Principal Statistical Programmer — SAS + R (Remote)

Placements24

Upington

Remote

ZAR 900,000 - 1,300,000

Full time

12 days ago

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Job summary

Cytel asks a Senior/Principal Statistical Programmer to work remotely on a sponsor-dedicated program within a global pharmaceutical client. You will lead SAS/R programming for SDTM/ADaM, prepare Define.xml, and oversee CRO outputs while ensuring compliance with FDA guidelines and data quality across studies.

The role requires 7+ years in biotech/pharma programming, strong communication, and independent work; you will collaborate with statisticians and vendors in a fast-paced setting.

Qualifications

  • Bachelor's degree in computer science, data science, mathematics or statistics preferred.
  • 7+ years as a Statistical Programmer in Biotech/Pharma clinical development or similar team.
  • SAS programming skills with SDTM/ADaM and Define.xml experience.
  • Experience supporting regulatory submissions and interactions with FDA/ICH regulators.
  • Ability to work independently and communicate effectively with team members.

Responsibilities

  • Generate SDTM, ADaM specifications, datasets, reviewer's guide and define.xml files for multiple studies.
  • Develop SAS programs to create datasets, complex listings, tables, and graphs.
  • Deliver high-quality SAS/R programs tailored to clinical development needs.
  • Oversee CROs' statistical programming deliverables to meet timelines.
  • Support preparation of clinical study reports, regulatory submissions and exploratory analyses.

Skills

SAS programming
CDISC SDTM/ADaM
Regulatory submissions
Biostatistics programming

Education

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

Tools

R
Python

Job description

Cytel asks a Senior/Principal Statistical Programmer to work remotely on a sponsor-dedicated program within a global pharmaceutical client. You will lead SAS/R programming for SDTM/ADaM, prepare Define.xml, and oversee CRO outputs while ensuring compliance with FDA guidelines and data quality across studies.

The role requires 7+ years in biotech/pharma programming, strong communication, and independent work; you will collaborate with statisticians and vendors in a fast-paced setting.

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