As the Senior Director of Data Science, Clinical Performance, you will lead an elite team of data scientists to build scalable, automated intelligence that empowers providers to succeed in value-based care and support Pearl's clinical performance strategy. This role requires a visionary leader who thrives at the intersection of deep technical expertise and executive influence, with a proven track record of solving complex clinical problems using advanced statistical methods.
Requirements
- Quantitative Scientific Leadership: 10+ years of experience in Data Science, Health Economics, Biostatistics, Epidemiology, Public Health, or a related quantitative field, including 4+ years of experience managing teams of data scientists or quantitative researchers.
- Healthcare Domain Mastery: Deep expertise in value-based care, population health, or clinical risk adjustment, with a nuanced understanding of healthcare data (claims, EHR, social determinants of health).
- Senior Leadership Scope: A proven ability to lead a large function or complex subject matter with significant autonomy; you are a builder of systems and frameworks, not just a manager of tasks.
- The "Pragmatic Visionary" Lens: The rare ability to bridge the gap between a p-value and a P&L statement, making technical concepts accessible and actionable for non-technical stakeholders.
- Technical & Architectural Literacy: Sufficient technical depth to guide architectural decisions, provide meaningful code reviews, and ensure scientific rigor within a modern data stack (Python, SQL, SageMaker, dbt).
- The Mentor Mindset: A commitment to empowering others, with experience developing senior individual contributors into future leaders within a high-growth environment.
- Stakeholder Management: Exceptional communication and interpersonal skills, with experience navigating and influencing a cross-functional management team.
- Advanced Credentials: PhD in a quantitative field such as Epidemiology, Public Health, or Biostatistics.
- Thought Leadership: A portfolio of peer-reviewed publications or experience as a featured speaker at healthcare and technology conferences.
- Startup Agility: Experience in high-growth environments, specifically scaling data products from manual research to automated features.
Benefits
- Competitive salary range: $210,000 - $250,000 per year
- Discretionary performance bonus
- Equity options
- Competitive benefits package
