Senior Statistical Programmer (SAS + R) – Remote

The Door Talent; Oña; Remote; EUR 90,000 - 130,000; Full time

Job summary

Cytel Inc. is seeking a Senior/Principal Statistical Programmer to work remotely on global pharmaceutical projects. You will develop SAS and R programs, generate SDTM/ADaM outputs, and oversee CRO programming to ensure timely, high-quality data delivery for regulatory submissions.

You will work with FDA/ICH guidelines, contribute to study reports and exploratory analyses, and collaborate across internal and external teams in a fast-paced biostatistics environment.

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 Team or similar.
• Exceptional SAS programming skills and experience in a clinical development environment.
• Extensive experience with CDISC standards (SDTM, ADaM, Define.xml), medical terminology, trial methodologies, FDA/ICH regulations.

Responsibilities

• Generate SDTM/ADaM specifications, datasets, reviewer's guides and define.xml files.
• Develop SAS programs to produce datasets, listings, tables, and graphs.
• Lead CRO programming deliverables and ensure high-quality, timely outputs.
• Support clinical study reports, regulatory submissions, publications, and DSURs.

Skills

SAS programming

CDISC SDTM/ADaM

R programming

Python

Unix/Linux

Git

Regulatory submissions

Education

Bachelor's degree in CS/Data Science/Math/Statistics

Tools

SAS

R

Python

Java

Shiny

Markdown

Unix/Linux

git

Job description

Cytel Inc. is seeking a Senior/Principal Statistical Programmer to work remotely on global pharmaceutical projects. You will develop SAS and R programs, generate SDTM/ADaM outputs, and oversee CRO programming to ensure timely, high-quality data delivery for regulatory submissions.

You will work with FDA/ICH guidelines, contribute to study reports and exploratory analyses, and collaborate across internal and external teams in a fast-paced biostatistics environment.