Senior Director of Data Science, Clinical Performance

Pearl Health

2d•$210,000 - $250,000

About The Position

As the Senior Director of Data Science for Clinical Performance, you will step into a pivotal leadership role at the heart of Pearl Health’s mission. Reporting directly to the Chief Data Science Officer, you will serve as the primary quantitative architect of the systems that power and measure our clinical impact by defining the rigorous frameworks that prove the transformative value of Pearl’s enablement of patient care. This is a rare opportunity to own and execute a multi-year research roadmap for a high-growth startup that is actively reshaping how healthcare is delivered and compensated. You won't just be managing a team; you will be establishing the technical "source of truth,” the definitive narrative on how clinical interventions translate into population health outcomes and financial sustainability. This intelligence will guide our company strategy, shape our product evolution, and serve as the cornerstone of our relationships with health systems and physician-led networks across the country. We are seeking a visionary leader who thrives at the intersection of deep technical expertise and executive influence. You are as comfortable leading a team through the nuances of a complex causal inference study or risk-adjustment model as you are standing before our C-suite to translate those findings into a compelling strategic vision. If you are passionate about using data to fix a broken healthcare system and have the grit to build scalable, automated intelligence from the ground up, this is your chance to leave a lasting legacy on the future of primary care. Pearl Health is dedicated to empowering primary care providers, health systems, and physician-led networks to succeed in the shift to value-based care. Our platform delivers the technology, financial tools, and expert services that enable practices to provide more proactive, effective care to their Medicare patients, ultimately lowering costs and improving health outcomes. Founded in 2020, we are a team of healthcare and technology innovators backed by premier investors like Andreessen Horowitz, Viking Global Investors, and AlleyCorp. We partner with thousands of providers across 44 states to build a more sustainable future for American healthcare.

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. You have a proven track record of solving complex clinical problems using advanced statistical methods.
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.

Nice To Haves

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.

Responsibilities

Own the Scientific Methodology: Define and direct the research frameworks and model architectures for clinical risk identification and value attribution. You will be responsible for establishing the technical systems that rigorously calculate Pearl’s clinical impact.
Strategic Roadmap & Long-term Planning: Architect a multi-year roadmap for research into clinical performance that anticipates the evolving needs of value-based care and Medicare Advantage.
Executive Partnership & Influence: Act as a primary consultant for a majority of the management team, using data-driven insights to influence product direction, operational strategy, and enterprise-level decision making.
Narrative Building & Publishing: Translate complex technical study designs and statistical findings into clear, compelling strategic narratives for the management team. You will also represent Pearl Health’s scientific leadership by presenting at industry conferences and authoring peer-reviewed journal publications.
Team Leadership & Mentorship: Grow and empower an elite team of data scientists, fostering a culture of high trust, continuous feedback, and technical excellence.
Cross-Functional Integration: Drive the enhancement of Pearl’s predictive product capabilities, significantly increasing the precision and explainability of our clinical models to provide deeper, more actionable insights for our users.