Personify Health is the first and only personalized health platform company dedicated to empowering individuals and organizations through innovative health solutions. The company provides a comprehensive platform that integrates health plan administration, wellbeing services, and care navigation to enhance the healthcare experience for employers, health systems, and brokers. By offering tailored solutions designed to improve member engagement and manage health costs, Personify Health aims to enable healthier lives and healthier businesses.
Health Plan Administration • Wellbeing • Navigation & Advocacy • Payment Integrity • Care and Condition Management
4 days ago
Personify Health is the first and only personalized health platform company dedicated to empowering individuals and organizations through innovative health solutions. The company provides a comprehensive platform that integrates health plan administration, wellbeing services, and care navigation to enhance the healthcare experience for employers, health systems, and brokers. By offering tailored solutions designed to improve member engagement and manage health costs, Personify Health aims to enable healthier lives and healthier businesses.
Health Plan Administration • Wellbeing • Navigation & Advocacy • Payment Integrity • Care and Condition Management
• Complete projects end to end in the employee health engagement SaaS industry • Prepare datasets and establish data pipelines • Build predictive machine learning models and optimize model performance • Support model deployment and inference workflows across product portfolio • Mentor junior team members • Troubleshoot and perform data audits to ensure and improve data integrity • Leverage model development software as well as Python and SAS to train/build models • Apply statistical techniques to validate and evaluate model performance • Consult and collaborate with Product, Analytics, and Account Management team members
• Master’s degree in statistics, comp sci, economics, or related field (or foreign equivalent) • Three (3) years of relevant data science experience • Three (3) years experience with clinical/medical data • Three (3) years experience using SAS and Python programming languages to analyze data and build predictive models • Three (3) years experience writing advanced SQL queries against large relational databases • Three (3) years experience producing and delivering analyses using varied media • Three (3) years experience managing medium and large-scale model development projects from end to end
• Total rewards • Flexible opportunities • Diverse inclusive community
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