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14 часов назад

Healthcare Data Scientist (RWD)

Формат работы
remote (только USA)
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
Healthcare Data Scientist (RWD) (Healthcare AI and Real-World Evidence): Building rigorous real-world evidence analyses from large-scale claims and EHR data with an accent on statistical methodology, reproducible research, and clinical reasoning. Focus on evaluating AI research agents, modeling patient journeys, and translating complex healthcare findings into actionable evidence for clinical and biopharma stakeholders.

Location: United States — remote; San Francisco, California, United States

Company

hirify.global develops AI-powered clinical research tools for healthcare and life sciences organizations.

What you will do

  • Build and execute real-world evidence analyses using large-scale claims and EHR data.
  • Write scalable SQL and Python code to define cohorts, model patient journeys, and produce reproducible research outputs.
  • Evaluate treatment patterns, healthcare utilization, and outcomes while accounting for bias and data limitations.
  • Review and challenge analytical outputs from AI research agents and improve how they translate research questions into analyses.
  • Work with clinicians, researchers, life sciences organizations, and customer institutions to scope questions, deliver evidence, and support platform adoption.
  • Communicate assumptions, limitations, and technical findings clearly to scientific stakeholders and customers.

Requirements

  • PhD, or a Master’s degree plus 5+ years of industry experience, in biostatistics, epidemiology, clinical trials, public health, health informatics, health economics, or a related quantitative-health field.
  • Strong grounding in real-world data and real-world evidence methodology.
  • Proven ability to answer complex clinical or biopharma questions using SQL, Python, and R and/or SAS.
  • Experience with large healthcare datasets such as claims or EHR data, including clinical coding systems such as ICD, CPT, or RxNorm.
  • Track record of producing rigorous, research-grade analyses, reports, or publications and working with messy, high-dimensional data.
  • Hands-on AI/ML experience is required, including reviewing code and reasoning about model outputs.

Nice to have

  • Experience working directly with customers and in a sales capacity.
  • Industry experience, particularly in preference to consulting.

Culture & Benefits

  • Remote work is available within the United States.
  • Close collaboration with AI research, product, and customer teams.
  • Direct influence on AI system intelligence and clinical research outcomes.

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