Remote Principal Statistical Programmer — SAS + R

Placements24; East London; Remote; ZAR 1,492,000 - 2,653,000; Full time

Job summary

Placements24 is seeking a Senior/Principal Statistical Programmer to drive statistical programming for global clinical trials. You will implement SDTM/ADaM workflows, create datasets and complex tables, and ensure data quality across studies.

You will work largely independently within sponsor environments, mentoring team members and coordinating with CROs. Ideal candidates have extensive CDISC experience and regulatory submission exposure.

Qualifications

• Bachelor's degree in computer science, data science, mathematics or statistics.
• 7+ years of experience as a Statistical Programmer in biotech/pharma.
• Strong SAS programming skills and experience in clinical development.

Responsibilities

• Generate SDTM, ADaM specifications, datasets, reviewer's guide and Define.xml for multiple studies.
• Develop SAS programs to create datasets, listings, tables and graphs.
• Deliver high-quality SAS and/or R programs for clinical development programs.
• Oversee CRO programming deliverables to meet timelines and quality standards.
• Support preparation of clinical study reports and regulatory submissions.
• Follow FDA/ICH guidelines and Good Clinical Practice in data reporting.
• Contribute to standards for programming tools, outputs, and macros.
• Help develop CRFs, edit checks, and data validation plans.
• Provide data transfer specifications for external vendor data.
• Collaborate with CROs, vendors and partners to meet project goals.
• Produce SOPs and work instructions for statistical programming practices.

Skills

Leadership

Independent work

Communication

Education

Bachelor's degree in Computer Science

Bachelor's degree in Data Science

Bachelor's degree in Mathematics

Bachelor's degree in Statistics

Tools

SAS

R

Python

Java

Shiny

Markdown

Unix/Linux

git

Job description

Placements24 is seeking a Senior/Principal Statistical Programmer to drive statistical programming for global clinical trials. You will implement SDTM/ADaM workflows, create datasets and complex tables, and ensure data quality across studies.

You will work largely independently within sponsor environments, mentoring team members and coordinating with CROs. Ideal candidates have extensive CDISC experience and regulatory submission exposure.