Senior Research Scientist, Health Economic Modelling

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Research Scientist, Health Economic Modelling based in United Kingdom.

This senior role offers the opportunity to contribute to innovative health economics and evidence synthesis projects supporting pharmaceutical, biotech, and healthcare clients. You will work within a highly specialized team of health economists, statisticians, and researchers on complex, methodologically advanced studies. A key focus will be designing and implementing health economic simulation models in R and Excel/VBA. You will translate clinical and economic evidence into robust analyses, actionable insights, and client-ready deliverables. The position combines technical modelling expertise with research, problem-solving, communication, and project ownership. It is well suited to an experienced health economist who enjoys collaborative consulting environments and wants to contribute to impactful healthcare decision-making.

Accountabilities

• Plan, develop, program, analyze, and report health economic and cost-effectiveness simulation models using R and Excel/VBA.
• Independently build economic models from scratch, ensuring that methodologies, assumptions, calculations, and outputs are robust and appropriately documented.
• Contribute to model conceptualization, analysis plans, interpretation of results, sensitivity analyses, and technical reports for client-facing projects.
• Apply statistical methods relevant to health economics, including parametric survival regression extrapolation, network meta-analysis, and probabilistic sensitivity analysis.
• Evaluate clinical and health economic evidence to identify key drivers of results, methodological limitations, data gaps, and opportunities for improvement.
• Support evidence synthesis and decision-modelling projects across pharmaceutical, biotech, and healthcare engagements.
• Analyze and visualize data using R and other appropriate analytical tools, translating complex findings into clear conclusions for technical and non-technical audiences.
• Prepare high-quality presentations, written documentation, reports, and other study deliverables using tools such as Microsoft Word and PowerPoint.
• Communicate project progress, analytical findings, and recommendations clearly with internal teams and external stakeholders.
• Manage assigned project components, timelines, priorities, and deliverables while working independently and collaboratively within multidisciplinary teams.
• Contribute to a culture of knowledge sharing by supporting colleagues, exchanging modelling expertise, and staying current with developments in health economics and statistical methods.

Requirements

• Master’s degree in health economics, statistics, or a related quantitative discipline.
• At least 4 years of relevant professional experience, ideally within a consulting environment supporting pharmaceutical, biotech, healthcare, or related clients.
• Strong professional experience in health economics and outcomes research, with a solid understanding of pharmaceutical markets and drug reimbursement processes.
• Proven ability to program cost-effectiveness and health economic simulation models in R, including developing models independently from scratch.
• Strong Excel and VBA programming skills, with experience planning, implementing, analyzing, and reporting Excel-based economic models.
• Applied knowledge of statistical methods used in health economics, including parametric survival regression model extrapolation, network meta-analysis, and probabilistic sensitivity analysis.
• Strong analytical reasoning and problem-solving skills, with the ability to critically evaluate studies, identify methodological or data gaps, and develop appropriate solutions.
• Proficiency in R for health economic modelling, data analysis, and visualization, along with experience using Git/GitHub or comparable version-control tools.
• Excellent written and verbal communication skills, with the ability to explain technical results clearly to both specialist and non-specialist audiences.
• Strong organizational and time-management abilities, with the capacity to manage multiple priorities and deliver high-quality work within deadlines.
• Collaborative, proactive, and self-directed approach, combined with a willingness to learn and share knowledge.
• Experience with Python, C++, Bayesian statistics, advanced modelling techniques, or indirect treatment comparisons such as network meta-analysis, matching-adjusted indirect comparison, and simulated treatment comparison is advantageous.
• Familiarity with R packages such as hesim, shiny, or Rcpp is a plus.

Benefits

• Opportunity to work on innovative health economics, evidence synthesis, and decision-modelling projects with pharmaceutical, biotech, and healthcare clients.
• Collaboration with a highly specialized international team of health economists, statisticians, and researchers.
• Exposure to methodologically innovative projects and advanced approaches to health economic modelling.
• Strong opportunities for professional development and expanding expertise across HEOR, statistical modelling, evidence synthesis, and decision analysis.
• Collaborative environment that encourages knowledge sharing, technical ownership, and continuous learning.
• Opportunity to contribute to research and analyses that support healthcare and treatment decision-making.
• Remote working opportunity in the United Kingdom.
• Dynamic environment combining the pace and innovation of a growing organization with the resources and stability of an established global business.