We are looking for an experienced Clinical Data Anonymization Programmer to join a growing team, focused on protecting patient confidentiality while enabling global clinical data sharing.
In this role, you will work at the intersection of Clinical Programming, Data Transparency, and Privacy Compliance, helping ensure that clinical trial datasets can be safely shared with regulators, researchers, and external partners.
Key Responsibilities
✅ Review clinical trial datasets for personally identifiable information (PII)
✅ Apply anonymization and data masking methodologies
✅ Assess and mitigate patient re-identification risks
✅ Create anonymized SDTM and ADaM datasets
✅ Validate anonymized outputs and ensure regulatory compliance
✅ Develop anonymization reports and supporting documentation
✅ Collaborate with clinical programming, regulatory, and transparency teams
Required Skills & Experience
Robust SAS programming expertise
Hands-on experience with SDTM and ADaM datasets
Understanding of CDISC standards and metadata
Experience supporting regulatory submissions
Knowledge of clinical trial disclosure and data transparency processes
Familiarity with GDPR, HIPAA, and patient privacy requirements
Strong analytical and problem-solving skills
Detail-oriented with a quality and compliance mindset
Preferred Background
We would love to hear from candidates with experience in:
Clinical SAS Programming
Statistical Programming
Regulatory Programming
Clinical Trial Disclosure
Data Transparency / Data Sharing Programs
Clinical Data Anonymization
Why Join?
⭐ Work in a rapidly growing area of clinical data transparency and patient privacy
⭐ Gain exposure to global regulatory requirements and governance frameworks
⭐ Collaborate across multiple therapeutic areas and studies
⭐ Build future-proof expertise in anonymization, GDPR, and data-sharing regulations
⭐ Play a critical role in protecting patient confidentiality while advancing scientific research