Jobs at Cytel

Leads statistical programming for pharmaceutical clinical development studies. Develops and validates SAS and R programs, SDTM and ADaM datasets, tables, listings, figures, Define.xml files, and regulatory submission deliverables. Oversees CRO programming work, supports clinical reports and regulatory interactions, maintains programming standards, contributes to CRF and validation planning, and collaborates with clinical, statistical, vendor, and regulatory 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.

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.

Lead and implement statistical programming for clinical trials: generate SDTM/ADaM/Define.xml, develop and validate SAS/R programs, produce tables/listings/figures, oversee CRO deliverables, support regulatory submissions and clinical study reporting, and maintain programming standards and SOPs.

Lead and perform SAS-based data manipulation, analysis, and reporting for Phase I-IV clinical trials. Develop and validate SDTM and ADaM datasets, produce TLFs, perform QC/validation, generate ad-hoc reports, prepare submission documents (define.xml), support efficacy analyses, communicate with cross-functional teams, and perform study lead duties as needed.

Lead or support Phase I-IV clinical trial programming: create and validate SDTM/ADaM datasets, produce TLFs and ad‑hoc reports, perform QC/validation, prepare submission documents, liaise with cross‑functional teams, and provide study lead duties as needed.

The Principal Biostatistician leads clinical studies, provides statistical expertise for trial processes, and collaborates with sponsor teams on HTA submissions.

Performs statistical programming for Phase I-IV clinical trials, including SAS-based data manipulation, analysis, reporting, SDTM and ADaM dataset development, TLF production, QC validation, efficacy analysis, ad hoc reporting, and regulatory submission documentation. Communicates with cross-functional and client teams, supports multiple projects, and provides study leadership when needed.

Lead statistical strategy and delivery for Phase I-IV clinical trials embedded with a pharmaceutical sponsor. Design analyses, support protocol and reporting activities, oversee programming/CRO work, apply SAS/R (R Shiny)/Python and ML/DL methods for analyses and automation, and mentor junior statisticians.

Lead or support Phase I-IV clinical trial programming using advanced SAS and CDISC (SDTM/ADaM). Produce and QC datasets, TLFs, ISS/ISE, submission documents (define.xml), and ad-hoc reports. Communicate with cross-functional teams, perform lead duties as needed, and deliver high-quality outputs on tight timelines within a global team.

Lead and deliver statistical programming for sponsor clinical trials: generate SDTM/ADaM specs and datasets, implement and validate SAS programs, produce tables/listings/figures, oversee CRO programming deliverables, support regulatory submissions and clinical study reports, and develop programming standards, SOPs, and documentation.