Principal HEOR Economist

Master's degree, PhD, PharmD, MD, or related fields of study, including formal training in health economics, Pharmacoeconomics/pharmaceutical Economics, public health, health services research, epidemiology, biostatistics, or a related discipline. 7+ years of relevant experience in HEOR, preferably with experience working with new medical technologies in Cardiology, medical devices, pharmaceuticals, or biotechnology. Proven track record of building and delivering administrative claims database analysis through abstracts/publications and/or interactive model applications in the medical device industry. History of developing, authoring, and presenting peer-reviewed publications and abstracts. Proven track record of presenting peer-reviewed evidence at clinical and industry conferences. Demonstrated success in developing HEOR evidence strategies aligned with business needs, including the ability to influence senior leadership. Practical experience and expertise in using statistical analysis software (e.g., SPSS, SAS, Instant Health Data (IHD), STATA, R) and statistical methodologies (e.g., logistic regression, generalized linear mixed models). Understanding of global and US healthcare reimbursement, policy, health technology assessment (HTA), pricing, and market landscape assessments, including evaluation of evidence for coverage decisions. Strong communication skills and experience developing interpersonal relationships with internal and external stakeholders across multiple functional areas. Demonstrated ability to make effective decisions independently and to work in a fast-paced matrix environment with minimal supervision. 10+ years relevant experience in HEOR, preferably with experience working with medical devices, Cardiology, pharmaceuticals, or biotechnology. Successful first or last authorship on multiple peer-reviewed publications and abstracts. Proven track record of building and delivering health economic modeling outputs, including retrospective cohort analysis, cost-effectiveness analyses, and budget impact models. Practical experience and expertise in using decision analysis software (Excel, Visual Basic for Applications/VBA, TreeAge, R).