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Job Description Summary
The Statistical Programmer II will support, or lead non-complex, statistical programming activities conducted on client clinical projects, producing high quality deliverables to agreed timelines, while following relevant standard operating procedures.
Job Description

KEY RESPONSABILITIES

• Act as support statistical programmer on clinical projects
• Act as lead statistical programmer on non-complex clinical projects
• Specify, program and validate CDISC SDTM and ADaM datasets
• Specify, program and validate the statistical analysis results including analysis datasets, tables, listings and figures
• Produce and review CDISC documentation
• Create and validate randomization lists
• Ensure compliance to SOPs
• Provide guidance on tasks carried out by statistical programmers
• Communicate effectively with internal and external project teams
• Participate to internal initiatives to improve department processes
• Report issues to Project Manager/Associate Director in an appropriate timeframe
• Conduct other statistical programming related activities as required

DESIRED QUALIFICATION & EXPERIENCE

• BSc/MSc or equivalent with experience, preferably in Statistics, Computer Science, or Mathematics
• At least 1 year of experience in statistical programming
• Good SAS programming skills
• Good R language programming skills
• Good knowledge of principles and techniques for clinical research
• Good English communication
• Good knowledge of MS Office Suite

TECHNICAL COMPETENCES & SOFT SKILLS

• Trustworthy
• Quality focused
• Willingness to learn
• Team player
  Languages
  English
  Education
  Bachelor of Science (BS): Computer and Information Science, Bachelor of Science (BS): Mathematics, Bachelor of Science (BS): Statistics
  Contract Type
  Regula

The Statistical Programmer II will support, or lead non-complex, statistical programming activities conducted on client clinical projects, producing high quality deliverables to agreed timelines, while following relevant standard operating procedures.