS
💸 Finance
💰 $18M Series A on 2021-09
Healthcare Insurance • SaaS • Finance
Pearl Health is a company dedicated to transforming primary care through value-based models. Their mission is to democratize access to value in healthcare, emphasizing quality care that rewards providers for improving patient health outcomes. Pearl Health offers data-driven insights, technology solutions, and hands-on support to primary care providers, helping them improve patient outcomes, reduce costs, and enhance their practice operations. Through strategic partnerships and their innovative Pearl Platform, they empower care providers to focus on patient care while stabilizing finances and sharing in the savings generated from quality care.
📋 Description
• Lead the design and implementation of advanced causal inference and statistical frameworks • Develop and deploy ML models to predict patient outcomes • Design and build scalable systems for impact analyses • Partner with Engineering and Analytics for data pipelines • Collaborate with Product and Clinical Operations leaders • Architect and oversee AI-driven agents for statistical models
🎯 Requirements
• Master's degree or higher in Statistics, Economics, Biostatistics, Epidemiology, or a related quantitative field • 8+ years of experience in data science or quantitative analytics • Proven experience building and deploying machine learning models for prediction, forecasting, or risk modeling • Strong expertise in causal inference methods • Expert proficiency in Python and SQL • Experience developing scalable data science solutions in cloud environments • Excellent communication skills • Experience working with healthcare quality measures is preferred
🏖️ Benefits
• Competitive benefits package • Eligible for a discretionary performance bonus and equity options
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