Senior Statistical Programmer (SAS + R) - Remote

Logirail; Peñarrubia; Remote; EUR 70,000 - 110,000; Full time

Job summary

Cytel is seeking a Senior/Principal Statistical Programmer to work remotely within our sponsor-dedicated model. The role focuses on implementing comprehensive reporting and analysis activities for sponsor clinical trials, with leadership over CRO programmers and collaboration with statisticians to ensure high-quality outputs.

The ideal candidate will have extensive SAS and R programming experience, in-depth CDISC SDTM/ADaM knowledge, and a strong track record delivering regulatory-compliant

Qualifications

• Strong SAS programming skills and experience with clinical trial data
• Proficient in R programming for statistical analyses
• Experience leading statistical programming teams or CRO programming efforts
• Knowledge of CDISC SDTM/ADaM standards and regulatory submissions

Responsibilities

• Generate SDTM and ADaM specifications, datasets, reviewer’s guides and define.xml files for multiple studies
• Develop SAS programs to create datasets, listings, tables, and graphs
• Deliver high-quality statistical programming outputs and validate SAS and/or R programs
• Oversee CRO programmers to ensure timely, compliant deliverables
• Assist in preparation of clinical study reports, regulatory submissions, publications and DSURs
• Follow FDA regulations and good clinical practice for electronic submissions
• Contribute to standards for programming tools, outputs, and macros
• Contribute to CRF development, edit check specs, and data validation plans
• Provide review of programming deliverables

Skills

SAS programming

R programming

Statistical programming leadership

CDISC SDTM/ADaM knowledge

Tools

CRO oversight

Job description

Cytel is seeking a Senior/Principal Statistical Programmer to work remotely within our sponsor-dedicated model. The role focuses on implementing comprehensive reporting and analysis activities for sponsor clinical trials, with leadership over CRO programmers and collaboration with statisticians to ensure high-quality outputs.

The ideal candidate will have extensive SAS and R programming experience, in-depth CDISC SDTM/ADaM knowledge, and a strong track record delivering regulatory-compliant