Teams at Cytel

Lead or support Phase I-IV clinical trial statistical programming using SAS, including clinical data manipulation, efficacy and safety analysis, SDTM and ADaM dataset development, TLF generation, QC, validation, ad-hoc reporting, and regulatory submission documentation. The role requires collaboration with cross-functional pharmaceutical teams, potential study leadership, troubleshooting, and delivery of high-quality outputs under challenging timelines.

The Principal Statistical Programmer develops and validates SAS and R programs, SDTM and ADaM datasets, specifications, tables, listings, graphs, Define.xml files, and reviewer’s guides for clinical trials. The role supports regulatory submissions, clinical study reports, data validation, CRF and edit-check development, vendor data transfers, and CRO oversight. It requires extensive oncology expertise, independent ownership of multiple studies, compliance with FDA and CDISC standards, and collaboration across global clinical development teams.

Independently leads statistical programming for pharmaceutical clinical development studies. Develops and validates SAS and R programs, SDTM and ADaM datasets, specifications, tables, listings, graphs, and regulatory submission deliverables. Oversees CRO programming work, supports clinical study reports and FDA submissions, maintains programming standards, contributes to CRFs and validation plans, and collaborates with clinical, regulatory, vendor, and development teams.