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Senior Research Scientist, Health Economic Modelling
Precision Medicine Group. Build health economic models in R for the Evidence Synthesis and Decision Modelling team .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building health economic models using R and Excel, with a strong understanding of statistical methods in health economics. Capable of leading cost-effectiveness analyses and effectively communicating results to diverse audiences.
Highest-signal resume keywords
R Programming SkillsCost-Effectiveness Simulation ModelsHealth Economics ExpertiseExcel/VBA ProgrammingStatistical Methods Application
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
R ProgrammingCost-Effectiveness AnalysisStatistical MethodsData AnalysisModel EvaluationSimulation ModelingBayesian StatisticsAdvanced Modelling TechniquesIndirect Treatment ComparisonsProgramming in Python
Soft Skills
Analytical ReasoningProblem-SolvingTime ManagementMultitaskingEffective Communication
Tools & Technologies
ExcelVisual Basic for Applications (VBA)Git/GitHubMicrosoft WordMicrosoft PowerPointHesim R PackageShiny R PackageRcpp R Package
Industry Keywords
Health EconomicsPharmaceutical IndustryBiotechHealthcare ClientsDrug Reimbursement ProcessesConsulting EnvironmentEvidence SynthesisDecision Modelling
Tech Stack
Tools & technologiesPythonVBAC++
About the role
Key responsibilities & impact- Build health economic models in R for the Evidence Synthesis and Decision Modelling team
- Collaborate with health economists, statisticians, and researchers on global, methodologically innovative projects
- Serve pharmaceutical and biotech clients
- Plan, program, and report R-based and Excel-based cost-effectiveness simulation models
- Lead implementation of simulation-based cost-effectiveness analyses in R and Excel/VBA
- Evaluate studies, identify key result drivers, assess data or methodological gaps, and suggest solutions
- Create client-ready study deliverables, including model conceptualization and analysis plans
- Interpret model results and sensitivity analyses
- Prepare technical reports and written documentation
- Analyze and visualize data
- Present project progress and results to technical and non-technical audiences
- Deliver project components on time while working independently and with a diverse team
Requirements
What you’ll need- 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
- Experience planning, programming and reporting R-based and Excel-based cost-effectiveness simulation models
- Experience with health economics, statistics or a related field, HEOR, pharmaceutical industry and drug reimbursement processes
- Ability to interpret clinical and health economic studies independently
- Ability to lead implementation of simulation-based cost-effectiveness analyses in R and Excel/VBA
- Ability to evaluate studies, identify key result drivers, assess data or methodological gaps and suggest solutions
- Ability to program economic models independently in R and Excel/VBA from scratch
- Proficiency with Git/GitHub
- Expertise in Excel and Visual Basic for Applications (VBA) programming
- Skill in preparing written documentation and presenting results using Microsoft Word and PowerPoint
- Experience with Python, C++ or other programming languages is helpful
- Experience with the hesim, shiny, and Rcpp R packages is helpful
- Experience with Bayesian statistics and advanced modelling techniques is helpful
- Knowledge and experience in indirect treatment comparisons is helpful
- Ability to communicate progress and results to technical and non-technical audiences
- Strong multitasking, time management, analytical reasoning, and problem-solving skills
- Ability to work effectively individually and as part of a diverse team
- Candidates must be legally authorized to work in the country of employment without employer sponsorship
Benefits
Comp & perks- Innovative Culture: Experience the excitement of a start-up within a well-funded, established global organization.
- Passionate Team: Work with a team that has a real passion for Health Economics and Outcomes Research (HEOR) and prides itself on being visionary leaders in the field.
- Growth Opportunities: Be part of a growing team that values collaboration and making a real difference in healthcare.