Jobs at Cytel

Support Phase I and IIa clinical studies and biomarker development through study design contributions, analysis planning, statistical analyses, reporting, quality control, documentation review, and exploratory analyses. Use SAS and R to analyze and interpret results, ensure deliverable quality, and communicate statistical methods and findings to pharmaceutical sponsors and stakeholders. May lead study or publication activities.

Develop automation and AI solutions supporting pharmaceutical clinical trials. Interpret requirements, identify workflow improvements, build proof-of-concept tools using R, Shiny, and LLM-supported coding, and mature successful prototypes into validated, documented, reusable solutions. Collaborate with statisticians, programmers, data scientists, and AI leads while ensuring testing, traceability, audit trails, version control, and compliance with regulated clinical development expectations.

The Principal Statistical Programmer independently develops, validates, and maintains SAS and R programs for clinical trials. Responsibilities include creating SDTM and ADaM datasets, specifications, tables, listings, figures, Define-XML files, and regulatory submission materials. The role oversees CRO programming deliverables, supports clinical reports and data validation, applies FDA and ICH requirements, contributes to standards and SOPs, and collaborates with statisticians, vendors, CROs, and clinical development teams.

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 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.

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.