Senior Statistical Programmer — Remote (SAS, SDTM/ADaM) Lead

Thedoortalent; Madrid; Remote; EUR 60.000 - 90.000; Vollzeit

Zusammenfassung

Cytel is seeking a Senior/Principal Statistical Programmer (SAS + R) to join a fully remote, client-embedded role within a leading pharmaceutical project. You will apply CDISC SDTM/ADaM standards to support Phase I–IV trials, lead programming tasks and collaborate with global teams to deliver high-quality analysis outputs.

Ideally you have 8+ years of SAS experience in pharma/biotech, strong data manipulation and submission tooling knowledge, and the ability to own deliverables under tight

Qualifikationen

• At least 8 years of SAS programming with clinical trial data.
• Experience leading multiple projects is preferred.
• Strong knowledge of CDISC SDTM/ADaM standards.
• Proficient in data manipulation, analysis and reporting.
• Experience with submissions and define.xml.

Aufgaben

• Perform data manipulation, analysis and reporting of clinical trial data (safety and efficacy).
• Generate and validate SDTM/ADaM datasets and TLFs (tables, listings, figures).
• Production and QC/validation programming.
• Create complex ad-hoc reports from raw data.
• Support efficacy analysis.
• Prepare submission documents and eCRTs.
• Coordinate with cross-functional teams and clients on project specs and status.
• Lead duties when required.
• Be a team player and adapt to changing priorities.

Kenntnisse

SAS programming

CDISC SDTM/ADaM

Data manipulation

Analysis & reporting

QC/validation

Lead duties/leadership

Ad-hoc reporting

Efficacy analysis

Cross-functional collaboration

Team collaboration

Ausbildung

Bachelor's degree in Statistics, Computer Science, or Mathematics

Master's degree or higher

Tools

SAS

Jobbeschreibung

Cytel is seeking a Senior/Principal Statistical Programmer (SAS + R) to join a fully remote, client-embedded role within a leading pharmaceutical project. You will apply CDISC SDTM/ADaM standards to support Phase I–IV trials, lead programming tasks and collaborate with global teams to deliver high-quality analysis outputs.

Ideally you have 8+ years of SAS experience in pharma/biotech, strong data manipulation and submission tooling knowledge, and the ability to own deliverables under tight