Teams at Cytel

Support Phase I and IIa clinical studies and biomarker development through study design contributions, analysis planning, statistical analyses, reporting, quality control, documentation review, and exploratory analyses. Use SAS and R to analyze and interpret results, ensure deliverable quality, and communicate statistical methods and findings to pharmaceutical sponsors and stakeholders. May lead study or publication activities.

Develop automation and AI solutions supporting pharmaceutical clinical trials. Interpret requirements, identify workflow improvements, build proof-of-concept tools using R, Shiny, and LLM-supported coding, and mature successful prototypes into validated, documented, reusable solutions. Collaborate with statisticians, programmers, data scientists, and AI leads while ensuring testing, traceability, audit trails, version control, and compliance with regulated clinical development expectations.

The Principal Statistical Programmer independently develops, validates, and maintains SAS and R programs for clinical trials. Responsibilities include creating SDTM and ADaM datasets, specifications, tables, listings, figures, Define-XML files, and regulatory submission materials. The role oversees CRO programming deliverables, supports clinical reports and data validation, applies FDA and ICH requirements, contributes to standards and SOPs, and collaborates with statisticians, vendors, CROs, and clinical development teams.