Senior Statistical Programmer (SAS + R) - Remote

Empresa De Gestión Y Selección; Aragón; Remote; EUR 90,000 - 120,000; Full time

Job summary

Cytel Inc. is seeking a Senior/Principal Statistical Programmer (SAS + R) for a fully remote role embedded with a pharmaceutical client.

You will implement reporting and analysis activities across multiple studies, with responsibility for SDTM/ADaM outputs, define.xml, and reviewer guides, while collaborating with CROs to ensure high-quality deliverables. The ideal candidate has 7+ years in statistical programming in biotech/pharma, strong SAS skills, CDISC expertise, and experience with

Qualifications

• Bachelor's degree in computer science, data science, mathematics, or statistics
• 7+ years of experience as a Statistical Programmer on Biotech/Pharma Clinical Development Biometrics
• Exceptional SAS programming skills in clinical development environment
• Extensive experience with CDISC standards (SDTM, ADaM, Define.xml) and FDA/ICH regulation
• Experience supporting regulatory submissions and interacting with FDA or global authorities

Responsibilities

• Generate SDTM, ADaM specs, datasets, reviewers' guides and define.xml files for multiple studies
• Develop SAS programs creating datasets, complex listings, tables and graphs
• Deliver high-quality SAS/R programming results for clinical development programs
• Oversee CROs' statistical programming deliverables to meet timelines and quality

Skills

Leadership

Communication

Independence

CDISC standards

Education

Bachelor's degree in CS/Data/Math/Stats

Tools

SAS

R

Job description

Cytel Inc. is seeking a Senior/Principal Statistical Programmer (SAS + R) for a fully remote role embedded with a pharmaceutical client.

You will implement reporting and analysis activities across multiple studies, with responsibility for SDTM/ADaM outputs, define.xml, and reviewer guides, while collaborating with CROs to ensure high-quality deliverables. The ideal candidate has 7+ years in statistical programming in biotech/pharma, strong SAS skills, CDISC expertise, and experience with