Lead Statistical Programmer – SAS, SDTM/ADaM Expert

Remotedxb

Dubai

On-site

AED 300,000 - 600,000

Full time

14 days+
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Job summary

Remotedxb in Dubai, UAE seeks a Senior Statistical Programmer to lead programming for clinical studies. You will design, validate SDTM/ADaM datasets, and produce tables, listings and figures, ensuring audit-ready documentation in a deadline-driven setting.

Strong SAS skills and regulatory knowledge are essential, with the ability to work independently and collaborate with cross-functional teams to resolve data issues and file submissions.

Qualifications

  • Bachelor's degree in Statistics, Biostatistics, Mathematics, Computer Science, or a related field.
  • Minimum of 10 years of relevant statistical programming experience in pharmaceutical, biotechnology, or CRO industry.
  • Strong SAS programming skills.
  • Experience developing SDTM, ADaM, tables, listings, and figures.
  • Strong knowledge of clinical trial processes and regulatory requirements.
  • Ability to work independently in a deadline-driven environment.

Responsibilities

  • Program and validate tables, listings, figures, and derived datasets using SAS
  • Develop SDTM and ADaM specs, datasets, and supporting documentation
  • Prepare and review mapping specifications, annotated case report forms (aCRF), and submission files
  • Perform quality control and validation activities for all programming deliverables
  • Collaborate with study team members to resolve data and output issues
  • Maintain complete, accurate, and audit-ready programming documentation
  • Communicate project status, risks, and timeline impacts to stakeholders

Skills

Statistical programming
Independent worker
Communication

Education

Bachelor's degree in Statistics/Biostatistics/Mathematics/Computer Science
Master's degree (preferred)

Tools

SAS
SDTM/ADaM

Job description

Remotedxb in Dubai, UAE seeks a Senior Statistical Programmer to lead programming for clinical studies. You will design, validate SDTM/ADaM datasets, and produce tables, listings and figures, ensuring audit-ready documentation in a deadline-driven setting.

Strong SAS skills and regulatory knowledge are essential, with the ability to work independently and collaborate with cross-functional teams to resolve data issues and file submissions.

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