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

Robust compliance mindset

Understanding of patient privacy regulations

Process-oriented approach

Ability to work within heavily governed environments

📌 Statistical Programmer (data Anonymization) (Mumbai)
🏢 Veramed
📍 Mumbai