Statistical Programmer – 897270 UR

Location
Canton of Basel-Stadt (CH)
Salary
competitive
Posted
09 Feb 2021
Closes
11 Mar 2021
Hours
Full Time
Contract Type
Permanent
Experience Level
Experienced (non-manager)

Our client, an innovative and dynamic bio-pharmaceutical company headquartered in Switzerland, covering multiple therapeutic areas, committed into delivering products on the market over the next 5 years, is looking a Statistical Programmer for a Permanent role in Basel area.

Main Responsibilities:

  • Develops programs and generates Tables, Listings and Figures for trial or project specific reports and statistical analyses in agreement with trial documentation and guidelines from the trial programmer and/or the statistician. 
  • In agreement with the trial programmer and/or statistician, designs and implements trial and/ or project analysis data sets, including data derivations and data mapping.
  • Performs and documents quality control (QC) activities as per company standard operating procedures (SOPs), working practices and guidance from the trial programmer.
  • Delivers listings, summary reports and figures to the trial programmer and/ or the statistician as per the reporting event timelines. 
  • Maintains up-to-date documentation for the programs, metadata, data sets, reports and analyses that are under his/her responsibility, files all relevant trial documents in the eTMF. 
  • Supports the implementation of computerized systems/subsystems and tools that facilitate the reporting and documentation of statistical analyses.
  • Complies with ICH-GCP regulations and company SOPs.

Qualifications and Experience:

  • Relevant working/residency permit or Swiss/EU-Citizenship required.
  • University degree preferably in mathematics, informatics or other scientific discipline.
  • Good knowledge of programming in SAS (at minimum SAS base, SAS macro).
  • Basic knowledge of R, knowledge of other programming languages and of data management principles and tools is an asset.
  • Understanding of statistical concepts in clinical trials (descriptive statistics, classical hypothesis testing, etc.).
  • Understanding of CDISC data models, especially SDTM and ADaM.
  • Ability to analyze problems and formulate ideas in a structured and logical manner.
  • Must be able to work according to operating procedures, specifications and timelines.
  • Previous experience in statistical programming, especially in a pharmaceutical company or a clinical research organization (CRO) is an asset.
  • Ability to communicate effectively in English.
  • Ability to work independently with commitment to achieve common goals.

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