This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Statistical Programmer II (Clinical SAS Programmer) based in South Africa.
This role plays a key part in supporting clinical research and drug development through high-quality statistical programming and data analysis. You will contribute to the preparation, validation, and reporting of clinical trial data that ultimately supports regulatory submissions and patient therapies. Working in a global, quality-driven environment, you will apply your SAS programming expertise to build datasets, tables, figures, and listings used in clinical study reporting. The position requires strong attention to detail, technical precision, and the ability to work collaboratively within cross-functional and international teams. You will also contribute to process improvements, documentation standards, and compliance with global regulatory frameworks. This is a meaningful opportunity for a detail-oriented programmer who wants to directly impact healthcare outcomes through clinical data excellence.
Accountabilities
- Support clinical trial programming activities, including study start-up coordination, documentation tracking, and creation of global programming assets.
- Develop and validate statistical programs using SAS to generate SDTM, ADaM datasets, tables, figures, and listings for clinical reporting.
- Perform quality control checks on derived datasets and outputs to ensure accuracy, consistency, and regulatory compliance.
- Assist in the preparation and review of programming specifications, submission documentation, and related study materials.
- Maintain compliance with SOPs, ICH-GCP guidelines, and global regulatory requirements including 21 CFR Part 11.
- Contribute to project deliverables by ensuring timely execution of programming tasks and meeting defined quality standards.
- Participate in process improvement initiatives and support continuous enhancement of programming workflows.
- Provide mentorship or support to junior team members and assist with training activities when required.
Requirements
- Degree in a relevant scientific, mathematical, or technical discipline, or equivalent practical experience.
- 1.5+ years of clinical SAS programming experience within a clinical research or pharmaceutical environment.
- Strong proficiency in SAS, including dataset creation, statistical reporting, and clinical data structures (SDTM, ADaM).
- Solid understanding of clinical trial processes, regulatory guidelines, and CDISC standards.
- Knowledge of ICH-GCP, SOPs, and regulatory requirements such as 21 CFR Part 11.
- Strong analytical skills with high attention to detail and commitment to data quality.
- Ability to manage multiple priorities and work effectively in a fast-paced, regulated environment.
- Strong communication skills in English, both written and verbal.
- Ability to work collaboratively in global, cross-functional teams.
- Proactive mindset with willingness to learn new systems and continuously improve technical expertise.
Benefits
- Competitive compensation package aligned with experience and market standards.
- Remote-friendly work structure within South Africa.
- Opportunity to contribute to global clinical trials impacting patient health outcomes.
- Exposure to international teams and leading pharmaceutical research processes.
- Career development opportunities within clinical programming and statistical sciences.
- Structured learning environment with mentorship and technical training support.
- Inclusive, quality-driven workplace focused on professional growth and collaboration.
- Opportunity to work on complex, meaningful healthcare and life sciences projects.