Jobs at Cytel

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.

As a Senior Statistical Programmer, you will perform data analysis and reporting for clinical trials using SAS, ensuring quality outcomes in a collaborative environment.

The Principal Statistical Programmer will generate specifications and datasets, develop and validate SAS/R programs, oversee CRO deliverables, and ensure compliance with regulations for clinical studies.

Lead and manage a team within the Cytel Global Market Access unit, ensuring client satisfaction, project leadership, business development, and operational efficiency. Act as a thought leader in market access and supervise staff while fostering teamwork and continuous improvement.

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.

Provide data management support for clinical studies: review and clean trial data, resolve discrepancies via queries, manage user access in Medidata Rave, support database locks and documentation, collaborate with cross-functional teams, and ensure regulatory compliance with GCP/FDA/ICH.

Lead strategic statistical consulting engagements, design innovative statistical and clinical development solutions, build client relationships, grow business, mentor consulting teams, represent Cytel externally, and travel regularly to engage senior stakeholders.

The Senior Director, Business Development will drive Cytel’s Pharma client relationships, create strategic sales plans, and oversee client-focused initiatives to expand business growth.

As a Senior Statistical Programmer, you'll manage clinical trial data analysis and reporting, ensuring adherence to CDISC standards and statistical methodologies.

Transform operational data into actionable insights by building semantic models, reporting solutions and metrics (Power BI/Fabric, DAX, M, SQL). Ensure data quality, governance, access controls, troubleshooting, documentation, and stakeholder collaboration to enable self-service analytics.

The Senior Statistical Programmer will conduct data analysis and reporting for clinical trials, generate SDTM and ADaM datasets, and communicate with cross-functional teams while leading projects.

Lead statistical programming for real-world evidence and epidemiology studies: prepare and link RWD (claims/EHR), implement analytic plans, conduct regression and survival analyses, produce tables/figures, liaise with vendors and stakeholders, and support study reports and presentations.

Lead and support clinical trials, provide statistical expertise, manage teams, draft analysis plans, and ensure regulatory compliance for drug development.

Lead statistical programming for sponsor clinical trials: implement SDTM/ADaM/Define.xml, develop and validate SAS/R programs, oversee CRO deliverables, support regulatory submissions, and create standards, SOPs, and documentation.

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.

Lead global IT strategy and operations for a life‑sciences CRO: oversee cloud and infrastructure, cybersecurity and compliance (GxP/21 CFR/GDPR), enterprise applications and data strategy, digital transformation, vendor and budget management, and build a global IT organization to enable clinical research, data science, and product delivery.

Provide statistical support for German HTA (AMNOG) dossiers, collaborate with interdisciplinary teams, deliver and QC (re-)analyses per SAP, contribute to templates and methods, present methodology to stakeholders, and ensure compliance with guidelines.

Lead and deliver statistical support for Phase II-III clinical trials embedded with a sponsor: design input, SAP/sample size, interim/final analyses, oversight of programmers/statisticians, regulatory submissions, and collaborate cross-functionally to ensure compliant, high-quality statistical deliverables. Apply advanced statistical methods and ML/DL for analytics and process automation.