HEOR Researcher
Overview
Arine is a healthcare technology and clinical services company based in San Francisco. Founded to address the inefficiencies caused by suboptimal medication management, Arine aims to provide comprehensive economic and health outcomes for patients. The company uses advanced data science, machine learning, and AI to deliver personalized care plans on a large scale.
Why Work Here?
Outstanding Team and Culture: Our shared mission motivates us to innovate and excel.
Proven Impact: We save lives and improve health outcomes, including reducing hospitalizations and lowering healthcare costs.
Market Opportunity: Arine is backed by leading healthcare investors and addresses a critical issue in the US healthcare system.
Dramatic Growth: We manage over 18 million lives in just four years, and were ranked 236 on the 2024 Inc. 5000 list.
Role Description
We are seeking a HEOR Researcher with experience in medication adherence research. The ideal candidate will:
Conduct studies to understand what drives medication adherence and non-adherence using pharmacy and medical claims data.
Build and interpret multivariable statistical models to identify significant factors affecting adherence.
Quantify and prioritize opportunities for improving adherence and cost outcomes.
Evaluate the impact of Arine's interventions on adherence, quality, utilization, and cost outcomes.
Translate findings into actionable recommendations for clients.
Requirements
Master's degree in Economics, Health Economics, Health Services Research, Epidemiology, Statistics, or a related quantitative field (PhD preferred).
3+ years of experience conducting research with real-world healthcare data.
Experience researching medication adherence and outcomes in commercial, Medicare Advantage, or Medicaid Managed Care populations.
Proficiency with SQL, R, and Python for data manipulation and analysis.
Strong applied statistics skills, including building and interpreting multivariable models and causal inference for observational data.
Excellent written and verbal communication skills, including the ability to present complex technical concepts to various audiences.
Additional Qualifications
Familiarity with adherence and quality frameworks such as CMS Star Ratings and Part D adherence measures.
Experience with clinical comorbidity indices, behavioral health indicators, and social determinants of health.
Advanced causal and quasi-experimental designs, such as target-trial emulation, regression discontinuity, synthetic control, or instrumental variables.
Experience with healthcare cost and value methods, such as cost-effectiveness or budget-impact analysis.
Experience designing and analyzing experiments, such as A/B tests or stepped-wedge studies.