Precision Medicine Group - Senior Research Scientist, Health Economic Modelling
Requirements
• 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 result drivers, assess data or methodological gaps and suggest solutions. • Deliverable Creation: 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. • Deliverable Creation • Technical Proficiency: 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. • Technical Proficiency • Effective Communication: You can present progress and results clearly to both technical and non-technical audiences, either internally or externally. • Effective Communication • Project and Time Management: 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. • Project and Time Management • Master’s degree in health economics or statistics, or a related discipline • Minimum of 4 years of relevant professional experience, ideally in a consulting environment serving biotech, pharmaceutical or healthcare clients • Proven R programming skills, experience with programming cost-effectiveness simulation models in R • Understanding of and experience in the application of statistical methods in health economics, e.g., parametric survival regression model extrapolation, network meta-analyses, probabilistic sensitivity analyses • Willingness and desire to learn and share knowledge • Strong multi-tasking and time management skills • Highly developed analytical reasoning and problem-solving skills • Ability to work effectively individually and as part of a diverse team • Experience with Python, C++ or other programming languages • Experience with the hesim, shiny, Rcpp R packages • Experience with Bayesian statistics and advanced modelling techniques • Knowledge and experience in conducting indirect treatment comparisons such as network meta-analysis, matching-adjusted indirect comparison, and simulated treatment comparison • Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice.
Benefits
• Innovative Culture: Experience the excitement of a start-up within a well-funded, established global organization. • Innovative Culture • 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. • Passionate Team • Growth Opportunities: Be part of a growing team that values collaboration and making a real difference in healthcare. • Growth Opportunities • 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.
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