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7 дней назад

Real World Evidence Manager (Health Economics)

115 000 - 149 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Real World Evidence Manager (Health Economics): Designing and executing retrospective and prospective real-world evidence studies and building health economic models for the Zio cardiac monitoring platform with an accent on claims and EMR data, advanced epidemiological methods, and payer-focused evidence. Focus on developing reproducible statistical pipelines, translating clinical findings into economic models, and preparing analyses for payer decisions, health system contracting, and peer-reviewed publication.

Location: Remote - US

Salary: $115,000–$149,000 per year

Company

hirify.global is a digital healthcare company developing wearable biosensors, cloud-based analytics, and proprietary algorithms for cardiac monitoring and disease detection.

What you will do

  • Design and execute retrospective and prospective real-world evidence studies using claims, EMR/EHR, and proprietary clinical data.
  • Operationalize study protocols, analytical plans, variable definitions, and advanced epidemiological methods.
  • Build and maintain budget impact, cost-effectiveness, cost-utility, and payer decision-support models.
  • Develop reproducible analytical infrastructure, datasets, documentation, quality-control processes, and version-controlled repositories.
  • Prepare abstracts, posters, manuscripts, health economic dossiers, coverage submissions, and payer value tools.
  • Partner with Medical Affairs, Clinical Research, Commercial, Payer Relations, data vendors, CROs, and internal data science teams.

Requirements

  • Master’s or doctoral degree in Health Economics, Epidemiology, Biostatistics, Public Health, or a related quantitative field.
  • 3+ years of experience in HEOR, RWE, or health economic analytics in pharmaceutical, biotech, diagnostics, digital health, academic, or consulting environments.
  • Expert-level proficiency in at least two of R, Python, SAS, or STATA.
  • Experience designing observational studies with claims or EMR data and developing health economic models.
  • Peer-reviewed publications or equivalent scientific output, such as abstracts, posters, or dossier contributions.
  • Strong analytical judgment, methodological rigor, and ability to communicate complex analyses clearly.

Nice to have

  • PhD in Epidemiology, Biostatistics, Health Economics, or a related field.
  • Experience in cardiac electrophysiology, digital diagnostics, or ambulatory monitoring.
  • Knowledge of US reimbursement structures, CMS, Medicare Advantage, and commercial payer evidence requirements.
  • Experience with NCQA/HEDIS measures, Optum Clinformatics, IBM MarketScan, TriNetX, Komodo Health, Tableau, or equivalent platforms.

Culture & Benefits

  • Full-time remote work within the United States.
  • Patient-focused work contributing to cardiac health solutions.
  • Inclusive workplace welcoming diverse backgrounds, experiences, skills, and perspectives.
  • Reasonable accommodations are available for qualified individuals with disabilities.

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