Teams at ClinChoice

Develop and validate SDTM and ADaM datasets using R following CDISC standards, support TLF generation in R/SAS, perform QC and reconcile data issues, collaborate with statisticians and clinical teams, document workflows, and support automation of R-based pipelines for clinical trial deliverables.

Lead end-to-end statistical programming for oncology clinical trials: develop and validate SDTM/ADaM datasets, produce TLFs, support integrated analyses (ISS/ISE), manage study timelines and vendors, and prepare submission-ready outputs (define.xml, annotated CRFs, reviewer guides) for regulatory submissions (FDA/EMA/PMDA).

The Principal Statistical Programmer Consultant leads programming efforts for clinical studies, ensuring quality deliverables and compliance with industry standards, while collaborating with study teams and managing concurrent project activities.