Join our team and build your career with us
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
