Jobs at Cytel

Leads statistical programming for pharmaceutical clinical development studies, generating SDTM and ADaM datasets, specifications, tables, listings, graphs, and regulatory documentation. Develops, validates, and maintains SAS and R programs; supports FDA submissions, clinical study reports, DSURs, publications, and data transfers. Oversees programming deliverables, maintains standards and macros, collaborates with CROs and vendors, and provides technical leadership and mentorship.

Performs statistical programming for Phase I-IV clinical trials, including clinical data manipulation, analysis, reporting, dataset and analysis file creation, TLF development and validation, ad hoc reporting, efficacy analysis, and submission package preparation. The role is designed for a recent graduate and involves working within a global pharmaceutical client team while following established processes and meeting deadlines.

Provides expert leadership and oversight of CDISC standards across clinical studies and regulatory submissions. Reviews SDTM and ADaM datasets, annotated CRFs, define.xml files, Reviewer's Guides, and submission packages for compliance, traceability, and quality. Advises cross-functional teams and CROs, supports standards governance, develops documentation and training, mentors programmers, and improves global programming processes and submission readiness.

Supports epidemiology and real-world evidence studies by preparing claims and EHR data, developing analytical databases, programming statistical analyses, creating algorithms, linking datasets, and producing tables, figures, reports, and presentations. Partners with epidemiologists, statisticians, vendors, clients, and internal stakeholders across Medical Affairs, Patient Safety, Risk Management, and Clinical Development. Requires expertise in SQL, SAS or R, RWE data sources, applied statistics, and project management.

Provides technical and functional leadership for epidemiological and real-world evidence statistical programming. Leads hands-on development and validation of SAS and R programs, analysis datasets, tables, figures, and reproducible workflows using healthcare data. Mentors programmers, oversees internal and CRO deliverables, establishes standards and quality processes, supports regulatory and scientific outputs, and collaborates with epidemiologists, statisticians, and data scientists across projects and therapeutic areas.

Supports epidemiology and real-world evidence studies by preparing claims and EHR data, developing analytical databases, conducting statistical analyses, and producing tables, figures, reports, and presentations. The role assists with protocols and analysis plans, coordinates with data vendors and stakeholders, applies regression and survival methods, and supports Medical Affairs, Patient Safety, Risk Management, and Clinical Development initiatives. Strong SQL, SAS, or R expertise and experience with pharma RWE analytics are required.

Lead or support Phase I-IV clinical trial programming using SAS and CDISC standards to generate and validate SDTM/ADaM datasets, TLFs, and submission documents. Perform production and QC/validation programming, complex ad-hoc reports, and efficacy analyses while coordinating with cross-functional teams and serving as study lead when required.

Manage sponsor-dedicated clinical development projects for a pharmaceutical client. Coordinate clinical data standards and statistical programming, operational transitions, documentation, inspection readiness, SOP updates, project plans, risks, resources, and stakeholder communications. Facilitate cross-functional collaboration among Data Management, Biostatistics, Statistical Programming, and Clinical Operations teams while supporting process optimization and operational transformation.

Develops, validates, and maintains Power BI clinical, safety, and operational dashboards for trial monitoring and data review. Creates visualization standards, reusable components, specifications, and quality-control processes. Translates study needs into reliable dashboard solutions and collaborates with Statistics, Data Management, Clinical Operations, Safety, Standards, and external partners. Applies Power BI, SAS, Python, R, automation, and emerging analytics technologies across the clinical data lifecycle, using CDISC standards including CDASH, SDTM, and ADaM.

The Senior Revenue Accountant owns global revenue recognition and reporting across three business units. Responsibilities include month-end close, percentage-of-completion revenue calculations, contract review, ASC 606 and US GAAP compliance, account reconciliations, controls, audit support, executive reporting, and process improvements. The role collaborates extensively with Finance, Legal, Sales Operations, Commercial Operations, and business development teams.

Lead statistical activities for Phase II–III clinical trials from protocol design through reporting. Responsibilities include SAP development, sample size calculations, statistical analysis, TLF review, database lock and submission support, regulatory responses, vendor oversight, and cross-functional collaboration. Use SAS and/or R for analyses, modeling, simulation, exploratory work, and quality control. Coordinate statistical activities across studies and apply adaptive, group sequential, count-data, machine learning, and deep learning methods.

Leads portfolio strategy, solution architecture, commercial growth, and delivery alignment for complex life sciences services. Partners with business development, marketing, sales, and functional experts to shape opportunities, design scalable offerings, support proposals, and improve profitability. Oversees portfolio governance, client outcomes, forecasting, scope management, and sales-to-delivery handoffs. Represents the organization with strategic clients and through industry thought leadership.