Resumen
About the Role
Major accountabilities:
- Provides data mapping leadership across assigned use cases/demands and acts as the Clinical Data Mapper Lead where needed -Demonstrates a business understanding of the use cases/demands profile to identify and assist in successful application of data operations processes.
- Manage task allocation of the Clinical Data Mapper in accordance with priorities defined by Clinical Data Operations Lead.
- Recognize and resolve conflicts in data flows or data standards decisions and be responsible to define new quality checks/ validation process to ensure data compliance.
- Participation for all aspects of the Process and Training to ensure full compliance to all applicable global regulatory requirements including data privacy and business objectives are achieved.
- Responsible and accountable to ensure 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.
- Supports and assists Clinical Data Mapper staff for assigned use cases/demands -Provides effective input into Data Operations initiatives and innovations for quality, efficiency and continuous improvement in scientific and operational excellence
- Serves as primary Data Mapper ensuring timely and quality deliverables by establishing and maintaining strong working relationships with data mapper teams, and functional lines.
- Acts as a CDISC SDTM/ADaM expert as required
- Discuss with Data Scientists to provide overview on the data mapping process and data related complexities & issues to be resolved.
- Lead independently or participate in improvement initiatives related to the development of the Clinical Pipeline technology
- Collaborate with Data Engineering team to submit advanced data mapping requirements for complex transformation within the Clinical Pipeline.
- Be familiar with all clinical study documents from protocol to CSR including Data Management and Biostatistic documents.
Key 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 Mgmt -Adherence to Novartis policy and guidelines -Customer / partner/ project feedback and satisfaction
Minimum Requirements:
Work Experience:
- 5+ years of experience working with Clinical data
- Strong CDISC knowledge (SDTM/ADaM)
- Good knowledge of Clinical Data Lifecycle
- Being able to work with different standards
- Data Privacy knowledges
- 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.
- Data Privacy
- Databases.
- Project Management.
- SAS/SQL knowledge
- Python would be a plus
- Artificial Intelligence (Optional)
Languages :
- English.
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture
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Accessibility and accommodation
Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to [email protected] and let us know the nature of your request and your contact information. Please include the job requisition number in your message.
Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.
