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Job Description

Vertex is seeking a talented and motivated individual with the desire to be part of a highly innovative company aimed at transforming the lives of people with serious diseases, their families and society. The role is as an Associate Director within HEOR’s Modeling & Analytics Center of Excellence (CoE), a designated group within the HEOR team that provides strategic and technical support to HEOR, Market Access & Pricing, and the broader commercial organization.

The main responsibility of the Associate Director will be to support the HEOR disease/asset teams in real-world observational and claims data research activities. The Associate Director will function as a point person for colleagues looking to answer questions that can be addressed using Vertex’s in-licensed RWE data assets. This includes planning and conducting analyses to inform on questions related to disease prevalence, disease burden and progression, healthcare resource utilization and costs, and treatment patterns in ‘real world’ populations. The Associate Director is expected to provide methodological expertise to research design, including leading the drafting of study protocols and analysis plans, and development of table shells. The Associate Director will also be responsible for managing a team of statistical programmers through the execution of data queries and analyses. The Associate Director may also provide input into global product value strategy and tactics as well as input to design and interpretation of post-hoc clinical trial analyses and evidence generation studies.

The Associate Director will report to the Senior Director of the Modeling & Analytics CoE. The role has flexibility to be in-person, hybrid, or remote.

Key Responsibilities

• Leverage Vertex’s in-licensed RWE data assets to conduct queries and analyses to support the Vertex product portfolio and development therapeutic and disease areas. Research initiatives including the following:
  • Conduct feasibility assessments to inform research projects
  • Conduct health economic and outcome studies to better characterize disease burden, healthcare resource utilization, co-morbidities, and treatment patterns in ‘real world’ populations
  • Generate insights to inform key business questions raised by internal and external stakeholders
• Lead development of protocols and statistical analysis plans
• Manage statistical programmers through execution of data queries and analyses
• Generate analytic reports, tables, and graphics to communicate research findings and present to internal stakeholders
• Collaborate with cross-functional colleagues (IT and other analytic functions) to improve efficiency of current analytic operating model
• Contribute to program library and analytic tools development (e.g., reusable macros, programming templates) and maintenance to ensure quality of data and analyses
• Support HEOR disease/asset leads in assessment of research gaps and objectives that may be supported by observational research
• Potential to participate in development of high-quality presentations for scientific congresses or publications for peer-review

Qualifications

• Advanced degree in health economics or a related discipline (such as mathematics, statistics, economics, epidemiology)
• Typically requires 6-8 years of relevant experience in health economics and outcomes research, or the equivalent combination of education and experience (e.g., Doctorate degree and 2-4 years’ experience, Master’s degree and 4-6 years of experience)
• Experience analyzing patient-level data and conducting statistical analyses within health databases, including open and closed claims, EMR data, hospital chargemaster (e.g., MarketScan, Premier, DRG)
• Working knowledge of relevant national healthcare systems; experienced with diagnostic, procedure, and healthcare coding systems
• Advanced skills with SAS programming and Excel required
• Preference for prior management of statistical programming team
• Excellent communication skills, strong oral/written presentation skills
• Ability to plan, organize, and work on multiple tasks simultaneously in different therapeutic areas
• Ability to navigate and be successful in a fast-paced, dynamic team-based environment

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