
Clinical Data Mapping Specialist
1 day ago
Job Summary
The Clinical Data Mapping Specialist is responsible for leading data mapping activities across assigned use cases and demands. This includes providing leadership in the identification and application of data operations processes to achieve business objectives.
- Key Responsibilities:
- Manage task allocation of Clinical Data Mappers according to priorities defined by the Clinical Data Operations Lead.
- Recognize and resolve conflicts in data flows or data standards decisions, and define new quality checks/validation processes to ensure data compliance.
- Participate in all aspects of process and training to ensure full compliance with applicable global regulatory requirements.
- Responsible for ensuring consistency of assigned tasks related to data mappings, maintenance of relevant clinical data and metadata catalogs.
- Build or contribute to relevant data dictionaries, ontologies, and vocabularies.
- Perform hands-on activities to conduct data quality assessments.
- Support Clinical Data Mapper staff for assigned use cases/demands.
- Serves as primary Data Mapper, ensuring timely and quality deliverables through establishing and maintaining strong working relationships with data mapper teams and functional lines.
- Acts as a CDISC SDTM/ADaM expert as required.
- Discuss data mapping process and related complexities/issues with Data Scientists.
- Lead improvement initiatives related to the development of the Clinical Pipeline technology.
Performance Indicators:
- Achieve high level of quality, timeliness, cost efficiency, and customer satisfaction across Data Operations activities and deliverables.
- No critical audit findings due to Data Management.
Requirements:
Work Experience:
- 5+ years of experience working with Clinical data.
- Strong CDISC knowledge (SDTM/ADaM).
- Good knowledge of Clinical Data Lifecycle.
- Ability to work with different standards.
- Data Privacy knowledge.
- Cross Cultural Experience.
- Functional Breadth.
- Experience in Agile way of working would be a plus.
- Project Management.
Skills:
- Clinical Data Management.
- Data Governance.
- Data Integrity.
- Data Operations.
- Data Quality.
- Databases.
- Project Management.
- SAS/SQL knowledge.
- Python would be a plus.
Language:
- English.
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