Senior Statistical Programmer - Remote (SAS + R, CDISC)

Toloka

Las Palmas de Gran Canaria

Remote

EUR 70,000 - 110,000

Full time

2 days ago
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Job summary

Cytel is seeking a Senior/Principal Statistical Programmer for remote work with a global pharmaceutical client. You will lead SAS programming tasks, ensure SDTM/ADaM compliance, and generate TLFs while collaborating across cross-functional teams to meet project timelines.

Ideal candidates have 8+ years of SAS experience in pharma/biotech, strong CDISC knowledge, and prior study lead or leadership experience.

Qualifications

  • Bachelor's degree in Statistics, Computer Science, Mathematics, or equivalent.
  • At least 8 years of SAS programming with clinical trial data.
  • Experience with CDISC SDTM/ADaM standards and submission documents.
  • Study lead experience preferred; ability to manage multiple projects.
  • Strong data manipulation, analysis and reporting skills.
  • Experience generating submissions documents (define.xml, etc.).

Responsibilities

  • Perform data manipulation, analysis and reporting of clinical trial data (safety and efficacy).
  • Generate and validate SDTM/ADaM datasets and TLFs.
  • Perform production and QC/validation programming.
  • Create complex ad-hoc reports from raw data.
  • Apply strong efficacy analysis understanding and techniques.
  • Contribute to submission documents and eCRTs; respond to client requests.
  • Lead when required and collaborate with global cross-functional teams.

Skills

SAS programming
CDISC SDTM/ADaM
Data manipulation/analysis
TLFs (tables, listings, figures)
Lead/study lead experience
QC/validation skills
Cross-functional collaboration
Ad-hoc reporting

Education

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

Tools

SAS
CDISC SDTM/ADaM tools

Job description

Cytel is seeking a Senior/Principal Statistical Programmer for remote work with a global pharmaceutical client. You will lead SAS programming tasks, ensure SDTM/ADaM compliance, and generate TLFs while collaborating across cross-functional teams to meet project timelines.

Ideal candidates have 8+ years of SAS experience in pharma/biotech, strong CDISC knowledge, and prior study lead or leadership experience.

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