Senior Migration Consultant - Clinical Data Programming

About this role

Job Title: Senior Migration Consultant - Clinical Data Programming Job Location: Boston, MA Job Location Type: Remote Job Contract Type: Full-time Job Seniority Level: Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities. The Role Veeva's Vault Clinical Data Management System (CDMS) is changing how life sciences companies manage clinical trial data, bringing EDC, coding, and Data Quality System (DQS) together in one platform. The Migration Team works within this group, focusing on migrating customers off legacy systems—such as Medidata Rave and Oracle InForm—into Vault CDMS. We are looking for a Senior Migration Consultant with hands-on experience programming and processing extremely large clinical datasets . In this full-time, customer-facing role , you will serve as a trusted, customer-facing technical lead, partnering directly with Sponsors throughout active migration programs. What You’ll Do Partner directly with Sponsors and CROs to interpret legacy clinical database structures, protocol specifications, and data mapping requirements, applying Veeva migration best practices. Perform data transformation, mapping, and script validation on large, complex clinical datasets extracted from legacy platforms (e.g., Medidata Rave, Oracle InForm). Lead end-to-end data migration delivery across complex, active clinical trials per the project plan, coordinating closely with cross-functional technical teams. Develop and configure validation scripts, and custom SQL-based listings to ensure data integrity, auditability, and cleanliness during ingestion into Veeva DQS and Vault CDMS. Provide feedback to the Vault CDMS & DQS product teams based on real-world customer migration challenges, data volume bottlenecks, and client requirements. Contribute to reusable migration tools, data mapping templates, and automation initiatives , mentoring junior team members throughout the migration lifecycle. Requirements 5+ years of experience with EDC clinical software, covering end-to-end data management (database design, data collection, data analysis, query resolution, datasets, statistical reporting) Solid understanding of clinical trial processes, particularly around data collection and review Programming experience in languages such as SAS, R, Python, or SQL, with the ability to pick up new SQL-based languages Background in the life sciences industry (pharma, biotech, medical device, CRO, or academic/public health), with experience across project assessment, planning, development, training, and implementation Experience in a customer-facing role, ideally within software professional services or consulting Ability to work independently and collaboratively in a fast-paced, dynamic environment while meeting project timelines Strong verbal and written communication, interpersonal, and presentation skills Willingness to travel up to 10%, potentially including international travel Nice to Have Knowledge of DBT Familiarity with data management standards (GCDMP, CDISC, SDTMIG, CDASH, ADaM) Experience working with system integrators for IVRS, medical coding, eSource, CTMS, eTMF, or similar clinical technologies Experience integrating or programming with RE

Skills and categories