
Clinical Data Science Professional
2 days ago
The role of a Clinical Data Specialist involves ensuring the accuracy and quality of clinical trial data.
- Develop project specifications for data management services, including protocol conversion, database build, CRF design, and data review and reconciliation tools.
- Understand external data collection, its integration into the clinical trial, and the management and reconciliation processes required to ensure its accuracy and relevance.
- Implement data cleaning strategies to accelerate the time to achieve subject data cleanliness and ensure high-quality, timely deliverables.
Key Responsibilities:
- Conduct holistic data review and trending analysis via reporting and analytics to proactively identify issues, risks, and develop mitigation strategies.
- Utilize artificial intelligence (AI) and machine learning (ML) for anomaly and outlier detection to enhance the efficiency and quality of trial data.
- 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.
Requirements:
- Collaborate and work as a team to ensure deliverables are completed on time with high quality.
- Ensure compliance with industry quality standards, regulations, guidelines, and procedures.
- Maintain accurate and up-to-date data management documentation throughout the trial lifecycle.
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