Head of Data Science & Analytics

Leap · Remote · US (Remote) ·
Fully remoteFull-timeLead8+ years
COMPENSATION
$200k – $250k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Head of Data Science
  • Healthcare analytics
  • Fully remote
  • Reports to President
  • Build the team

As Head of Data Science & Analytics, you will define the scientific direction for Leap’s analytical capabilities. You will develop methods to identify patients needing specialty care, forecast treatment demand, and measure program impact on costs and adherence. Working closely with Finance, Clinical, and Product leaders, you will translate complex healthcare data into actionable insights that drive business strategy and operational efficiency.

What you'll do

  • Develop predictive models to identify patients who benefit from specialty care support
  • Forecast population behavior and therapy demand using statistical methods
  • Establish methodologies for measuring savings, adherence, and program impact
  • Partner with functional leaders to define metrics and build an analytical roadmap
  • Expand self-service reporting environments and maintain business data dictionaries
  • Hire, develop, and lead a growing team of data scientists and analysts
  • Set standards for model validation, testing, and reproducibility across the organization

What you'll need

  • Proven experience developing statistical or ML methods for operational workflows
  • Strong foundation in hierarchical modeling, forecasting, or causal inference
  • Hands-on experience with large healthcare datasets including claims data
  • Track record of leading data teams or building analytical capabilities as an early hire
  • Ability to translate business questions into robust analytical models and reports
  • Proficiency in using AI tools while maintaining rigorous validation standards

Nice to have

  • Background in specialty pharmacy, payer, PBM, or health benefits analytics
  • Experience identifying patient cohorts from longitudinal healthcare data
  • Familiarity with dbt, Omni, or Looker for semantic layers and reporting
  • Advanced degree in statistics, biostatistics, economics, or related field
  • Experience forecasting low-frequency, high-cost events in heterogeneous populations

Stack

  • dbt
  • Omni
  • Looker

How you'll work

  • Reports directly to the President and co-founder
  • Hands-on leadership role with team building responsibilities
  • Collaborates with Finance, Commercial, Clinical, and Product teams