Senior Principal Statistical Programmer (SAS + R) - Remote

AfterQuery; Valladolid; Remote; EUR 70,000 - 110,000; Full time

Job summary

Cytel Inc. is seeking a Senior/Principal Statistical Programmer to work remotely for a sponsor-driven pharmaceutical program. You will lead SDTM/ADaM data workflows, develop SAS programs, and deliver complex listings, tables and graphs in collaboration with statisticians.

You will oversee CRO programming delivery, ensure regulatory readiness, and contribute to SOPs while maintaining high-quality outputs across studies. Strong communication and independent work are essential.

Qualifications

• Bachelor's degree in computer science, data science, mathematics, or statistics.
• 7+ years as a Statistical Programmer in Biotech/Pharma clinical development.
• Strong SAS programming skills and CDISC SDTM/ADaM experience.
• Experience supporting regulatory submissions and FDA interactions.

Responsibilities

• Generate SDTM, ADaM specifications, datasets, reviewer's guide and define.xml files for multiple studies.
• Develop SAS programs which generate datasets, listings, tables, and graphs.
• Deliver high-quality statistical programming results, validating SAS and/or R programs.
• Oversee CRO programming deliverables to meet timelines.
• Support preparation of clinical study reports, regulatory submissions, DSUR, and analyses.
• Contribute to creation and validation of programming standards and SOPs.
• Collaborate with CROs and vendors to meet project goals.

Skills

SAS programming

Leadership

Communication skills

Independent worker

Education

Bachelor's degree in CS/Math/Stats

Tools

SAS

R

Python

Unix/Linux

git

CDISC SDTM/ADaM

Job description

Cytel Inc. is seeking a Senior/Principal Statistical Programmer to work remotely for a sponsor-driven pharmaceutical program. You will lead SDTM/ADaM data workflows, develop SAS programs, and deliver complex listings, tables and graphs in collaboration with statisticians.

You will oversee CRO programming delivery, ensure regulatory readiness, and contribute to SOPs while maintaining high-quality outputs across studies. Strong communication and independent work are essential.