Analytics CoE Senior Manager

Key Responsibilities

• Leverage Vertex’s in-licensed RWE data assets to conduct queries and analyses to support the Vertex product portfolio and development programs across a range of therapeutic and disease areas.
• Research initiatives include the following:
• Conduct feasibility assessments to inform design and execution of research projects
• Conduct health economic and outcomes research to better characterize disease burden, healthcare resource utilization, co-morbidities, and treatment patterns in ‘real world’ populations
• Generate actionable insights to address key business questions from internal and external stakeholders
• Lead the development of study protocols, statistical analysis plans, and table shells
• Support statistical programmers through the execution of data queries and analyses
• Generate analytic reports, tables, and visualizations to communicate research findings effectively to internal stakeholders
• Collaborate with cross-functional colleagues to improve efficiency of current analytics operating model
• Contribute to the development, enhancement, and maintenance of internal analytic tools (e.g., programming libraries, reusable macros, table templates), to support the quality and consistency of data and analyses
• Support HEOR disease/asset leads in assessment of research gaps and evidence generation objectives that may be addressed through observational research

Qualifications

• Advanced degree in health economics or a related discipline (such as mathematics, statistics, economics, epidemiology)
• Typically requires 6 years of relevant experience in health economics and outcomes research, or the equivalent combination of education and experience (e.g., Doctorate degree and 2 years of experience, Master’s degree and 4 years of experience)
• Knowledge of observational research methods and their application to studies assessing disease burden, healthcare resource utilization, treatment patterns, comorbidities, and health outcomes studies in real-world patient populations
• Hands-on experience analyzing large patient-level healthcare datasets, including open and closed claims, EHR/EMR data, and hospital chargemaster data (e.g., MarketScan, PharMetrics Plus, eLAAD+, Premier)
• Working knowledge of national healthcare coding systems, including diagnostic, procedure, and drug coding, as well as relevant healthcare system structures
• Advanced proficiency in SAS programming and Excel required
• Excellent written and oral communication skills, including the ability to clearly convey complex analytic findings to both technical and non-technical audiences
• Ability to plan, organize, and manage multiple projects simultaneously in different therapeutic areas