R&D Data Management Reference Data Tech | R&D Data Management Reference Data Tech (alle Geschlechter)

Bayer AG Pharmaceuticals

Wuppertal, Nordrhein-Westfalen, Deutschland
Published May 22, 2026
Full-time
No information

Job Summary

Join Bayer as an R&D Data Management Reference Data Tech, a pivotal role bridging R&D data strategy, scientific users, and IT teams. You will be instrumental in developing and managing reference and master data within a global data landscape, based in Wuppertal or Berlin. This position involves close collaboration with data producers and users across various R&D, clinical, and regulatory functions, as well as data architects and IT teams. The role requires a Master's degree in Life Sciences, Computer Science, or a related field, coupled with extensive experience in data modeling, metadata management, and working with life science or medical data. Proficiency in data governance, ontologies, knowledge graphs, and specific industry standards is essential. If you are a detail-oriented, independent yet team-oriented professional with strong communication skills and a passion for tackling global challenges, this is an excellent opportunity to make a significant impact.

Required Skills

Education

Master's degree in Life Sciences, Computer Science, or Computer Science with a biomedical focus

Experience

  • Extensive experience in data modeling, architecture, metadata management, and controlled vocabularies for the biomedical domain
  • Proven experience with life science or medical data, including data modeling and high-level ETL pipeline design
  • Experience with TopBraid EDG or similar ontology management systems
  • Basic programming skills in SQL, Python, and SPARQL
  • Experience with industry reference data standards (e.g., NCIT, NCBI, SPOR, CDISC, IDMP, USDM)
  • Familiarity with technologies such as AWS, Databricks
  • Profound knowledge in Data Governance, including access rights and user management

Languages

English (Fluent)

Additional

  • Not specified