Senior Research Scientist, Health Economic Modelling

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Develop health economic models using R for the Evidence Synthesis and Decision Modelling team.

• Collaborate with health economists, statisticians, and researchers on innovative global projects.

• Provide services to pharmaceutical and biotech clientele.

• Design, program, and report on cost-effectiveness simulation models utilizing R and Excel.

• Oversee the execution of simulation-based cost-effectiveness analyses in both R and Excel/VBA.

• Assess studies, pinpoint key result drivers, evaluate data or methodological deficiencies, and propose solutions.

• Produce client-ready deliverables, including model conceptualization and analysis plans.

• Analyze model results and conduct sensitivity analyses.

• Draft technical reports and written documentation.

• Analyze and visualize data effectively.

• Communicate project progress and outcomes to both technical and non-technical stakeholders.

• Ensure timely delivery of project components while working independently and as part of a diverse team.

⛳️ Requirements

• Master’s degree in health economics, statistics, or a related field.

• At least 4 years of relevant professional experience, preferably in a consulting role serving biotech, pharmaceutical, or healthcare clients.

• Demonstrated proficiency in R programming, with experience in developing cost-effectiveness simulation models.

• Knowledge of and experience applying statistical methods in health economics, such as parametric survival regression model extrapolation, network meta-analyses, and probabilistic sensitivity analyses.

• Proven ability to plan, program, and report R-based and Excel-based cost-effectiveness simulation models.

• Background in health economics, statistics, or a related field, including HEOR, the pharmaceutical industry, and drug reimbursement processes.

• Capability to independently interpret clinical and health economic studies.

• Skills to lead the implementation of simulation-based cost-effectiveness analyses in R and Excel/VBA.

• Proficiency in evaluating studies, identifying key result drivers, assessing data or methodological gaps, and suggesting solutions.

• Ability to independently program economic models from the ground up in R and Excel/VBA.

• Proficient with Git/GitHub.

• Expertise in Excel and Visual Basic for Applications (VBA) programming.

• Competence in preparing written documentation and presenting results using Microsoft Word and PowerPoint.

• Experience with Python, C++, or other programming languages is advantageous.

• Familiarity with the hesim, shiny, and Rcpp R packages is a plus.

• Knowledge of Bayesian statistics and advanced modeling techniques is beneficial.

• Experience in indirect treatment comparisons is helpful.

• Strong communication skills to convey progress and results to both technical and non-technical audiences.

• Excellent multitasking, time management, analytical reasoning, and problem-solving abilities.

• Capacity to work effectively both independently and as part of a diverse team.

• Candidates must possess legal authorization to work in the country of employment without employer sponsorship.

🏝️ Benefits

• Innovative Culture: Experience the thrill of a start-up within a well-funded, established global organization.

• Passionate Team: Collaborate with a team dedicated to Health Economics and Outcomes Research (HEOR) who are recognized as visionary leaders in the field.

• Growth Opportunities: Join a growing team that values collaboration and aims to make a meaningful impact in healthcare.