Senior Research Scientist, Health Economic Modelling

原始資料於 2026-11-04T15:06:58.463335+00:00 查閱；內容可能已更新，請查看原始職位。

About you:
Experienced Health Economist: You have a background in health economics, statistics or a related field, HEOR experience, and a solid understanding of the pharmaceutical industry and drug reimbursement processes. You can interpret results of clinical and health economic studies independently, and lead the implementation of simulation-based cost-effectiveness analyses in R and Excel/VBA.
Modelling Research Experience: You have experience planning, programming and reporting R-based and Excel-based cost-effectiveness simulation models and applied knowledge of statistical methods in health economics. You can evaluate studies to identify key result drivers, assess data or methodological gaps and suggest solutions.
Deliverable Creation: You can program independently economic models in R and Excel/VBA from scratch, and contribute to the development of client-ready study deliverables including model conceptualization and analysis plans, interpretations of model results and sensitivity analyses, and technical reports.
Technical Proficiency: You demonstrate passion and expertise in R programming applied to health economic simulation modelling, as well as data analysis and visualization. You are proficient with collaborative versioning software (i.e., git/GitHub). You are an expert in Excel and Visual Basic for Applications (VBA) programming. You are skilled in preparing written documentation and presenting results using Microsoft Word and PowerPoint.
Effective Communication: You can present progress and results clearly to both technical and non-technical audiences, either internally or externally.
Project and Time Management: You ensure timely delivery of project components, can work effectively individually and as part of a diverse team and have excellent independent organizational and time management skills.
Required Experience and Competencies:
Master’s degree in health economics or statistics, or a related discipline
Minimum of 4 years of relevant professional experience, ideally in a consulting environment serving biotech, pharmaceutical or healthcare clients
Proven R programming skills, experience with programming cost-effectiveness simulation models in R
Understanding of and experience in the application of statistical methods in health economics, e.g., parametric survival regression model extrapolation, network meta-analyses, probabilistic sensitivity analyses
Willingness and desire to learn and share knowledge
Strong multi-tasking and time management skills
Highly developed analytical reasoning and problem-solving skills
Ability to work effectively individually and as part of a diverse team
Helpful Experience and Competencies:
Experience with Python, C++ or other programming languages
Experience with the hesim, shiny, Rcpp R packages
Experience with Bayesian statistics and advanced modelling techniques
Knowledge and experience in conducting indirect treatment comparisons such as network meta-analysis, matching-adjusted indirect comparison, and simulated treatment comparison
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