Senior Principal Statistical Programmer (Remote) SAS + R

Placements24

East London

À distance

ZAR 2 479 000 - 3 800 000

Plein temps

Il y a 6 jours
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Résumé du poste

Cytel Inc. is seeking a Senior/Principal Statistical Programmer (SAS + R) to work remotely for a pharmaceutical client.

The role involves independent, expert-level programming across SDTM/ADaM, datasets, and Define.xml, with CRO oversight to ensure timely, high-quality data outputs for regulatory submissions. Applicants should have 7+ years in biostatistics programming, extensive CDISC experience, and strong communication and leadership skills.

Qualifications

  • Exceptional SAS programming skills and expertise in clinical development environments.
  • Extensive CDISC SDTM/ADaM and Define.xml experience with regulatory submissions.
  • Ability to work independently and lead programming activities with CROs.
  • Excellent written and verbal communication and leadership skills.

Responsabilités

  • Generate SDTM, ADaM specs, datasets, reviewers' guides and define.xml for studies.
  • Develop SAS programs to create datasets, listings, tables, and graphs.
  • Deliver high quality outputs; validate and maintain SAS and R programs.
  • Oversee CROs' programming deliverables to meet timelines.
  • Support clinical study reports, regulatory submissions and analyses.
  • Follow FDA/ICH guidelines and maintain programming standards.
  • Contribute to SOPs, CDISC standards, data transfer specs.

Connaissances

SAS programming
Communication skills
Leadership
Independent worker
R programming
Python
Java
Shiny
Unix/Linux
Git

Formation

Bachelor degree in CS/Data Science/Math/Stats

Outils

SAS
R

Description du poste

Cytel Inc. is seeking a Senior/Principal Statistical Programmer (SAS + R) to work remotely for a pharmaceutical client.

The role involves independent, expert-level programming across SDTM/ADaM, datasets, and Define.xml, with CRO oversight to ensure timely, high-quality data outputs for regulatory submissions. Applicants should have 7+ years in biostatistics programming, extensive CDISC experience, and strong communication and leadership skills.

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