Develop and validate clinical databases according to regulatory standards (e.g., CDISC).

Write SAS or R programs to extract, transform, and load (ETL) clinical data.

Create and maintain data dictionaries, annotated CRFs, and other study documentation.

Perform quality control checks on clinical data to ensure accuracy and consistency.

Collaborate with clinical data managers, biostatisticians, and medical writers on study teams.

Develop and implement data validation procedures to identify data discrepancies.

Generate reports and data summaries for clinical study reports and regulatory submissions.

Assist in the development of standard operating procedures (SOPs) for data management activities.

Participate in database design and review meetings to ensure data integrity.

Troubleshoot and resolve data-related issues in clinical databases.

Stay updated with industry trends and regulatory requirements related to clinical data programming.

Provide support for data audits and inspections by regulatory agencies.

Design and develop clinical databases to efficiently store and manage patient data.

Implement data validation procedures to ensure data accuracy and consistency.

Write and maintain scripts (e.g., SQL, SAS) for data extraction, transformation, and loading (ETL).

Ensure database systems comply with regulatory requirements (e.g., FDA, GDPR).

Collaborate with clinical teams, data managers, and statisticians to define data requirements.

Perform routine database maintenance, including backups, updates, and performance tuning.

Generate reports and data summaries for clinical study analysis and reporting.

Create and maintain comprehensive documentation for database systems and processes.

Provide technical support and troubleshoot database-related issues for users.

Manage data migration activities from legacy systems to new database platforms.

Implement security measures to protect sensitive patient data from unauthorized access.