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RWD Scientist (Real-World Data)

115 200 - 214 000$
Формат работы
onsite
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 that generate real-world evidence for clinical development, regulatory strategy, and healthcare decision-making with an accent on data strategy, study methodology, and analytical rigor. Focus on assessing real-world data sources, applying statistical methods, interpreting study results, and supporting responsible data use across therapeutic areas.

Location: Boston, Massachusetts, United States of America; relocation assistance is not available.

Salary: $115,200–$214,000 USD annually, plus a discretionary annual bonus may be available.

Company

hirify.global, part of Roche, develops medicines and advances healthcare through scientific research, clinical development, and real-world evidence.

What you will do

  • Design studies using real-world data to address clinical, operational, regulatory, and payer questions.
  • Identify relevant real-world data sources and perform feasibility assessments under the guidance of senior data scientists.
  • Apply observational study methodology to interpret study results appropriately.
  • Build expertise in novel data types, statistical methods, advanced analytics, special trial designs, and data-handling methods.
  • Follow established data science processes and guidelines to ensure compliance and quality.
  • Support knowledge sharing and continuous improvement in real-world data methodology and delivery.

Requirements

  • Master’s or PhD in Epidemiology, Biostatistics, Health Economics, or a related field.
  • Minimum 2–4 years of experience working with healthcare or real-world data in applied research settings, or an advanced degree with 0–2 years of equivalent work experience.
  • Experience using statistical software such as R, SAS, or Python for data analysis.
  • Independent thinking and the ability to make decisions based on sound principles.
  • Excellent strategic agility, problem-solving, and critical-thinking skills extending beyond the technical domain.
  • Respect for cultural differences when interacting with colleagues in a global workplace.
  • Excellent verbal and written communication skills, including presentation and technical writing, with the ability to explain complex concepts clearly.

Nice to have

  • Experience working in agile project teams or regulated environments.
  • Exposure to pharmacoepidemiology or health economics and outcomes research.
  • Experience in cardiovascular, renal, or metabolic disease therapeutic areas.
  • Authorship of publications.

Culture & Benefits

  • Work within the Real-World & Clinical Data Strategy team supporting evidence generation and data-driven decision-making across Product Development and Pharma.
  • Collaborate with internal functions and external partners in a global workplace.
  • Contribute to data governance, FAIR principles, data productization, regulatory readiness, and AI-powered transformation.
  • Equal-opportunity employment with accommodations available for applicants with disabilities.
  • Benefits are provided according to the company’s benefits program.

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