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6 часов назад

RWD Scientist

115 200 - 214 000$
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

RWD Scientist (Real-World Data): Designing and executing observational studies using healthcare and real-world data to support clinical development, regulatory strategy, and healthcare decision-making with an accent on real-world evidence methodology, data strategy, and advanced analytics. Focus on assessing data sources, interpreting complex study results, and building scalable, compliant approaches to evidence generation across therapeutic areas.

Location: Based in Boston, Massachusetts or New York City, New York, United States. Relocation assistance is not available.

Salary: $115,200–$214,000 USD annually, plus potential discretionary annual bonus and benefits.

Company

hirify.global, a member of the Roche group, is a biotechnology company developing medicines for serious and life-threatening diseases through scientific research and innovation.

What you will do

  • Design and execute observational studies using healthcare and real-world data.
  • Support evidence generation for clinical development, regulatory strategy, payer questions, and healthcare decision-making.
  • Identify relevant real-world data sources and perform feasibility assessments with guidance from senior data scientists.
  • Apply observational study methodology and interpret study results appropriately.
  • Develop expertise in novel data types, statistical methods, advanced analytics, and specialized study designs.
  • Contribute to data strategy, knowledge sharing, and continuous improvement of real-world data methodology.

Requirements

  • Master’s or PhD in Epidemiology, Biostatistics, Health Economics, or a related field.
  • 2–4 years of experience working with healthcare or real-world data in applied research, or an advanced degree with 0–2 years of equivalent experience.
  • Experience using statistical software such as R, SAS, or Python for data analysis.
  • Strong strategic agility, problem-solving, critical thinking, independent judgment, and communication skills.
  • Experience working in agile project teams or regulated environments.
  • Must be based in Boston or New York; relocation assistance is not available.

Nice to have

  • Exposure to pharmacoepidemiology or health economics and outcomes research.
  • Experience in cardiovascular, renal, or metabolic disease.
  • Authorship of scientific publications.

Culture & Benefits

  • Work within a global Pharma organization focused on scientific rigor and evidence-based decision-making.
  • Collaborate with internal functions and external partners across therapeutic areas.
  • Contribute to responsible, AI-enabled use of real-world data at scale.
  • Benefits package and potential discretionary annual bonus are available.
  • Equal employment opportunity and workplace accommodation support are provided.

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