Senior Research Scientist Health Economics and Decision Modelling

Do you consider yourself a self-starter with a real passion for projects involving innovative methods in health economics and evidence synthesis? Do you love collaborating, moving the ball forward, and rolling up your sleeves? Are you a health economist with a passion for R programming? If so – we want to talk to you!  We are growing and seeking a Senior Research Scientist with experience in building health economic models in R to join our Evidence Synthesis and Decision Modelling team. You will collaborate with a highly specialized team of health economists, statisticians and researchers in global, methodologically innovative projects for our pharma and biotech clients. Why join us? 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. About you: Experienced Health Economist: You have a background in health economics, statistics or a related field, HEOR experience, and a solid understanding of the pharmaceutical industry and drug reimbursement processes. You can interpret results of clinical and health economic studies independently, and lead the implementation of simulation-based cost-effectiveness analyses in R and Excel/VBA. Modelling Research Experience: You have experience planning, programming and reporting R-based and Excel-based cost-effectiveness simulation models and applied knowledge of statistical methods in health economics. You can evaluate studies to identify key results and... Please mention the word **AFFABILITY** and tag RMjAzLjExMC4yNDIuMzA= when applying to show you read the job post completely (#RMjAzLjExMC4yNDIuMzA=). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.