Health Economics & Outcomes Research (HEOR) Consultant

Health Economics & Outcomes Research (HEOR) Consultant Responsible for all statistical aspects of research conducted by the HEOR function, including statistical input into study design, the analysis and reporting plan, and the analysis and interpretation of results. Works independently and as part of a multifunctional team to develop final statistical analysis plans (SAP), tables and listing shells. Provides statistical expertise to in‑house departmental and corporate projects and initiatives.

Key Responsibilities Provides analytical and methodological expertise on studies for the HEOR function Evaluates and explores the implementation of innovative statistical methods in support of HEOR research Provides analytical and statistical support on HEOR research performed within claims data, EMR data, clinical trial data, and registry data Provides statistical contributions, reviews and quality control of protocols, analysis plans, tables, figures, listing shells, database specifications, and other key study‑related documentation Ensures timeliness and adequate quality for all deliverables for the assigned tasks Works closely with HEOR principals to design HEOR studies and select appropriate data (e.g., eCRF design, database design, registry data) Contributes to analysis sections in manuscripts and publications Provides statistical analysis of individual study projects using SAS and/or other suitable software Interfaces with members of the HEOR study teams May contribute to strategy on signal detection capabilities for use in the analysis of pre‑marketing and post‑marketing adverse event databases, quantitative analysis of product benefit‑risk profiles May provide analytical statistical support to clinical trials conducted in Clinical Research Works collaboratively within and across project teams Serves as a subject matter expert in own field within the department and broader organization Minimum Basic Qualifications PhD/MSc. in Statistics, Mathematics, Epidemiology or related field with a substantial statistical component 7 years of relevant experience including 5 years working as a statistician within the pharmaceutical industry Proficient data analysis and computer programming skills in advanced statistical software packages, e.g., SAS, SPSS Comprehensive understanding of clinical development strategies and trial designs Strong organizational skills and ability to adapt to changing profiles Expert analytical skills Experience with claims and EMR data Excellent written and oral communication skills and ability to build strong relationships Ability to work collaboratively with colleagues and project leads for the benefit of the business overall Aptitude for attention to detail Expert ability to compile, analyze and present data in a clear and concise manner Ability to prioritize and effectively manage several projects simultaneously Preferred Qualifications and Experience Experience with Health Economics/Payer Analytics deliverables and techniques, and with the role of statistics in optimizing those deliverables Systematic literature review and synthesis of clinical evidence from both trials and observational data sources, including the use of Bayesian techniques (e.g., meta‑analysis, indirect and mixed treatment comparisons) Modeling and extrapolation of clinical trials data to the real world setting (e.g., extrapolation of time‑to‑event curves, accounting for the impact of treatment switch (crossover)) Analyses of patient reported outcomes and patient preferences of health states Excellent process and project management skills, including the ability to manage a significant volume of projects with good triage and judgment skills Strong knowledge of regulatory and commercial compliance issues relating to conducting research and disseminating scientific information #J-18808-Ljbffr