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Merck Healthcare is seeking a Senior Clinical Data Manager in Warsaw to lead data management for global Phase I–IV trials. You will implement risk-based data collection, cleaning, review, and reconciliation across EDC and external data sources, while ensuring submission-ready data packages.
You will oversee study data management deliverables, timelines, and CRO/vendor activities, and contribute to ongoing SOPs and best practices, including automation and AI-enabled approaches.
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A great opportunity has opened within the Data Monitoring, Management and Innovation department to further strengthen our Clinical Data Management team. As a Senior Clinical Data Manager, you will play a crucial role in managing and overseeing clinical data management activities within the organization. You will be responsible for ensuring the integrity, accuracy, and completeness of clinical trial data, while also coordinating a team of clinical data management professionals in a matrix setting.
As a Senior Clinical Data Manager (all genders), you will be accountable for the delivery, quality, integrity, and submission-readiness of clinical trial data for assigned global Phase I–IV studies. In this role, you will implement risk-based data collection, cleaning, review, reconciliation, and quality activities across electronic data capture (EDC) and external data sources, while representing Clinical Data Management on the Core Trial Team for assigned studies.
You will lead the project management of all study-level data management deliverables, including timeline planning, resource coordination, risk identification, issue resolution, and stakeholder communication across internal and external partners. You will oversee day-to-day CRO/vendor activities, support compliance with regulatory requirements and industry standards such as CDISC, and help ensure that clinical data packages are complete, accurate, and submission ready. Beyond study execution, you will contribute to the evolution of data management standards, SOPs, best practices, and process improvements, including the effective use of automation, advanced analytics, and AI-enabled solutions where appropriate, while sharing knowledge and supporting the development of colleagues within Clinical Data Management.
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