Senior Statistical Programmer (SAS/R) – Remote, CDISC Lead

Veeva Systems

Málaga

Remote

EUR 70,000 - 100,000

Full time

36 hours ago
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Job summary

Cytel is seeking a Senior Statistical Programmer to work remotely, embedded with a pharmaceutical client and supported by Cytel. You will leverage advanced SAS programming skills and CDISC SDTM/ADaM experience to contribute to Phase I-IV trials and deliver high-quality analysis and submissions.

Responsibilities include data manipulation, validation of SDTM/ADaM datasets, generation of TLFs, and creation of complex ad-hoc reports, with opportunities to lead and collaborate across cross-functional

Qualifications

  • Bachelor's degree in Statistics, Computer Science, Mathematics, etc.
  • At least 8 years of SAS programming working with clinical trial data in the Pharmaceutical & Biotech fields.

Responsibilities

  • Perform data manipulation, analysis and reporting of clinical trial data (safety and efficacy) using SAS
  • Generate and validate SDTM and ADaM datasets/analysis files, tables, listings and figures (TLFs)
  • Production and QC/validation programming
  • Generate complex ad-hoc reports from raw data
  • Apply strong understanding/experience of efficacy analysis
  • Create and review submission documents and eCRTs
  • Communicate with internal cross-functional teams and clients for project specs/status/issues
  • Lead duties when required
  • Be a team player and adapt to changing priorities

Skills

SAS programming
SDTM/ADaM standards

Education

Bachelor's in statistics

Tools

CDISC tooling

Job description

Cytel is seeking a Senior Statistical Programmer to work remotely, embedded with a pharmaceutical client and supported by Cytel. You will leverage advanced SAS programming skills and CDISC SDTM/ADaM experience to contribute to Phase I-IV trials and deliver high-quality analysis and submissions.

Responsibilities include data manipulation, validation of SDTM/ADaM datasets, generation of TLFs, and creation of complex ad-hoc reports, with opportunities to lead and collaborate across cross-functional

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