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 projects focused on evidence synthesis and decision modeling.

• Collaborate with health economists, statisticians, and researchers on innovative global projects that push methodological boundaries.

• Design, program, and document cost-effectiveness simulation models utilizing both R and Excel.

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

• Produce client-ready deliverables for studies, encompassing model conceptualization and analysis plans.

• Analyze model outcomes and perform sensitivity analyses.

• Create technical reports and comprehensive written documentation.

• Conduct data analysis and visualization.

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

• Ensure the timely completion of project elements while functioning both 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 setting that serves biotech, pharmaceutical, or healthcare clients.

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

• Knowledge and experience in applying statistical techniques in health economics, including parametric survival regression model extrapolation, network meta-analyses, and probabilistic sensitivity analyses.

• Familiarity with data analysis and statistical methodologies in HTA, JCA, and/or regulatory submissions, including survival analysis and indirect treatment comparison.

• Understanding of HTA and/or regulatory reimbursement frameworks.

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

• Capability to independently interpret results from clinical and health economic studies.

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

• Proficiency in using collaborative version control tools such as Git/GitHub.

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

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

• Skill in clearly communicating progress and results to both technical and non-technical audiences.

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

• Capacity to work autonomously and as part of a diverse team.

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

• Desirable: familiarity with hesim, shiny, and Rcpp R packages.

• Desirable: experience with Bayesian statistics and advanced modeling techniques.

• Desirable: knowledge and experience in performing indirect treatment comparisons, such as network meta-analysis, matching-adjusted indirect comparison, and simulated treatment comparison.

• Legally authorized 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: Join a team dedicated to Health Economics and Outcomes Research (HEOR).

• Growth Opportunities: Become a part of a growing team that values collaboration and aims to make a significant impact in healthcare.