Senior Statistical Programmer - Fsp - Barcelona

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Barcelona, Spain
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Data Analysis Computer Programming Data Structures R (Programming Language) SAS (Software) Data Delivery

Job description

OverviewCompruebe que cumple con los requisitos de habilidades para este puesto, así como con la experiencia asociada, y luego envíe su CV a continuación.In this role, you will lead the design, development, and QC of SAS programs to create ADaM datasets, tables, figures, and submission packages.You collaborate with study teams to ensure submission-ready data (SDTM/ADaM) and oversee complex analyses and data delivery for regulatory submissions.You will drive efficiency by developing global tools and leading programming activities across multiple studies.This is a hands-on, impact-oriented position within a cross-functional environment that shapes how data supports regulatory decisions and publications.ResponsabilidadesDesign data structure and specifications for ADaM datasets, tables, figures, listings, and submission contentEnsure submission readiness and data quality for SDTM, ADaM, tables, figures, listings, and define.XmlLead pooled and exploratory analyses, working with statistics leads and programming teamsOversee ISS and ISE dataset specification and delivery when not provided by CRODesign and implement complex SAS programs for CDISC ADaM data analysis and reportingDevelop global tools to improve efficiency and capacity of the Statistical Programming groupCoordinate with study teams to meet timelines and deliver high-quality outputsCollaborate with CR&D for data analysis requests; support regulatory responses, integrated summaries, publications, and exploratory analyses of available dataRequisitos principales5+ years in clinical programming and/or statistical programming in CRO/pharmaceutical environmentsDeep understanding of clinical programming processes and standardsExtensive SAS programming experience including SAS MacrosxqysrnhStrong programming and problem-solving skillsProficient in R programming (hands-on)Advanced knowledge of CDISC standards (CDASH, SDTM, ADaM)Proven experience leading programming activities for pooled and exploratory analyses across multiple studiesAbility to work independently or in teams and manage timelinesExperience in cross-functional, multicultural, international clinical trial teamscollaborationcommunicationproblem-solvingSAS programmingSAS MacrosR programming

Requirements

You will drive efficiency by developing global tools and leading programming activities across multiple studies. This is a hands-on, impact-oriented position within a cross-functional environment that shapes how data supports regulatory decisions and publications.ResponsabilidadesDesign data structure and specifications for ADaM datasets, tables, figures, listings, and submission contentEnsure submission readiness and data quality for SDTM, ADaM, tables, figures, listings, and define.XmlLead pooled and exploratory analyses, working with statistics leads and programming teamsOversee ISS and ISE dataset specification and delivery when not provided by CRODesign and implement complex SAS programs for CDISC ADaM data analysis and reportingDevelop global tools to improve efficiency and capacity of the Statistical Programming groupCoordinate with study teams to meet timelines and deliver high-quality outputsCollaborate with CR&D for data analysis requests; support regulatory responses, integrated summaries, publications, and exploratory analyses of available dataRequisitos principales5+ years in clinical programming and/or statistical programming in CRO/pharmaceutical environmentsDeep understanding of clinical programming processes and standardsExtensive SAS programming experience including SAS MacrosxqysrnhStrong programming and problem-solving skillsProficient in R programming (hands-on)Advanced knowledge of CDISC standards (CDASH, SDTM, ADaM)Proven experience leading programming activities for pooled and exploratory analyses across multiple studiesAbility to work independently or in teams and manage timelinesExperience in cross-functional, multicultural, international clinical trial teamscollaborationcommunicationproblem-solvingSAS programmingSAS MacrosR programming

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