Autonomous Principal Statistical Programmer – Global Clinical Trials

Cytel

Salem (OR)

On-site

USD 150,000 - 190,000

Full time

2 days ago
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Job summary

Cytel is seeking a Principal Statistical Programmer to work embedded with a pharmaceutical client, driving complex data analysis and SDTM/ADaM submissions. You will lead programming efforts, ensure regulatory compliance, and contribute to study-level documents.

Ideal candidates have 8+ years in pharma with expert SAS skills and CDISC experience, plus strong leadership and communication abilities to coordinate with cross-functional teams.

Qualifications

  • MS in biostatistics or a related field with 8+ years pharma experience, or BS with 10+ years.
  • Exceptional SAS programming skills for clinical data analysis and reporting.
  • Experience with CDISC standards (SDTM/ADaM) and Define.xml.
  • Regulatory submission experience with FDA/ICH guidance is a plus.
  • Ability to lead project teams and communicate complex technical solutions.

Responsibilities

  • Lead SAS programs for tables, listings, and figures for complex trials.
  • Develop and review documentation to support data analysis and CDISC submissions.
  • Ensure compliance with SOPs and regulatory standards.
  • Present progress and issues to management and stakeholders.
  • Mentor junior programmers and lead project sub-teams.

Skills

SAS programming
CDISC SDTM/ADaM
Define.xml
Regulatory submissions
Leadership
Excellent communication

Education

MS in biostatistics or related field
BS in biostatistics or related field

Tools

SAS
SAS Macro language
SAS/STAT
SAS/GRAPH

Job description

Cytel is seeking a Principal Statistical Programmer to work embedded with a pharmaceutical client, driving complex data analysis and SDTM/ADaM submissions. You will lead programming efforts, ensure regulatory compliance, and contribute to study-level documents.

Ideal candidates have 8+ years in pharma with expert SAS skills and CDISC experience, plus strong leadership and communication abilities to coordinate with cross-functional teams.

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