• Design and maintain normalized data structures for product reporting. • Develop advanced Power BI dashboards (DAX, calculated tables, measures). • Integrate ADO, SharePoint, and Microsoft Insights data sources. • Automate data pipelines where possible. • Establish data quality monitoring standards. • Partner with Product Managers to define KPIs and success metrics. • Responsible for designing, implementing and maintaining Power Automate flows. • Assist Project Managers and Product Managers in gathering data regarding products and services across initiatives within the digital transformation team. • Assist in compiling presentations, visuals and metric for departmental level, leadership and board level meetings. • Assist in auditing data across products’ usage, adoption and scalability across operating business. • Contributing and creating internal training.

Job Description Job Summary: 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 a Senior Manager 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 Senior Manager will be to support the HEOR disease/asset teams in real-world observational and claims data research activities. The Senior Manager will support 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 Senior Manager is expected to provide methodological expertise to research design, including drafting study protocols and analysis plans and developing code lists and table shells. The Senior Manager will work with a team of statistical programmers through the execution of data queries and analyses. The Senior Manger 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 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 - Support development of protocols and statistical analysis plans, including table shells and code compilation - Support 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 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 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) - Experience analyzing large patient-level data and conducting statistical analyses within health databases, including open and closed claims, EHR/EMR data, and hospital chargemaster data (e.g., MarketScan, Premier, DRG) - Working knowledge of relevant national healthcare systems; experienced with diagnostic, procedure, drug, and healthcare coding systems - Advanced skills with SAS programming and Excel required - 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 Pay Range: $148,000 - $222,000 Disclosure Statement: The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law. At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more. Flex Designation: Remote-Eligible Flex Eligibility Status: In this Remote-Eligible role, you can choose to be designated as: 1. Remote: work remotely five days per week and come into the office on occasion – you’re always welcome on-site; or select 2. Hybrid: work remotely up to two days per week; or select 3. On-Site: work five days per week on-site with ad hoc flexibility. Note: The Flex status for this position is subject to Vertex’s Policy on Flex @ Vertex Program and may be changed at any time. #LI-Remote Company Information Vertex is a global biotechnology company that invests in scientific innovation. Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com

• Help our communities thrive as a key member of the Technology Team • Leverage AI-powered tooling, MCP-enabled integrations, and prompt-based development in day-to-day workflow • Data Quality & Preparation — ensuring clean, well-organized data for analysis • Designing and maintaining data structures for business questions • Delivering reports, dashboards, and visualizations efficiently • Building and maintaining integrated views of data from multiple sources • Maintaining consistent definitions and documentation across the data team • Using and championing AI-powered tools within workflow • Training analysts and stakeholders on data tools • Leading analytics projects and managing milestones

• Play a critical role in the design, implementation, and delivery of modern digital measurement and data solutions • Implement and manage digital analytics platforms, event tracking frameworks, customer data platforms, and data pipelines • Work closely with marketing teams, engineers, and data stakeholders to ensure reliable, scalable, and accurate data collection • Take initiative, work well with little guidance and enjoy solving complex technical problems • Translate business and marketing requirements into scalable tracking and measurement architectures • Communicate technical measurement concepts clearly to both technical teams and marketing stakeholders