{"schemaVersion":"jobsearcher.job.v1","id":"3e3fd1ad18a3a3f64d9deb1d","url":"https://jobsearcher.com/jobs/3e3fd1ad18a3a3f64d9deb1d","canonicalUrl":"https://jobsearcher.com/jobs/3e3fd1ad18a3a3f64d9deb1d","title":"Lead Statistical Programmer - Global Studies (Remote)","description":"Contact: Neisha Camacho/Terra Parsons - teamnt@penfieldsearch.com No 3rd party candidatesWe are seeking a highly experienced Statistical Programmer to lead programming activities across global clinical studies. This role operates beyond executional programming, with responsibility for oversight of CRO deliverables, validation of outputs, and end-to-end accountability for statistical programming packages.Key ResponsibilitiesLead statistical programming activities across global studies (EU and China exposure preferred)Serve as primary programming lead in collaboration with BiostatisticsDevelop, review, and validate SDTM and ADaM datasets in accordance with CDISC standardsReview specifications and proactively challenge inconsistencies in protocols, SAPs, and dataset definitionsValidate program outputs and ensure accuracy, quality, and regulatory complianceProvide oversight and guidance to CRO partners, consolidating and communicating feedback effectivelyManage timelines, delivery packages, and milestone commitmentsContribute to continuous improvement of programming processes and standardsCore RequirementsStrong expertise in CDISC standards, including ADaM and SDTMDemonstrated experience reviewing specs and ensuring high-quality, submission-ready deliverablesWorking experience in LSAF environmentExperience validating CRO programming deliverablesAbility to operate with increased performance accountability and ownershipStrong CRO-facing communication and collaboration skillsProven ability to manage multiple global studies simultaneouslyQualificationsBachelor's or Master's degree in Statistics, Mathematics, Computer Science, or related field5+ years of SAS programming experience within pharmaceutical/biotechStrong understanding of statistical methods used in clinical trial analysisKnowledge of Good Programming Practices and GCPPreferredExperience with R programmingAdditional RequirementsHands-on experience withLSAF- Life Sciences Analytical FrameworkPractical experience with multiple imputation (MI), particularly under Missing at Random (MAR) assumptionsFamiliarity with the estimands framework (ICH E9 R1) and managing intercurrent events (ICEs) within ADaM domains using various strategiesJ-18808-Ljbffr","company":"Penfield Search Partners","rawCompany":"penfield search partners","isRemote":true,"isActive":false,"createdAt":"2026-05-12T08:45:24.530Z","occupations":[{"code":"15-2041.01","title":"Biostatisticians","slug":"biostatisticians"},{"code":"15-2041.00","title":"Statisticians","slug":"statisticians"},{"code":"15-2051.02","title":"Clinical Data Managers","slug":"clinical-data-managers"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541714","title":"Research and Development in Biotechnology (except Nanobiotechnology)","slug":"research-and-development-in-biotechnology-except-nanobiotechnology"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Statistical Programmer - Global Studies (Remote)","description":"Contact: Neisha Camacho/Terra Parsons - teamnt@penfieldsearch.com No 3rd party candidatesWe are seeking a highly experienced Statistical Programmer to lead programming activities across global clinical studies. 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