Senior Data Management Programmer – 7177

 

Our client is headquartered in Switzerland – a biotech-hub of Europe – is a high-potential  biopharmaceutical company, specialized in the discovery, development and commercialization of innovative small molecules, with the aim of transforming the horizon of therapeutic options is looking a Senior Data Management Programmer for a initial 2 years  contract based in Basel.

 

 Main Responsibilities:

 

·      Design, build, maintain and close clinical trial databases using EDC and paper-based systems.

·      Develop and maintain CDISC-compliant data standards, mappings and documentation.

·      Program data extractions, listings, edit checks, protocol deviation reports and custom functions.

·      Implement and manage CRF and non-CRF data handling procedures.

·      Test databases and validation procedures to ensure data integrity and quality.

·      Monitor data management activities across multiple clinical studies.

·      Identify process improvement opportunities and support implementation of innovative technologies.

·      Support programming activities for regulatory submissions and audit requirements.

·      Provide technical guidance and mentorship to team members.

 

Qualifications and Experience:

 

  • Relevant Swiss working/residency permit and/or Swiss/EU-Citizenship required;

·      Associate degree, Bachelor degree or equivalent in Mathematics, Informatics, Engineering or a related discipline.

·      Minimum 5 years of programming experience within Clinical Data Management in a pharmaceutical company or CRO.

·      Strong understanding of CDISC and SDTM standards.

·      Hands-on experience with Clinical Data Management Systems, EDC platforms and data reporting tools.

·      Knowledge of ICH-GCP, 21 CFR Part 11 and global clinical research regulations.

·      Advanced English language skills.

·      Clinical database design and validation.

·      Database build, derivations, coding and discrepancy management.

·      Clinical data reporting and extraction programming.

·      Development of global data standards and mappings.

·      Microsoft Office and Windows environment proficiency. 

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