8 дней назад
Senior Research Scientist, Health Economic Modelling (R)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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