Jobs at Cytel

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.

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.

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.

Provides statistical support for Phase I–IV clinical trials, including study design, sample size calculations, protocol development, SAPs, CRF and data review, statistical analyses, clinical study reports, regulatory submissions, and ADaM/CDISC compliance. Collaborates with clinical, regulatory, CRO, vendor, and programming teams; reviews outputs, develops standards, and communicates statistical methods and results.

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.

Provides executive scientific and strategic leadership in quantitative clinical pharmacology consulting. Leads Pop-PK, PK-PD, NCA, MIDD, regulatory strategy, trial design, and quantitative decision-making engagements. Develops thought leadership, manages major client relationships, supports business development, mentors quantitative teams, and collaborates with statisticians, software teams, business developers, and data scientists. The role also involves regulatory authority engagement, technical oversight, publications, presentations, and client travel.

Leads moderately complex clinical trial projects, managing teams, client relationships, timelines, scope, budgets, quality, documentation, financial performance, and contractual requirements. Serves as the primary customer contact and communicates project status, forecasts, risks, and changes to sponsors and company management.

Drive revenue growth across the DACH territory by acquiring and managing customers, leading end-to-end consultative sales cycles, developing target accounts, managing pipelines, exceeding sales targets, and positioning Cytel’s services and solutions. The role includes territory strategy, executive-level client engagement, relationship building, industry events, and collaboration with internal experts and leadership.

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 territory revenue growth by managing full sales cycle, building long-term client relationships, evangelizing Cytel solutions, organizing events, and exceeding quarterly targets through strategic, consultative selling and pipeline management.

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.

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.

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.

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.

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.