Principal Statistical Programmer

OverviewIn this role you will implement statistical analysis plans and deliver publication-ready data packages.You will collaborate with Medical Affairs biostatistics and programming teams and drive high-quality outputs within Sanofi Business Operations.You’ll develop non-routine macros, document methodologies, and ensure SOPs, timelines, and quality standards are met.You will contribute to cross-functional projects and support publication efforts through analyses and data visualization.This is an opportunity to influence medical data outputs at a global scale within a collaborative, science-driven environment.Compensaciones / Beneficioshybrid work arrangementcompetitive salary rangeemployee benefit programsequal opportunitiesglobal collaborationmentoring and professional developmentResponsabilidadesDesign, develop, test, implement, and document statistical programming in SASProduce publication-ready data packages (tables, listings, figures) and support post-hoc analysesDevelop and maintain QC plans and timelines in collaboration with global teamsCreate non-routine macros and advanced programming techniquesCollaborate with local and global biostatistics/programming teams to align outputsMentor and onboard new team members and support graduate hiring as neededRequisitos principalesMaster’s degree minimum; several years of relevant experienceAdvanced SAS programming skillsSDTM & ADaM (CDISC) and clinical data environment experienceStakeholder managementAbility to manage timelinesIndependent and collaborative work styleAdvanced SAS programmingSDTMADaM (CDISC)

This is an opportunity to influence medical data outputs at a global scale within a collaborative, science-driven environment.Compensaciones / Beneficioshybrid work arrangementcompetitive salary rangeemployee benefit programsequal opportunitiesglobal collaborationmentoring and professional developmentResponsabilidadesDesign, develop, test, implement, and document statistical programming in SASProduce publication-ready data packages (tables, listings, figures) and support post-hoc analysesDevelop and maintain QC plans and timelines in collaboration with global teamsCreate non-routine macros and advanced programming techniquesCollaborate with local and global biostatistics/programming teams to align outputsMentor and onboard new team members and support graduate hiring as neededRequisitos principalesMaster’s degree minimum; several years of relevant experienceAdvanced SAS programming skillsSDTM & ADaM (CDISC) and clinical data environment experienceStakeholder managementAbility to manage timelinesIndependent and collaborative work styleAdvanced SAS programmingSDTMADaM (CDISC)