Senior Principal Statistical Programmer (SAS/R) — Remote

Placements24; South Africa; À distance; ZAR 900 000 - 1 300 000; Plein temps

Résumé du poste

Cytel invites a Senior/Principal Statistical Programmer to join our sponsor-dedicated team, fully embedded with a pharmaceutical client and backed by Cytel. The role emphasizes independent work, high-quality SDTM/ADaM outputs, and CRO oversight across multiple studies.

You will develop SAS and R programs for analyses, contribute to submission-ready datasets and reports, and ensure adherence to FDA/ICH guidelines while advancing modeling and data visualization capabilities.

Qualifications

• Minimum bachelor’s degree in computer science, data science, mathematics or statistics.
• 7+ years as Statistical Programmer in Biotech/Pharma clinical development.
• Excellent SAS programming skills and experience with SDTM/ADaM/Define.xml.
• Experience with regulatory submissions and FDA/ICH guidelines.
• Ability to work independently and lead initiatives.

Responsabilités

• Generate SDTM and ADaM specifications and define.xml for studies.
• Develop SAS programs for datasets, listings, tables and graphs.
• Deliver high-quality programming results and maintain SAS/R programs.
• Oversee CROs' programming deliverables and timelines.
• Support clinical study reports, submissions, and exploratory analyses.

Connaissances

SAS programming

CDISC SDTM/ADaM

FDA/ICH regulation

Data analysis

Leadership

Communication skills

Independent work

R and Python

Formation

Bachelor's degree in computer science/data science/mathematics/statistics

Outils

R

Python

Shiny

Unix/Linux

Git

Description du poste

Cytel invites a Senior/Principal Statistical Programmer to join our sponsor-dedicated team, fully embedded with a pharmaceutical client and backed by Cytel. The role emphasizes independent work, high-quality SDTM/ADaM outputs, and CRO oversight across multiple studies.

You will develop SAS and R programs for analyses, contribute to submission-ready datasets and reports, and ensure adherence to FDA/ICH guidelines while advancing modeling and data visualization capabilities.