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8 дней назад

Senior Research Scientist, Health Economic Modelling (R)

Формат работы
remote (только United_kingdom)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Research Scientist, Health Economic Modelling (R): Building and evaluating cost-effectiveness simulation models for pharmaceutical and biotech clients with an accent on R programming, health economics, and evidence synthesis. Focus on implementing statistical methods, analysing model drivers and uncertainties, and producing client-ready analyses and technical reports.

Location: Remote role associated with London, Greater London, United Kingdom

Company

hirify.global is an established global organization delivering health economics, evidence synthesis, and decision-modelling services for pharmaceutical and biotech clients.

What you will do

  • Build, program, and report health economic cost-effectiveness simulation models in R and Excel/VBA.
  • Plan analyses, conceptualize models, interpret results, and conduct sensitivity analyses.
  • Evaluate clinical and health economic studies to identify key drivers, data gaps, and methodological issues.
  • Prepare technical reports and other client-ready study deliverables.
  • Present progress and results to technical and non-technical audiences.
  • Collaborate with health economists, statisticians, and researchers on innovative global projects.

Requirements

  • Master’s degree in health economics, statistics, or a related discipline.
  • At least 4 years of relevant professional experience, ideally in consulting for biotech, pharmaceutical, or healthcare clients.
  • Proven R programming experience with cost-effectiveness simulation models.
  • Experience applying statistical methods in health economics, including parametric survival regression model extrapolation, network meta-analyses, and probabilistic sensitivity analyses.
  • Expertise in Excel and VBA, plus proficiency with Git or GitHub, data analysis, and visualization.
  • Strong analytical, communication, organizational, multitasking, and time-management skills.

Nice to have

  • Experience with Python, C++, hesim, shiny, or Rcpp.
  • Experience with Bayesian statistics and advanced modelling techniques.
  • Experience with network meta-analysis, matching-adjusted indirect comparison, or simulated treatment comparison.

Culture & Benefits

  • Innovative health economics and outcomes research environment.
  • Opportunity to work with a specialized, collaborative team.
  • Exposure to methodologically innovative projects for pharmaceutical and biotech clients.
  • Growth opportunities within a well-funded, established global organization.

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