Senior Research Scientist, Health Economic Modelling

About the role

<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 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 knowledge of statistical methods in health economics. You can evaluate studies to identify key result drivers, assess data or methodological gaps and suggest solutions.</li> <li><strong>Deliverable Creation</strong>: You can program independently economic models in R and Excel/VBA from scratch, and contribute to the development of client-ready study deliverables including model conceptualization and analysis plans, interpretations of model results and sensitivity analyses, and technical reports.</li> <li><strong>Technical Proficiency</strong>: You demonstrate passion and expertise in R programming applied to health economic simulation modelling, as well as data analysis and visualization. You are proficient with collaborative versioning software (i.e., git/GitHub). You are an expert in Excel and Visual Basic for Applications (VBA) programming. You are skilled in preparing written documentation and presenting results using Microsoft Word and PowerPoint.</li> <li><strong>Effective Communication</strong>: You can present progress and results clearly to both technical and non-technical audiences, either internally or externally.</li> <li><strong>Project and Time Management</strong>: You ensure timely delivery of project components, can work effectively individually and as part of a diverse team and have excellent independent organizational and time management skills.</li> </ul> <p><strong>Required Experience and Competencies:</strong></p> <ul> <li>Master’s degree&nbsp;in&nbsp;health economics or statistics, or a related discipline</li> <li>Minimum of 4 years of relevant professional experience, ideally in a consulting environment serving biotech, pharmaceutical or healthcare clients</li> <li>Proven R programming skills, experience with programming cost-effectiveness simulation models in R</li> <li>Understanding of and experience in the application of statistical methods in health economics, e.g., parametric survival regression model extrapolation, network meta-analyses, proba

Skills