Statistical programmer (data anonymization)

Veramed · India

Purpose:

This function supports the protection of patient privacy when clinical trial data is shared externally.

Typical use cases: Regulatory submissions Data sharing with researchers Health authority requests External collaborations Clinical trial transparency initiatives

Typical responsibilities: Review datasets for personally identifiable information (PII). Apply anonymization methodologies. Remove or mask sensitive variables. Assess re-identification risk. Create anonymized SDTM and ADa M datasets. Produce anonymization reports and documentation. Validate anonymized outputs.

Key technical skills: SAS programming. SDTM and ADa M expertise. Clinical trial disclosure processes. Metadata and standards expertise. Knowledge of data privacy regulations: GDPR HIPAA EMA Policy 0070

Ideal profile: Clinical programming teams. Regulatory programming. Clinical disclosure teams. Data transparency functions. 4+ Years of relevant experience

Success factors: Meticulous attention to detail Strong compliance mindset Understanding of patient privacy regulations Process-oriented approach Ability to work within heavily governed environments