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1 день назад

Senior Quantitative Scientist (Real-World Evidence)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
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
Senior Quantitative Scientist (Real-World Evidence): Building validated data assets and scalable analytic frameworks for rigorous, reproducible, and regulatory-grade real-world evidence with an accent on data quality, statistical analysis, and scientific transparency. Focus on designing retrospective and prospective studies, creating reusable analytic processes, and translating complex findings into insights for life sciences, regulatory, and academic audiences.

Location: Research Triangle Park or Raleigh, North Carolina, United States; hybrid work with 3 days per week in the office

Company

hirify.global combines health system partnerships, longitudinal data curation, and modern study design to generate multimodal evidence for pharmaceutical, biotech, provider, payer, regulatory, and academic applications.

What you will do

  • Establish company data as a trusted, validated scientific asset for regulatory and scientific use.
  • Develop expertise in data structure, provenance, quality, strengths, limitations, and applications.
  • Design validation frameworks, data quality checks, fitness-for-use assessments, data dictionaries, and reproducible documentation.
  • Design and execute retrospective and prospective real-world data studies, statistical analysis plans, and descriptive, comparative, and predictive analyses.
  • Build scalable, reusable analytic frameworks and modular code structures using version control, code review, and documentation best practices.
  • Partner with Commercial, Medical Science, Product, Data Insights, Engineering, Clinical Operations, clients, regulators, and researchers to communicate data value and translate findings into client-facing materials.

Requirements

  • Advanced degree in biostatistics, epidemiology, health economics, bioinformatics, data science, or a related quantitative field.
  • 5–10+ years of experience working with real-world data, including EMR, claims, registry, or clinical trial data.
  • Strong programming expertise in R and experience with reproducible analytic frameworks.
  • Expertise in data quality assessment, validation, and curation workflows.
  • Ability to build and maintain reproducible coding practices and scalable analytic processes across studies.
  • Strong communication, presentation, and collaboration skills with cross-functional technical and scientific teams.
  • Ability to translate data insights into actionable scientific or business recommendations.

Culture & Benefits

  • Hybrid work with 3 days per week in the new office.
  • Health, dental, and vision coverage for employees and families.
  • 401(k) with company match.
  • Generous paid time off and company holidays.
  • Paid parental leave.
  • Equal opportunity workplace committed to diverse backgrounds and abilities.

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