Senior Clinical Data Manager
hace 6 días
We are seeking a highly skilled Senior Clinical Data Manager to join our Data Monitoring, Management and Innovation department. As a key member of our Clinical Data Management team, you will play a crucial role in ensuring the integrity, accuracy, and completeness of clinical trial data.
Key Responsibilities- Deliver Clinical Data Management Excellence: Accountable for all Clinical Data Management related deliverables in assigned global (Phase I-IIIb) trials of varying complexity.
- Define and Execute Data Strategies: Define and execute risk-based data collection, cleaning and quality assurance strategies for eCRF and external data (including coding).
- Ensure Data Quality and Integrity: Ensure the accuracy, integrity, and completeness of clinical trial data through comprehensive data review and validation activities.
- Represent Clinical Data Management: Represent Clinical Data Management within the Core Trial Team and serve as a key point of contact for the Data Management related tasks in a trial/project/program.
- Ensure Submission Readiness: Ensure quality of clinical database/deliverables (incl. eCRF and external data) as well as submission readiness of the clinical data management deliverables and data packages (e.G. CDISC).
- Provide Project Management: Provide project management for all clinical data management related deliverables e.G. planning timelines and resources, risk identification and management, status tracking, internal and external stakeholder management etc.
- Manage Vendor Performance: Manage and oversee CRO and vendor performance, including participation in selection/assessment and budget management as required, for assigned trial(s).
- Contribute to Data Management SOPs: Contribute to the development and maintenance of data management SOPs, work instructions, and best practices.
We are looking for a highly skilled and experienced Senior Clinical Data Manager with a Bachelor's or Master's degree in a scientific or technical discipline, preferably in life sciences, data management, or a related field.
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