Clinical Risk Data Science Director

Job Summary

Leading a high-performing team, the full-time Clinical Risk Data Science Director will manage the development of advanced statistical and machine learning models to transform clinical and risk data into actionable insights, driving improved health outcomes and informing enterprise strategies in a remote capacity.

Key responsibilities

• Leads and develops a team of data scientists and machine learning engineers focused on clinical analytics and risk modeling
• Oversees the design, development, and deployment of predictive models and AI solutions to forecast member risk and improve quality of care
• Partners with stakeholders to translate complex modeling work into actionable business outcomes and strategic insights

Required qualifications

• 10 years of experience in data science, advanced analytics, or statistical modeling, particularly in healthcare or clinical domains
• Demonstrated experience in leading and developing teams of data scientists or machine learning engineers
• Deep technical expertise in statistical modeling, machine learning, and AI techniques
• Advanced degree in a quantitative discipline preferred
• Strong executive presence with the ability to communicate complex concepts to non-technical audiences