R
Randstad
Senior Specialist, External Data Acquisition and Delivery (EDAD)
Skills
Google Cloud PlatformData MiningOracleCompliance
2 months ago
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Important information
Contract type:
Permanent
Location:
Hyderabad, Telangana, India
Work mode:
Hybrid
Published on:
26 August 2026
What they need
Role & responsibilities
- Responsible for the development of new DTS templates in alignment with CDISC requirements. This includes:
- Authoring the DTS in collaboration with stakeholders, ensuring consistency and compliance with the applicable standard Data Transfer Specification templates and processes.
- Responding to external data providers and internal stakeholder queries to ensure data will be delivered are complete, in the correct format and structure.
- Tracking DTS status across different data types and programs. Ensure DTS development dates are met as per study timelines.
- Ensuring external data structure is consistent and compliant with appropriate standard Data Transfer Specification Templates.
- Supporting data structure issue resolution for assigned studies.
- Liaising cross functionally to facilitate the creation of new test codes.
- Processing change requests to update existing DTS for assigned studies.
- Support locking and archival of external data.
- Provide review of protocol requirements, vendor specifications, and operational data flows with minimal supervision.
- Maintenance of all Data Transfer Specification (DTS) documents, ensuring consistency and compliance with Regeneron standards, processes, templates, and timelines.
- Provide guidance on External Data Services to CROs, internal stakeholders, and external vendors across assigned data types.
- Monitor data trends to identify potential risks to data integrity or protocol deviations early in the study life cycle.
- Perform external data reconciliation activities between EDC and vendor data systems across all studies.
Preferred candidate profile
- Experience in managing multiple clinical data types and formats, e.g., biomarker, eCOA, imaging, ECG, PK, genomics, and laboratory data is required.
- Basic knowledge of database structures and protocol review as relevant to clinical data management is preferred.
- Demonstrates knowledge of all applicable regulations including 21 CFR Part 11, ICH-GCP Guidelines, and CDISC standards for data collection.
- Demonstrates basic knowledge of Data Management, External Data processes, and industry best practices.
- Proficiency and experience with extracting data into SAS, CSV, and XML formats is required.
- Knowledge of EDC platforms (e.g., Medidata Rave, Veeva, Oracle Inform, etc) and experience with external data reconciliation and query processes between EDC and vendor data systems.
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