Head of Data Science & Analytics

The role

You will lead Leap's work on developing methods and models to identify patients, forecast population behavior, and measure impact on costs, adherence, and access to care. You will partner with leaders across the business to translate complex questions into a shared roadmap for models, analyses, and reporting.

What you will do

• Develop methods for identifying patients using medical and pharmacy claims, eligibility records, clinical information, and operational data.
• Develop and validate models of patient engagement, treatment initiation, adherence, and persistence.
• Build population-level models to connect covered lives to specialty therapy utilization and treatment volume.
• Apply statistical methods such as hierarchical models, time-to-event analysis, and simulation.
• Develop methodologies for estimating savings, patient adherence, access to care, and program impact.
• Design experiments and observational analyses to understand engagement and care interventions.
• Work with functional leaders to identify data science and operational questions and build a shared roadmap.
• Build on existing reporting infrastructure to support growing client and patient populations.
• Establish standards for reviewing, testing, and validating models, analyses, and recurring reporting.
• Hire, develop, and lead data scientists and analysts.

Required qualifications

• Developed statistical or machine learning methods that informed real decisions or became part of operational workflows.
• Strong statistical foundations and experience with methods such as hierarchical or Bayesian modeling, forecasting, survival analysis, causal inference, or simulation.
• Worked hands-on with large healthcare datasets, including claims or eligibility data.
• Worked with functional leaders to define how outcomes and performance are measured and delivered models and reporting.
• Led data scientists or analysts, or built a substantial capability as an early technical hire.
• Use AI tools effectively while maintaining independent judgment, reproducibility, and appropriate validation.

Nice to have

• Experience in specialty pharmacy, payer, PBM, actuarial, health benefits, or clinical outcomes analytics.
• Experience identifying patient cohorts or treatment patterns from longitudinal healthcare data.
• Experience measuring healthcare costs, adherence, or program impact using experimental or observational methods.
• Experience forecasting low-frequency, high-cost events or heterogeneous populations with limited historical data.
• Experience with analytical data modeling, semantic layers, and self-service reporting tools such as dbt, Omni, or Looker.
• An advanced degree in statistics, biostatistics, computer science, applied mathematics, economics, epidemiology, or a related quantitative field, or equivalent applied experience.
• Experience building in a fast-growing company.

About the company

Leap is a benefits solutions provider and specialty pharmacy pioneer. They work to reshape how life-changing therapies are delivered and financed for employers and patients.