Teams at Cytel

Designs, develops, and deploys secure, scalable AI solutions for Statistical Programming workflows. Builds Generative AI, RAG, and agentic applications involving ingestion, retrieval, code generation, validation, and human review. Develops reusable services and APIs while implementing traceability, reproducibility, evaluation, regression testing, monitoring, and LLMOps practices. Collaborates with programming, architecture, IT, security, validation, and governance teams to move AI proofs of concept into production, regulated environments.

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.