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IQVIA

Senior Statistical Programmer – FSP

IQVIA

. Review submission-ready ADaM datasets, tables, figures, listings and submission packages .

Posted 9/25/2026full-timeNairobi • KenyaSeniorWebsite

About the role

Key responsibilities & impact
  • Review submission-ready ADaM datasets, tables, figures, listings and submission packages
  • Provide expertise in designing, developing and quality-controlling SAS programs for accessing, extracting, transforming, reviewing, analyzing and submitting clinical data
  • Collaborate with study teams on data structures and specifications for ADaM datasets, tables, figures, listings and analysis submission content
  • Ensure clinical data quality, accuracy and submission readiness according to regulatory requirements, including SDTM, ADaM, tables, figures, listings and define.xml
  • Lead pooled and exploratory analyses with Statistics TA leads, study statisticians and clinical programming teams
  • Lead in-house specification and delivery of ISS and ISE datasets and associated outputs when not provided by CROs
  • Lead design and implementation of complex SAS programs for analyzing and reporting clinical trial data in CDISC ADaM format
  • Lead development of global tools to increase Statistical Programming group efficiency and capacity
  • Plan and execute activities with clinical study teams to meet project timelines and deliver high-quality outputs
  • Collaborate with CR&D staff on data analysis requests
  • Perform additional statistical analyses supporting regulatory responses, integrated safety and efficacy summaries, publications, presentations, and clinical trial planning and reporting

Requirements

What you’ll need
  • BSc in Computer Science, Mathematics, Statistics or related area with relevant experience
  • At least 5+ years of experience in either clinical programming and/or statistical programming, within the CRO/pharmaceutical environment
  • Indepth understanding of clinical programming and/or statistical programming processes and standards
  • Extensive experience with statistical programming using the SAS software, including development and use of SAS Macros
  • Strong programming and problem-solving skills
  • Good hands-on experience in R Programming is mandatory
  • Advanced knowledge in CDISC standards (CDASH, SDTM, ADaM)
  • Proven experience in leading programming activities for pooled and exploratory analyses across multiple clinical studies and submission activities (or equivalent)
  • Proven ability to work effectively independently or in a team setting and meet set goals by managing own timelines
  • Experience working in cross-functional, multicultural and international clinical trial teams