<p>&nbsp;</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!&nbsp; 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>About you:</strong></p> <ul> <li><strong>Experienced Health Economist</strong>: 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
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