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Associate – Medical Economics

Application ends: October 8, 2026
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Job Overview

  • Date Posted
    July 8, 2026
  • Location
    Remote
  • Expiration date
    October 8, 2026

Job Description

JOB  DETAILS

Requirements
  • College degree in a STEM field: e.g. Economics, Actuarial Science, Health Economics, Biostatistics, Health Informatics, Health Services Research.
  • 4+ years of quantitative analysis experience.
Responsibilities
  • Work under the guidance of the Associate Director, Medical Economics, serving as a and highly engaged analytic partner to drive market performance.
  • Analyze regional trends, competitor activities, and industry developments to identify new opportunities and risks.
  • Perform in-depth analysis of integrated claims and operational data (medical, pharmacy, lab, auths) to identify cost and trend drivers informing market operations.
  • Provide proactive financial guidance on emerging market trends and their potential impact on our financial performance.
  • Assess the effectiveness of market-level programs and integrate into the central affordability program.
  • Build retrospective studies to measure the actual financial and clinical outcomes of implemented affordability initiatives, comparing results against initial projections.
  • Build repeatable analytical processes that scale across market areas.
  • Present materials for market finance review meetings and manage follow-up with market leadership
  • Develop best practices in analytics, automation, and documentation, contributing to department programs around innovation, AI use, and tooling improvements.
  • Compliance with all applicable laws and regulations
  • Other duties as assigned
Desired Qualifications
  • Associate or Fellow of the Society of Actuaries (SOA), or on the track to become one.
  • Excellent communication, collaboration, and relationship-building skills.
  • Strong understanding of health insurance concepts, data sources, and nuances.
  • Proficiency using SQL, R, and/or Python to query, manipulate and analyze data.

 

 

 

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