Senior Clinical Data Manager (all genders)

Overview

In this role you will own the delivery, quality, and submission-readiness of clinical trial data for global Phase I–IV studies. You’ll implement risk-based data collection and QA across EDC and external sources, represent Data Management on the Core Trial Team, and lead study-level data deliverables and timelines. You’ll oversee CRO/vendor activities, ensure regulatory alignment, and drive data management standardization and automation initiatives. This position offers cross-functional collaboration across a global team and opportunities to shape data practices in healthcare trials.

Pay / Benefits

• diverse and inclusive culture
• flexible working environment
• opportunities for personal and career development
• global collaboration and impact
• culture of inclusion and belonging
• focus on innovation in science and technology

Responsibilities

• Deliver end-to-end data management for global clinical trials (Phase I–IV)
• Implement risk-based data collection, cleaning, reconciliation, and QA across EDC and external data sources
• Represent Clinical Data Management on the Core Trial Team
• Lead study-level data management deliverables, including timelines and resources
• Coordinate CRO/vendor activities and manage operational issues
• Ensure regulatory compliance and submission-ready data packages
• Support adherence to CDISC standards and regulatory requirements
• Contribute to evolution of data management standards, SOPs, and process improvements; promote automation/AI where appropriate
• Mentor colleagues and share knowledge within Clinical Data Management

Key requirements

• Bachelor’s or Master’s degree in life sciences, data management, or related field
• ≥8 years of clinical data management experience in pharma/biotech/healthcare
• Proven track record of end-to-end data management for global trials
• Strong project management, communication, collaboration, and problem-solving skills
• Experience coordinating global cross-functional teams and CRO/vendor activities
• Proficiency with clinical data management systems and tools
• Good understanding of regulatory requirements and CDISC data standards
• Commitment to continuous development and knowledge sharing in data management
• Experience with Risk Based Data Monitoring preferred
• Experience with automation, advanced analytics, and AI-enabled solutions is an advantage

• strong communication
• collaboration
• problem-solving
• clinical data management systems and tools
• CDISC standards
• regulatory knowledge and submission-ready data packages

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