HEOR Ops & Analytics Associate Director

Vertex Inc.

9d•$172,000 - $258,000•Hybrid

About The Position

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 Associate Director role is within HEOR’s Analytics Center of Excellence (CoE), a specialized team that provides strategic and technical support to HEOR, Market Access & Pricing, and the broader commercial organization. In this role, the Associate Director will primarily support HEOR disease/asset teams in real-world observational and claims data research activities. The Associate Director will support colleagues looking to answer key 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’ patient populations. The Associate Director is also expected to provide methodological expertise to research design, including development of study protocols, analysis plans, and table shells. This role will work closely with a team of statistical programmers to lead the execution of data queries and analyses. The Associate Director may also provide input to global product value strategy and tactics as well as provide input to design and interpretation of post-hoc clinical trial analyses and evidence generation studies.

Requirements

Advanced degree in health economics or a related quantitative discipline (such as mathematics, statistics, economics, epidemiology)
Typically requires 8 years of relevant experience in health economics and outcomes research, or the equivalent combination of education and experience (e.g., Doctorate degree and 4 years of experience, Master’s degree and 6 years of experience)
Strong 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
Demonstrated experience applying claims-based analytic methods in epidemiologic research, including disease prevalence estimation and evaluation of patient populations, using real-world data sources
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
Ability to navigate and succeed in a fast-paced, dynamic, and collaborative team-based environment

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.
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