Intern - Statistical Programmer

When our values align, there's no limit to what we can achieve.

At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do.

Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference.

Applications Now Open: 5-Month Statistical Programming Internship - South Africa!

February 2026 Start Date

Application Deadline: 14th November 2025

Are you ready to launch your career in clinical research and data science?

Join us for a dynamic internship where you'll gain hands-on experience in statistical programming, contribute to real-world projects, and grow within a global team committed to improving patient outcomes.

Statistical Programming for Assigned Projects

• Collaborate on the development of clinical trial datasets (e.g., SDTM, ADaM), tables, figures, and listings.
• Apply efficient programming techniques to deliver high-quality outputs with a focus on first-time accuracy.
• Ensure timely delivery of tasks while maintaining best value and service excellence.

Training & Development

• Expand your knowledge of SAS programming and clinical data standards.
• Learn about regulatory frameworks and cross-functional processes within Parexel.
• Participate in structured training sessions and mentorship opportunities.

Compliance & Documentation

• Maintain comprehensive documentation to ensure traceability and regulatory compliance.
• Adhere to SOPs, ICH-GCP, and international regulations including 21 CFR Part 11.
• Support internal and external audits as needed.

Skills You’ll Build & Use

• Strong analytical thinking and attention to detail.
• Understanding of clinical data programming and reporting workflows.
• Ability to adapt to evolving technologies and systems.
• Effective time management and teamwork in a global, quality-focused environment.
• Commitment to delivering consistently high-quality work.

Education

• Bachelors or Masters Degree in Statistics, Mathematics, Computer Science, Life Sciences