Remote Senior Statistical Programmer - SAS & CDISC Lead

Cytel

España

Remote

EUR 70,000 - 110,000

Full time

7 days ago
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Job summary

Cytel in Spain is seeking a Senior Statistical Programmer who will apply advanced SAS programming and CDISC SDTM/ADaM standards to support multiple clinical trials. The role offers full remote work with a globally distributed team and exposure to front-line medical data.

You will lead data analysis, develop TLFs, and contribute to submission-ready datasets while collaborating across units to meet ambitious timelines.

Qualifications

  • Bachelor’s degree in Statistics, Computer Science or Mathematics.
  • 8+ years SAS programming in Pharma/Biotech with bachelor; 6+ with master.
  • Study lead experience preferred.
  • Strong SAS data manipulation, analysis and reporting.
  • Experience with CDISC SDTM/ADaM standards.
  • Immunology/respiratory/oncology experience is a plus.
  • Excellent analytical and troubleshooting skills.
  • Ability to deliver quality outputs under tight deadlines.
  • Experience working in globally dispersed teams.

Responsibilities

  • Perform data manipulation, analysis and reporting of clinical trial data (safety and efficacy).
  • Generate and validate SDTM and ADaM datasets, and tables, listings, and figures (TLFs).
  • Production and QC / validation programming.
  • Generate complex ad-hoc reports from raw data.
  • Lead duties when called upon.
  • Collaborate with cross-functional teams and clients on project specifications.
  • Adapt to changing priorities and meet deadlines.
  • Provide high-quality output in a global team environment.

Skills

SAS programming
CDISC SDTM/ADaM
Data manipulation
Analysis and reporting

Education

Bachelor's degree in Statistics/CS/Mathematics

Tools

SAS

Job description

Cytel in Spain is seeking a Senior Statistical Programmer who will apply advanced SAS programming and CDISC SDTM/ADaM standards to support multiple clinical trials. The role offers full remote work with a globally distributed team and exposure to front-line medical data.

You will lead data analysis, develop TLFs, and contribute to submission-ready datasets while collaborating across units to meet ambitious timelines.

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