The role involves acting as an internal consultant to translate ambiguous questions into revenue-driving initiatives and owning strategies to maximize revenue and client acquisition across the entire revenue waterfall. Responsibilities also include utilizing advanced quantitative analysis like simulation models and A/B testing to influence strategic direction and enhancing quantitative tools.

The role involves leading the execution of studies to generate actionable Real-World Evidence (RWE) within established timelines, budgets, and quality standards. The individual will also be responsible for designing and driving the development of study protocols, statistical analysis plans, and study reports addressing priority methodological questions.

The role involves building models using statistics, healthcare knowledge, and ML/AI to identify pricing and underwriting opportunities by performing feature engineering, model development, and monitoring using various medical and third-party data. Responsibilities include contributing to comprehensive analytics for pricing/underwriting, executing special projects, and communicating actionable insights to business leaders and senior leadership.

The role involves activating Company’s clinical data repository to improve outcomes across various lines of business and use cases, requiring subject matter expertise in clinical data from EHRs and HIEs. Responsibilities include developing, validating, and supporting decision support tools, building data visualizations, and consulting with clients to implement advanced data science solutions.