Jobs at Cytel

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.

Perform advanced SAS programming to create and validate safety and efficacy SDTMs and pooled ADaM datasets for ISS and submission packages (define.xml, reviewer's guide). Produce TLFs and ad-hoc reports, apply CDISC standards, support oncology-focused studies, and prepare submission-ready deliverables using Pinnacle 21 and related tools.

Lead design and implementation of SDTM/ADaM specifications, datasets, and Define.xml; develop and validate SAS/R programs for tables, listings, figures and analyses; oversee CRO programming deliverables; support regulatory submissions, study reports, and standards development; collaborate across functions and author SOPs related to statistical programming.

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.

Design, develop, and maintain BI Publisher, OTBI, and OAC reports and dashboards; modify invoice templates; manage scheduled jobs; build integrations via OIC and APIs; troubleshoot Fusion ERP↔EPM and external vendor integrations; connect OAC to various data sources; manage environment, security, and documentation.

Lead sponsor-dedicated statistical programming for clinical trials: create SDTM/ADaM specifications and datasets, develop and validate SAS programs, oversee CRO deliverables, support regulatory submissions and study reports, maintain programming standards, and collaborate across clinical and vendor teams.

Lead or support Phase I-IV clinical trial programming using SAS and CDISC standards to generate and validate SDTM/ADaM datasets, produce TLFs, perform QC/validation, create submission documents (define.xml), and communicate with cross-functional teams. Provide ad-hoc reports, efficacy analyses, and occasional study lead duties while working collaboratively in a global, remote environment.

Lead or support Phase I-IV clinical trial programming using advanced SAS and CDISC (SDTM/ADaM). Produce and validate SDTM/ADaM datasets, TLFs, define.xml and submission documents, perform QC/validation, ad-hoc reporting, efficacy analyses, and collaborate with cross-functional teams. Serve as study lead when required and deliver high-quality outputs on tight timelines.

Lead statistical programming for sponsor clinical trials: develop SDTM/ADaM specs and datasets, author validated SAS/R programs, oversee CRO deliverables, support regulatory submissions, and maintain programming standards and SOPs.

Lead statistical activities for vaccine clinical development: author and review SAPs, analyze SDTM/ADaM data, produce TLFs, support regulatory submissions, and coordinate with sponsor teams.

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

Support early-phase (Phase I/IIa) clinical studies and biomarker analyses: contribute to study design, sample size calculations, analysis planning, statistical analyses, QC/review, reporting, and sponsor-facing communication.