Senior Statistical Programmer

New
J
JobgetherClinical research
Listing location: Germany; based in GermanyFull-TimeSenior
Salary not disclosed
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Job Details

Languages
Good English communication skills, both written and verbal
Experience
At least 3 years of professional experience in statistical programming
Required Skills
Microsoft OfficeR

Requirements

  • Bachelor's or Master's degree, or equivalent academic and professional experience, preferably in Statistics, Mathematics, Computer Science, or a related discipline.
  • At least 3 years of professional experience in statistical programming.
  • Excellent SAS programming skills, including developing, validating, and troubleshooting complex deliverables.
  • Strong knowledge of CDISC standards, particularly SDTM and ADaM, and their application in clinical research.
  • Good understanding of clinical research principles, statistical programming methodologies, and clinical trial data requirements.
  • Experience producing and validating statistical analysis datasets, tables, listings, and figures is highly desirable.
  • Familiarity with R programming is an advantage.
  • Understanding of clinical trial randomization processes and associated programming requirements is beneficial.
  • Good knowledge of Microsoft Office applications and professional documentation tools.
  • Good written and verbal English communication skills.
  • Ability to prioritize responsibilities, manage competing deadlines, and work across multiple projects.
  • Ability to supervise colleagues, delegate tasks, and provide technical guidance.

Responsibilities

  • Lead statistical programming activities across clinical research projects and deliver accurate outputs on time.
  • Specify, develop, program, and validate CDISC-compliant SDTM and ADaM datasets.
  • Develop and validate statistical analysis datasets, tables, listings, and figures.
  • Prepare, review, and maintain statistical programming documentation and CDISC deliverables.
  • Create, validate, and maintain clinical trial randomization lists.
  • Monitor process deviations, KPIs, customer complaints, and corrective and preventive actions.
  • Supervise programming tasks and provide technical guidance to team members.
  • Support resource planning, workload allocation, and training for programming teams.
  • Identify and implement programming tools, techniques, and process improvements.
  • Collaborate with project stakeholders and Quality Assurance teams, escalating technical challenges and delivery risks.
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