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.

• Partner with health economists, statisticians, and researchers on innovative global projects for pharmaceutical and biotech clients.

• Independently interpret results from clinical and health economic studies.

• Spearhead the execution of simulation-based cost-effectiveness analyses using R and Excel/VBA.

• Design, implement, and report cost-effectiveness simulation models in R and Excel.

• Assess studies to pinpoint key result drivers and identify data or methodological gaps.

• Propose solutions to address data or methodological deficiencies.

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

• Evaluate and interpret model outcomes and sensitivity analyses.

• Compile technical reports and documentation.

• Conduct data analysis and visualization.

• Communicate progress and results to both technical and non-technical stakeholders, internally and externally.

• Ensure timely completion of project components.

• Operate independently as well as collaboratively within a diverse team.

⛳️ Requirements

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

• A minimum of 4 years of applicable professional experience, preferably in a consulting environment serving biotech, pharmaceutical, or healthcare clients.

• Strong background in health economics, statistics, or a related discipline.

• Experience in Health Economics and Outcomes Research (HEOR).

• Comprehensive understanding of the pharmaceutical industry and drug reimbursement processes.

• Capability to independently interpret clinical and health economic study findings.

• Proficiency in leading simulation-based cost-effectiveness analyses using R and Excel/VBA.

• Experience in planning, programming, and reporting on R-based and Excel-based cost-effectiveness simulation models.

• Practical knowledge of statistical methods in health economics, including parametric survival regression model extrapolation, network meta-analyses, and probabilistic sensitivity analyses.

• Demonstrated R programming skills and experience in developing cost-effectiveness simulation models in R.

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

• Familiarity with git/GitHub.

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

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

• Ability to clearly present progress and results to both technical and non-technical audiences.

• Strong multi-tasking and time management abilities.

• Well-developed analytical reasoning and problem-solving capabilities.

• Capacity to work efficiently both individually and as part of a diverse team.

• Willingness to learn and share knowledge enthusiastically.

• Preferred: experience with Python, C++, or other programming languages.

• Preferred: experience with hesim, shiny, and Rcpp R packages.

• Preferred: experience in Bayesian statistics and advanced modeling techniques.

• Preferred: knowledge and experience with conducting indirect treatment comparisons, including network meta-analysis, matching-adjusted indirect comparison, and simulated treatment comparison.

• Candidates must possess legal authorization to work in the country of employment without the need for 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 that is genuinely passionate about Health Economics and Outcomes Research (HEOR) and takes pride in being visionary leaders in the field.

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

• Equal Opportunity Employer.

• Reasonable accommodations available for applicants with disabilities.

• AI opt-out option during the application process.