> Markdown version of [/jobs/ext/4532218-principal-clinical-data-science-lead](https://www.wearedevelopers.com/jobs/ext/4532218-principal-clinical-data-science-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Clinical Data Science Lead - **Company:** ICON plc - **Location:** UK (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Clinical Data Management, Clinical Data Repository, Databases, Coherent Remote File System (CRFS), Data Validation, Data Cleansing, Data Control, Database Storage Structures, Metadata, SAS (Software), Information Technology, Data Management - **Published:** November 3, 2026 - **Apply:** https://dejobs.org/x/x/63CD91EB23614D509FAAF64B95B7A4BE/job/ ## About the Role * Bachelor's degree or equivalent in Natural Sciences, Informatics, Medical Documentation , or a related discipline. * 5+ years of experience as a Clinical Data Manager , with significant responsibility within clinical projects and study teams. * Strong understanding of the drug development process and extensive experience with clinical data management methodologies and technologies. * Proven experience managing clinical data from study start-up through to clean database declaration . * Experience working within global, cross-functional teams and collaborating with functions such as Study Management, Medical, EDC Development, Statistics and Medical Writing . * Demonstrated ability to interpret Clinical Study Protocols, Statistical Analysis Plans and Medical Review Plans and translate these into appropriate data management specifications. * Experience developing specifications including CRFs, metadata, protocol deviation documents and edit check specifications . * Good understanding of relevant clinical research regulations and guidelines, including ICH and GCP . * Experience training and/or mentoring junior Data Management colleagues, with the ability to provide guidance and act as an escalation point. * Experience working within and helping lead global, cross-functional teams towards key study milestones such as First Patient First Visit readiness and timely clean database declaration . * Strong written and verbal communication skills in English, with fluent spoken English required, alongside strong local-language communication skills. ## Description * Leading Clinical Data Management activities across assigned studies, from study start-up through to database closure and clean database declaration. * Providing oversight and guidance to Data Management staff assigned to specific protocols, including mentoring and training less experienced colleagues. * Acting as an experienced Clinical Data Management resource for global, cross-functional study teams and serving as an escalation point for study-related data management matters. * Developing and maintaining study-specific data management components and specifications, including eCRFs, study metadata, edit checks, Data Validation Documents and protocol deviation documentation . * Collaborating with EDC developers on the specification and design of eCRFs and database structures and contributing to EDC User Acceptance Testing (UAT). * Managing data cleaning activities, including identifying and issuing queries, incorporating query responses, tracking query status and performing consistency checks on external data. * Coordinating SAS programming requirements for edit checks and derivations and contributing to the preparation of data monitoring activities. * Preparing data listings and extracts to support medical reviews, study reporting and other cross-functional activities. * Developing and coordinating database closure plans and ensuring database closure activities are effectively communicated and delivered across the study team. * Identifying and communicating issues that could impact study timelines or data quality and working collaboratively with study teams to address them. * Ensuring Clinical Data Management activities are appropriately documented throughout the lifecycle of the study. * Supporting training and education initiatives for Data Management colleagues to promote quality, productivity and consistent working practices.