Senior Research Scientist, Health Economic Modelling

PRECISIONvalue

. Build health economic models in R for the Evidence Synthesis and Decision Modelling team .

Posted 11/4/2026full-timeRemote • United KingdomSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building health economic models using R and Excel/VBA, with a strong background in health economics and statistics. Capable of interpreting clinical study results and leading cost-effectiveness analyses while effectively communicating findings to diverse audiences.

Highest-signal resume keywords

R Programming SkillsCost-Effectiveness AnalysisHealth Economics ExpertiseExcel/VBA Programming SkillsStatistical Methods in Health Economics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Health Economic ModelingSimulation-Based Cost-Effectiveness AnalysisStatistical MethodsData AnalysisSensitivity AnalysisModel ConceptualizationParametric Survival RegressionNetwork Meta-AnalysisProbabilistic Sensitivity AnalysisEconomic Model Programming

Soft Skills

Analytical ReasoningProblem-SolvingTime ManagementMulti-TaskingCollaboration

Tools & Technologies

RExcelVBAGit/GitHubMicrosoft WordMicrosoft PowerPointHesimShinyRcppPython

Industry Keywords

Health EconomicsPharmaceutical IndustryDrug Reimbursement ProcessesHEORConsulting EnvironmentBiotechHealthcare ClientsClinical Study ResultsIndirect Treatment ComparisonsAdvanced Modelling Techniques

Tech Stack

Tools & technologies

PythonVBAC++

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 for pharmaceutical and biotech clients
Interpret clinical and health economic study results independently
Lead implementation of simulation-based cost-effectiveness analyses in R and Excel/VBA
Plan, program and report R-based and Excel-based cost-effectiveness simulation models
Evaluate studies to identify key result drivers and assess data or methodological gaps
Suggest solutions to data or methodological gaps
Develop client-ready study deliverables, including model conceptualization and analysis plans
Analyze and interpret model results and sensitivity analyses
Prepare technical reports and written documentation
Analyze and visualize data
Present progress and results to technical and non-technical audiences, internally and externally
Ensure timely delivery of project components
Work independently and as part of 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
Background in health economics, statistics or a related field
HEOR experience
Solid understanding of the pharmaceutical industry and drug reimbursement processes
Ability to independently interpret clinical and health economic study results
Ability to lead simulation-based cost-effectiveness analyses in R and Excel/VBA
Experience planning, programming and reporting R-based and Excel-based cost-effectiveness simulation models
Applied knowledge of statistical methods in health economics, including parametric survival regression model extrapolation, network meta-analyses and probabilistic sensitivity analyses
Proven R programming skills and experience programming cost-effectiveness simulation models in R
Ability to program economic models independently in R and Excel/VBA from scratch
Proficiency with git/GitHub
Expert Excel and Visual Basic for Applications (VBA) programming skills
Skills in preparing written documentation and presenting results using Microsoft Word and PowerPoint
Ability to present progress and results clearly to technical and non-technical audiences
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
Willingness and desire to learn and share knowledge
Helpful: experience with Python, C++ or other programming languages
Helpful: experience with hesim, shiny and Rcpp R packages
Helpful: experience with Bayesian statistics and advanced modelling techniques
Helpful: knowledge and experience conducting indirect treatment comparisons, including network meta-analysis, matching-adjusted indirect comparison and simulated treatment comparison
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
Equal Opportunity Employer
Reasonable accommodation available for applicants with disabilities
AI opt-out option during the application journey