Senior Principal Statistical Programmer (SAS/R) - Remote

Placements24; Stellenbosch; Remote; ZAR 900,000 - 1,200,000; Full time

Job summary

Placements24 seeks a Senior/Principal Statistical Programmer to work remotely on pharmaceutical client projects. You will implement reporting and analysis activities, generate SDTM/ADaM datasets, and ensure high-quality outputs while interacting with CROs and internal teams.

The role emphasizes independent work, adherence to FDA/ICH guidelines, and collaboration across cross-functional partners to drive data integrity and successful regulatory submissions.

Qualifications

• Bachelor's degree in computer science, data science, mathematics, or statistics.
• 7+ years of experience as a Statistical Programmer in Biotech/Pharma.
• Exceptional SAS programming skills and experience in clinical development environments.
• Extensive CDISC SDTM/ADaM and Define.xml knowledge.
• Experience with regulatory submissions and interactions with regulators.

Responsibilities

• Generate SDTM, ADaM specifications, datasets, reviewer’s guide and define.xml for multiple studies.
• Develop SAS programs to create datasets, tables, listings, and complex graphs.
• Deliver high-quality SAS/R programs tailored to development programs.
• Oversee CRO deliverables to meet timelines and quality standards.
• Support preparation of clinical study reports, regulatory submissions, and DSURs.

Skills

SAS programming

R programming

CDISC SDTM/ADaM

Regulatory submissions

Leadership

Communication

Python

Java

Shiny

Unix/Linux

Git

Education

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

Tools

SAS

R

Python

Java

Shiny

Unix/Linux

Git

Job description

Placements24 seeks a Senior/Principal Statistical Programmer to work remotely on pharmaceutical client projects. You will implement reporting and analysis activities, generate SDTM/ADaM datasets, and ensure high-quality outputs while interacting with CROs and internal teams.

The role emphasizes independent work, adherence to FDA/ICH guidelines, and collaboration across cross-functional partners to drive data integrity and successful regulatory submissions.