<p> </p> <p>Do you consider yourself a self-starter with a real passion for projects involving <strong>innovative methods in health economics</strong> and evidence synthesis? Do you love collaborating, moving the ball forward, and rolling up your sleeves? Are you a <strong>health economist</strong> with a passion for <strong>R programming</strong>?</p> <p>If so – we want to talk to you! We are growing and seeking a <strong>Senior Research Scientist</strong> with experience in <strong>building</strong> <strong>health economic models in R</strong> to join our Evidence Synthesis and Decision Modelling team.
You will collaborate with a <strong>highly specialized team</strong> of health economists, statisticians and researchers in global, methodologically innovative projects for our pharma and biotech clients.
</p> <p><strong>Why join us?</strong></p> <ul> <li><strong>Innovative Culture</strong>: Experience the excitement of a start-up within a well-funded, established global organization.
</li> <li><strong>Passionate Team</strong>: 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.
</li> <li><strong>Growth Opportunities</strong>: Be part of a growing team that values collaboration and making a real difference in healthcare.
</li> </ul> <p><strong>.
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.
</li> <li><strong>Modelling Research Experience</strong>: You have experience planning, programming and reporting R-based and Excel-based cost-effectiveness simulation models and applied kno.