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Precision Medicine Group

Senior Research Scientist, Health Economic Modelling

Precision Medicine Group

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

Posted 11/2/2026full-timeRemote • United KingdomSeniorWebsite

Core Competencies

Role fit
Core 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

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Applicant Tracking System Keywords

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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 & 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
  • 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.