Director/Principal Research Scientist, Health Economics

Thyme Care•Remote, United States

1d•$130,000 - $190,000

About The Position

Thyme Care is hiring a Director/Principal Research Scientist to lead research and health economics work for its value-based oncology care model. The role measures the impact of Thyme Care’s programs on clinical outcomes for people with cancer and develops evidence-based narratives to communicate the organization’s value to customers. The position leads a team of research scientists, plans internal program evaluations, and provides care teams with actionable insights to improve performance against operational targets. It sets strategy for predictive analytics and risk adjustment, oversees estimates of potential savings from provider partnerships and clinical interventions, and supports models linking operational activities to claims-based outcomes and financial performance. The role also contributes to claims data quality, consistent measurement definitions, and best practices in analytic reporting. The successful candidate brings extensive health outcomes evaluation experience, strong quantitative and healthcare data expertise, and the ability to communicate findings and recommended actions to executives and external audiences. The role calls for someone who is detail-oriented, action-focused, comfortable with ambiguity, and committed to Thyme Care’s mission and values.

Requirements

10 or more years of experience conducting health outcomes evaluations at a payer, integrated health system, managed care organization, or value-based care organization.
Deep knowledge of clinical outcome measures and causal inference methods.
Expertise in predictive analytics and risk adjustment methods used to evaluate care quality.
Experience developing Excel-based financial models or forecasts estimating the cost-of-care impact of clinical interventions.
High proficiency in SQL and experience extracting and transforming data from large healthcare claims databases.
Familiarity with business intelligence tools such as Looker, Metabase, Tableau, or Qlik Sense.
Experience working effectively across functions and building strong relationships with data and clinical teams.
Ability to explain findings, implications, and recommended actions to executives and external audiences.
Bachelor’s degree in economics, statistics, actuarial science, or another quantitative field.
High standards for data accuracy, presentation, and documentation, with the ability to detect anomalies and suspicious outputs.
Ability to identify and prioritize initiative needs and act promptly on urgent and important work.
Proven ability to succeed in scaling businesses, fast-paced environments, and startups, including amid changing priorities.
Solid understanding of healthcare data and financial concepts, with the ability to use analytic methods to guide tactical decisions and strategic plans.
Ability to right-size solutions and tailor communication to the audience.
Commitment to Thyme Care’s mission, especially the member experience, and its values of acting with members in mind, moving with purpose, and seeking diverse perspectives.

Nice To Haves

Experience with Python or another programming language.
An advanced degree.

Responsibilities

Lead a team of research scientists measuring Thyme Care’s impact on clinical outcomes for patients with cancer and developing narratives that communicate Thyme Care’s value to customers.
Plan and conduct internal program evaluations, providing care teams with actionable insights to improve performance against operational targets.
Set the strategy for predictive analytics and risk adjustment, and guide the team in developing and applying models.
Oversee analyses estimating potential savings from provider partnerships and new clinical interventions.
Support the development and maintenance of models that connect operational activities to claims-based outcomes and Thyme Care’s financial performance.
Support claims data quality checks, investigate anomalies to identify root causes, and work with data science teams to resolve issues.
Establish consistent measurement definitions across the organization and promote best practices in analytic reporting.