Health Economist Lead

About the Role

The Health Economist Lead quantifies the clinical, financial, and operational impact of TailorCare's care model using rigorous causal inference and medical economics methods. This is a hands-on, individual-contributor role for someone who can independently execute rigorous causal inference analyses on defined business questions, selecting appropriate methods, running the analysis, and translating results into decisions the team can act on. The work is a mix of recurring reporting and defined analytical projects..

Primary Responsibilities

Design and execute causal inference and quasi-experimental analyses from cohort definition through covariate selection, matching or other identification strategies, impact estimation, sensitivity analysis, and interpretation.
Apply and extend established analytical methods and models, improving existing analyses over time, and know when a given method is or isn't appropriate.
Develop scalable, repeatable SQL and Python workflows for longitudinal cohort studies, model evaluation, and recurring business reporting.
Support clinical, analytics, and finance leaders to develop, forecast, and track population health and care management programs.
Interpret and analyze data from claims, provider, member, and encounter sources to identify and quantify the business impact of trends.
Produce monthly VBC financial reporting, including IBNR estimates, for finance.
Develop models to support actuarial, population health, and financial analysis across the enterprise.
Partner across the organization on planned and ad-hoc analyses supporting clinical strategy, operations, product, and finance; work closely with actuarial and data science on impact estimation and shared analyses.
Present findings to department and cross-functional stakeholders, translating econometric and financial results into clear, actionable takeaways.
Contribute methodological expertise to team analyses, documenting study design choices, identification strategy, assumptions, and limitations.
Other duties as assigned.

Qualifications

Relevant analytical experience within the healthcare industry, preferably at a health insurance company or a risk-bearing value-based care entity, at one of the following levels:
7+ years with a Bachelor's degree
or 6+ years with a Master's degree in a quantitative field
or 5+ years post-degree with a PhD in a quantitative field
5+ years of experience using SQL to analyze eligibility and medical claims data.
Bachelor's degree in economics, statistics, mathematics, actuarial science, biostatistics, public health, health informatics, healthcare administration, business analytics, finance, or a related field required. Master's or PhD in a quantitative field (economics, statistics, biostatistics, or similar) preferred.
Ability and willingness to travel up to 10% as needed for onsite meetings, team collaboration, and company events.

Skills

Deep working knowledge of causal inference methods (propensity score matching, difference-in-differences, instrumental variables, and similar), including a clear-eyed understanding of their assumptions and limitations.
Proven ability to implement analyses in production-quality Python, not just describe them.
Experience with healthcare coding standards, including CPT, HCPCS, ICD-10 Procedure, ICD-10 Diagnostic, DRG, MS-DRG, APR-DRG, etc.
Ability to build Excel-based reporting models to summarize and present healthcare eligibility and claims cost data.
A track record of owning analyses end-to-end
Strong communication skills, with the ability to make technical results legible and useful to non-technical executives.