
Data Manager Position
2 days ago
Job Title: Clinical Data Management Specialist
We are seeking an experienced Clinical Data Management Specialist to join our team.
About the Role:
- Data Management Services: Define project specifications for data management services, including protocol conversion, database build, CRF design and data review and reconciliation tools.
- Data Collection and Integration: Understand external data collection, its integration into clinical trials and the management and reconciliation processes required to ensure accuracy and relevance.
- Data Cleaning: Execute data cleaning strategies to accelerate time to achieve subject data cleanliness and ensure high-quality, timely deliverables.
- Trending Analysis: Perform holistic data review and trending analysis via reporting and analytics to proactively identify issues, risks and develop mitigation strategies.
- Artificial Intelligence: Utilize artificial intelligence (AI) and machine learning (ML) for anomaly and outlier detection to enhance efficiency and quality of trial data.
- Performance Indicators: Monitor and interpret key performance indicators (KPIs), metrics, dashboards, clinical trial operational analytics (CTOA) and reports to provide actionable recommendations to study leads/project managers.
- Query Management: Perform query management activities.
- Data Platform Configuration: Define specifications and collaborate with technical teams on configuration of centralized data management platforms.
- Documentation: Prepare and maintain data management documentation throughout the trial lifecycle.
- Quality Control: Review and ensure the quality control of team-developed deliverables, covering eCRFs, study documents, program/report specifications, outputs and data central with analytics modules.
- Collaboration: Collaborate and work as a team to ensure deliverables are completed on time with high quality.
- Compliance: Ensure compliance with industry quality standards, regulations, guidelines and procedures.
About You:
- Strong experience in clinical data management and relevant qualifications.
- Ability to define project specifications, execute data cleaning strategies and perform holistic data review and trending analysis.
- Experience in utilizing AI/ML for anomaly and outlier detection and performing query management activities.
- Strong communication and collaboration skills.
- Ability to ensure compliance with industry quality standards, regulations, guidelines and procedures.
What We Offer:
A competitive salary and benefits package, opportunities for career growth and development, a dynamic and supportive work environment.
Contact Information:
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