1. SDTM Implementation: Assist in the implementation of SDTM standards to organize and structure clinical trial data in compliance with CDISC guidelines. 2. Dataset Creation: Contribute to the creation of SDTM datasets, such as DM (Demographics), AE (Adverse Events), DS (Disposition), and others, from source data, ensuring accuracy and consistency. 3. Programming Support: Provide support to senior SDTM programmers in SAS programming tasks related to data transformation and mapping. 4. Data Validation: Conduct data validation activities to identify and resolve discrepancies in the data, ensuring high-quality SDTM deliverables. 5. Documentation: Maintain comprehensive documentation of data conversion processes and SDTM specifications. 6. Collaboration: Collaborate with cross-functional teams, including data managers, clinical programmers, and biostatisticians, to support efficient data collection and standardization. 7. QC Checks: Perform quality control checks on SDTM datasets to ensure compliance with regulatory requirements and internal data standards. 8. Regulatory Compliance: Familiarize yourself with relevant regulatory guidelines (e.g., FDA, EMA) to ensure SDTM datasets are submission-ready for regulatory approval.