Teams at Cytel

Leads biomedical data science for clinical and health research, integrating clinical, observational, EHR, genetic, wearable, electrophysiological, and video data. Develops signal-processing methods, machine-learning models, probabilistic and time-series analyses, scalable data pipelines, and reproducible workflows. Validates clinically relevant models, supports disease phenotyping and predictive modeling, ensures compliance with pharmaceutical and healthcare standards, and communicates technical findings to clients and stakeholders.

Leads statistical programming for pharmaceutical clinical trials, including SDTM and ADaM datasets, TLFs, specifications, reviewer’s guides, Define.xml files, and regulatory submissions. Develops, validates, and maintains SAS and R programs; supports oncology analyses, clinical study reports, CRFs, data validation, and vendor transfers. Oversees CRO programming deliverables, maintains programming standards and SOPs, ensures FDA/ICH compliance, and collaborates with clinical, statistical, regulatory, and external teams.

Performs SAS programming, data manipulation, analysis, reporting, and QC for Phase I–IV clinical trials. Generates and validates SDTM and ADaM datasets, tables, listings, figures, ad hoc reports, submission documents, and eCRTs. Supports efficacy and safety analyses, communicates with cross-functional teams and clients, contributes to study leadership, and delivers compliant outputs within challenging timelines.