Director, Applied Science

Responsibilities

• Lead a team of applied scientists and clinical researchers to build and evolve foundational doctor-ranking and other doctor categorization algorithms.
• Own the roadmap and standards for Garner Health Intelligence.
• Build, lead, and develop the GHI organization across Applied Science, Clinical Research, and Garner Insights, hiring and growing both ICs and managers.
• Be accountable for the business results of GHI, including the success of our rankings in improving healthcare cost and quality, as well as the commercial performance of Garner Insights.
• Stay close enough to the work to personally shape the hardest, most ambiguous problems — setting the objective functions, tradeoffs, and decision frameworks the team builds against.
• Decide where to invest, from machine learning to optimization to heuristics to simpler methods, and direct the team's effort to where it moves the company most.
• Partner with the executive team and cross-functional leaders across Product, Engineering, Clinical, and Commercial to align GHI with company strategy.
• Build a deep understanding of the healthcare economy and Garner's place in it, and represent GHI at the highest level inside and outside the company.

Requirements

• 7+ years of experience in applied science, quantitative research, machine learning, or a closely related field, including significant time spent personally building algorithmic systems.
• A track record of running an algorithms-driven organization as a business — owning both the technical results and the accountability for them (for example, leading a quantitative research group at a hedge fund, or an algorithms or ML organization at a top technology company).
• Management experience, including managing managers and scaling a high-performing technical team through hiring, development, and performance management.
• Deep quantitative and applied problem-solving skills, with the judgment to set the standard for how a large organization defines metrics and selects methods.
• Recognized technical authority, with the credibility to lead scientists who are experts in their own right.
• Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods — and in knowing when each is worth the investment.
• Executive communication skills, with a track record of driving alignment across an organization and with its leadership and board.
• A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback.

Nice-to-Haves

• A relevant advanced degree is preferred.

Compensation and Benefits

The target salary range for this position is $439,000 - $460,000. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.