Remote Senior Statistical Programmer (SAS, CDISC SDTM/ADaM)

Cytel

Netherlands

On-site

EUR 80,000 - 110,000

Full time

14 days+

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Job summary

Cytel is seeking a Senior Statistical Programmer to support one or more global clinical trials. The role leverages advanced SAS programming and CDISC SDTM/ADaM expertise to deliver high-quality analysis and submission-ready outputs.

The position can be performed fully remote, with collaboration across a globally dispersed team. Candidates should have substantial SAS experience in Pharma/Biotech and a track record of timely, accurate data delivery.

Qualifications

  • Bachelor's degree in Statistics, Computer Science, Mathematics, or related field.
  • At least 8 years of SAS programming experience with clinical trial data; Master’s degree or higher reduces experience requirement.
  • Strong knowledge of CDISC SDTM/ADaM standards and data structures.
  • Experience with submission documents including define.xml is a plus.
  • Excellent analytical and troubleshooting skills; ability to meet deadlines.

Responsibilities

  • Perform data manipulation, analysis and reporting of clinical trial data (safety and efficacy).
  • Generate and validate SDTM/ADaM datasets/analysis files and TLFS (tables, listings, figures).
  • Produce and QC/validate programming deliverables and reports.
  • Create complex ad-hoc reports from raw data.
  • Lead duties when required and collaborate with cross-functional teams.
  • Support submission documents and respond to client specifications.

Skills

SAS programming
CDISC SDTM/ADaM
Data manipulation
Clinical trial analysis
Ad-hoc reporting
Team leadership
QC/validation
Analytical thinking

Education

Bachelor's degree in Statistics / Computer Science / Mathematics
Master's degree preferred

Job description

Cytel is seeking a Senior Statistical Programmer to support one or more global clinical trials. The role leverages advanced SAS programming and CDISC SDTM/ADaM expertise to deliver high-quality analysis and submission-ready outputs.

The position can be performed fully remote, with collaboration across a globally dispersed team. Candidates should have substantial SAS experience in Pharma/Biotech and a track record of timely, accurate data delivery.

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