Statistical Programmer - Data Analytics
First seen by Alion on Aug 25, 2026.
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 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 :
- 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.
Skills
SAS, Data Privacy Management, Data Analytics, Business Intelligence, Statistical Modeling, Statistical Analyst, SDTM, Clinical Data Management