Purpose:This function supports the protection of patient privacy when clinical trial data is shared externally.Typical use cases:Regulatory submissionsData sharing with researchersHealth authority requestsExternal collaborationsClinical trial transparency initiativesTypical responsibilities:Review datasets for personally identifiable information (PII).Apply anonymization methodologies.Remove or mask sensitive variables.Assess re-identification risk.Create anonymized SDTM and ADaM datasets.Produce anonymization reports and documentation.Validate anonymized outputs.Key technical skills:SAS programming.SDTM and ADaM expertise.Clinical trial disclosure processes.Metadata and standards expertise.Knowledge of data privacy regulations:GDPRHIPAAEMA Policy 0070Ideal profile:Clinical programming teams.Regulatory programming.Clinical disclosure teams.Data transparency functions.4+ Years of relevant experienceSuccess factors:Meticulous attention to detailStrong compliance mindsetUnderstanding of patient privacy regulationsProcess-oriented approachAbility to work within heavily governed environments

📌 Statistical Programmer (Data Anonymization) (India)
🏢 Veramed
📍 India