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2 дня назад

HEOR Researcher (Healthtech)

130 000 - 150 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle/senior
Английский
c1
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

HEOR Researcher (Healthtech): Analyzing large-scale real-world healthcare datasets to evaluate medication adherence and program impact with an accent on causal inference and multivariable statistical modeling. Focus on quantifying intervention opportunities, identifying drivers of non-adherence, and translating complex research findings into actionable client deliverables.

Location: Must live in and be eligible to work in the United States

Salary: $130,000–$150,000/year

Company

hirify.global is a rapidly growing healthcare technology company using AI and data science to deliver personalized medication management and improve patient outcomes at scale.

What you will do

  • Design and conduct studies on medication adherence using pharmacy and medical claims data.
  • Build and interpret multivariable statistical models to identify key drivers of health outcomes.
  • Quantify and prioritize intervention opportunities to improve member targeting and clinical tasking.
  • Evaluate the impact of clinical programs on quality, utilization, and cost using quasi-experimental methods.
  • Translate complex analytical findings into clear, actionable recommendations for executive-level stakeholders.
  • Collaborate cross-functionally with data scientists, clinicians, and operations leads.

Requirements

  • Master's degree in Economics, Health Economics, Epidemiology, Statistics, or related quantitative field.
  • 3+ years of experience conducting research with real-world healthcare data at a population level.
  • Hands-on proficiency with SQL, R, and Python.
  • Strong applied statistics skills including multivariable modeling and causal inference.
  • Must live in and be eligible to work in the United States.
  • Ability to pass a background check.

Nice to have

  • Familiarity with CMS Star Ratings, HEDIS, or other quality frameworks.
  • Experience with healthcare data standards like ICD-10 and NDC.
  • Prior experience in managed care, pharma, or high-growth health-tech environments.
  • Advanced causal and quasi-experimental design experience (e.g., target-trial emulation, synthetic control).

Culture & Benefits

  • Opportunity to shape a fast-growing company from the ground up.
  • Collaborative environment working with clinicians, engineers, and digital health entrepreneurs.
  • Mission-driven work focused on improving patient lives and reducing healthcare costs.
  • Commitment to a diverse and inclusive workplace.

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