Senior Associate, Data Management
Reckitt Benckiser
In this role, you contribute to high-quality study data by partnering with cross-functional teams and external vendors within the Data Analytics and Outsourcing group. You guide study design input, oversee data management activities, and uphold data integrity across the study lifecycle. You’ll apply data quality practices to improve study execution and ensure reliable, evidence-based outcomes. This position offers exposure to R&D data operations in a global, regulated environment and opportunities to drive continuous improvement.
Pay / Benefits- parental benefits
- Employee Assistance Program
- life insurance for all employees globally
- global share plans
- short-term incentives
- pay for performance
- Provide data management expertise to study teams and contribute to study protocols and design
- Lead refinement of electronic data collection tools (eCRFs) for accurate data capture
- Monitor study data to identify trends, discrepancies, and outliers and take corrective actions
- Collaborate with external vendors, overseeing data management deliverables
- Review vendor processes and documentation to align with company standards and regulatory requirements
- Ensure data management activities meet timelines, scope, and quality expectations
- Contribute to lessons learned and continuous improvement initiatives
- Apply data integrity principles (ALCOA) and ensure regulatory compliance
- Experience in Data Management within clinical research or a regulated environment
- Ability to contribute independently to study data management activities
- Experience working with external vendors and managing deliverables
- Strong understanding of clinical data collection tools (eCRFs) and study processes
- Knowledge of data quality and data integrity principles (ALCOA)
- Ability to identify issues, assess impact, and support resolution
- Strong communication skills with experience across functions
- Cross-functional collaboration
- Strong communication
- Problem-solving under regulatory constraints
- Data Management in clinical research
- eCRFs
- ALCOA data integrity
Reference: WJ-747_31293918 · Posted 14 Nov 2026, 11:34 PM