Principal Statistical Programmer (SAS & R) – Remote

Placements24

East London

Remote

ZAR 1,824,000 - 2,819,000

Full time

5 days ago
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Job summary

Cytel Inc. is seeking a Senior/Principal Statistical Programmer to work remotely on sponsor-driven clinical programs, with autonomy in delivering high-quality analyses.

You will lead programming for SDTM/ADaM, define.xml, listings and tables, while ensuring compliance with FDA/ICH guidelines and contributing to study reports and regulatory submissions. Ideal candidates bring extensive SAS and R expertise, CDISC standards mastery, and prior CRO oversight experience, collaborating with

Qualifications

  • Bachelor's degree in a quantitative field is preferred.
  • 7+ years of experience as a Statistical Programmer in Biotech/Pharma.
  • Strong SAS programming expertise for clinical development.
  • Deep knowledge of CDISC standards (SDTM/ADaM/Define.xml).
  • Experience supporting regulatory submissions with FDA/ICH interactions.
  • Ability to work independently with minimal supervision.

Responsibilities

  • Generate SDTM, ADaM specs, datasets, define.xml and reviewer's guide.
  • Develop SAS programs to produce datasets, listings, tables and graphs.
  • Deliver high-quality programming results and validate R/SAS outputs.
  • Oversee CRO programmers to meet timelines and quality standards.
  • Support clinical study reports, regulatory submissions and DSURs.

Skills

SAS programming
Leadership
Communication skills
Independent work
FDA/ICH knowledge
CDISC SDTM/ADaM

Education

Bachelor's degree in Computer Science/Data Science/Mathematics/Statistics

Tools

R
Python
Java
Shiny
Markdown
Unix/Linux
git

Job description

Cytel Inc. is seeking a Senior/Principal Statistical Programmer to work remotely on sponsor-driven clinical programs, with autonomy in delivering high-quality analyses.

You will lead programming for SDTM/ADaM, define.xml, listings and tables, while ensuring compliance with FDA/ICH guidelines and contributing to study reports and regulatory submissions. Ideal candidates bring extensive SAS and R expertise, CDISC standards mastery, and prior CRO oversight experience, collaborating with

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