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HEOR Researcher

3 months, 1 week ago
United States
Full-time
Mid Level
Data Analyst
Data Science and Analytics
HIPAA Machine Learning Python R SQL Statistics XGBoost
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Arine

Arine

Arine is a comprehensive medication management platform that empowers health plans and providers to improve patient outcomes at scale. By optimizing medication therapy and treatment plans, Arine helps reduce healthcare costs, increase member satisfacti...

Insurance
11-50
$47M raised
View All Jobs 6

Description

  • Design and independently conduct studies on the drivers of medication adherence and non-adherence using claims, enrollment, and supplemental data.
  • Build, fit, and interpret multivariable explanatory models to identify key factors and understand differences across populations, contracts, and performance years.
  • Quantify, size, and prioritize intervention and member-targeting opportunities based on impact, feasibility, and likely adoption.
  • Evaluate the impact of Arine's programs and interventions on adherence, quality, utilization, and cost outcomes using quasi-experimental and descriptive methods.
  • Explore, validate, and analyze real-world datasets while owning data quality and investigating anomalies before client delivery.
  • Translate analyses into clear recommendations and polished client-facing deliverables such as executive decks, reports, and briefings.
  • Present findings to internal stakeholders, including executives, and participate in reviews of study design and analytic methods.
  • Apply the appropriate level of analytic rigor for each decision, from exploratory analysis to quasi-experimental design.
  • Partner closely with clinicians, data scientists, operations leads, engineering, and client stakeholders on cross-functional research work.

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 population-level research with real-world healthcare data such as medical and pharmacy claims.
  • Experience researching medication adherence and outcomes across commercial, Medicare Advantage, or Medicaid Managed Care populations.
  • Hands-on proficiency with SQL, R, and Python for data manipulation, analysis, and visualization.
  • Strong applied statistics experience with multivariable models, feature and variable selection, and distinguishing correlation from causation.
  • Working knowledge of causal inference methods for observational data, including difference-in-differences and matching.
  • Ability to work independently, prioritize multiple projects, and problem-solve under deadlines and ambiguity.
  • Excellent written and verbal communication skills for technical and non-technical audiences.
  • Ability to pass a background check.
  • Must live in and be eligible to work in the United States.
  • Familiarity with CMS Star Ratings, Part D adherence measures, SUPD, SPC, HEDIS, or Medicaid quality measures (preferred).
  • Understanding of medication therapy classes and clinically appropriate alternatives, such as antihypertensive and diabetes regimens (preferred).
  • Familiarity with social determinants of health, clinical comorbidity indices, behavioral health indicators, ICD-10, and NDC (preferred).
  • Experience producing client-facing deliverables and presenting to external or executive stakeholders (preferred).
  • Prior experience in managed care, pharma, or a high-growth health-tech or start-up environment (preferred).
  • Familiarity with time-to-event and survival analysis for adherence and persistence measures (preferred).
  • Advanced causal and quasi-experimental methods such as target-trial emulation, regression discontinuity, synthetic control, or instrumental variables (bonus).
  • Experience estimating heterogeneous treatment effects or conducting subgroup analyses with data science teams (bonus).
  • Ability to connect adherence to downstream utilization and total cost of care through economic modeling (bonus).
  • Familiarity with cost-effectiveness, budget-impact analysis, avoidable-spend attribution, or translating quality gains into plan economics (bonus).
  • Experience designing and analyzing experiments such as A/B tests or stepped-wedge rollouts (bonus).

Benefits

  • Salary range of $130,000 to $150,000 per year.
  • Opportunity to contribute to a fast-growing healthcare technology company with meaningful patient and cost impact.
  • Close collaboration with experienced clinicians, engineers, software architects, and digital health entrepreneurs.
  • Strong learning and growth opportunities in a dynamic, cross-functional environment.
  • Information Security Management Program participation with periodic Information Security Awareness and HIPAA training.
  • Equal opportunity employer committed to diversity, inclusion, and fair hiring practices.

Interested in this position?

Apply directly on the company website

Apply Now

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