Dein persönlicher KI-Karriere-Agent
.R&D Data Management Reference Data Tech(m/w/x)
Managing reference and master data in a global OneEDG environment for life sciences. Extensive data modeling and metadata management experience required. Variable compensation, flexible benefits, and hybrid work.
Anforderungen
- Master's degree in Biological Sciences, Informatics, or Computer Science
- Extensive data modeling, architecture, and metadata management experience
- Experience with controlled vocabularies for biomedical domain
- Proven experience managing life sciences or medical data
- Experience with data modeling and high-level ETL pipeline design
- Experience with TopBraid EDG or related ontology management systems
- Basic programming skills in SQL, Python, and SPARQL
- Knowledge of standards like OWL, SKOS, and SHACL
- Deep understanding of ontologies and knowledge graphs
- Deep understanding of semantic data representation
- Knowledge of reference data standards (NCIT, NCBI, SPOR, CDISC, IDMP, USDM)
- Familiarity with technologies such as AWS, Databricks
- Strong grasp of data governance
- Understanding of access rights and user management
- Self-starter, independent yet collaborative
- Detail oriented, structured, process-oriented practitioner
- Reliable project management skills
- Ability to influence stakeholders and manage ambiguity
- Effective communicator with high learning agility
- Capable of translating across multiple domains and stakeholder archetypes
- Capable of translating between business and technical disciplines
- Excellent written and verbal communication skills in English
Aufgaben
- Act as a key link between R&D Data Strategy, scientific data users, and IT teams
- Drive development and management of reference and master data in a global data environment
- Support technical establishment of reference and master data assets in OneEDG
- Ensure technical foundation and reference data tools align with business objectives
- Collaborate with standards teams, scientific data users, business data stewards, and IT
- Assess reference and master data needs and usage expectations
- Create and update data structures in OneEDG and MARLAY
- Manage lifecycle of reference data
- Perform limited technical adaptations in OneEDG via user interface
- Support timely and effective delivery of reference data to consuming workflows
- Maintain traceability of reference data
- Create and maintain documentation on data definitions, flows, and models
- Act as an expert guide on reference data
- Train and support R&D teams on tools and technologies
- Contribute to awareness and adoption of data standards and governance principles
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- SQL
- Python
- SPARQL
- OWL
- SKOS
- SHACL
- AWS
- Databricks
Benefits
Boni & Prämien
- Variable compensation component
Sonstige Vorteile
- Flexible benefits package
Flexibles Arbeiten
- Hybrid work models
- Part-time arrangements
- Flexible work arrangements
Kinderbetreuung
- Company daycare centers
- Childcare support
- Summer camps for children
Familienfreundlichkeit
- Time off for family care
Weiterbildungsangebote
- Learning and development opportunities
- Training programs
Mentoring & Coaching
- Development dialogues
- Coaching programs
- Mentoring programs
Gesundheits- & Fitnessangebote
- Health checks
Lockere Unternehmenskultur
- Inclusive work environment
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.R&D Data Management Reference Data Tech(m/w/x)
Managing reference and master data in a global OneEDG environment for life sciences. Extensive data modeling and metadata management experience required. Variable compensation, flexible benefits, and hybrid work.
Anforderungen
- Master's degree in Biological Sciences, Informatics, or Computer Science
- Extensive data modeling, architecture, and metadata management experience
- Experience with controlled vocabularies for biomedical domain
- Proven experience managing life sciences or medical data
- Experience with data modeling and high-level ETL pipeline design
- Experience with TopBraid EDG or related ontology management systems
- Basic programming skills in SQL, Python, and SPARQL
- Knowledge of standards like OWL, SKOS, and SHACL
- Deep understanding of ontologies and knowledge graphs
- Deep understanding of semantic data representation
- Knowledge of reference data standards (NCIT, NCBI, SPOR, CDISC, IDMP, USDM)
- Familiarity with technologies such as AWS, Databricks
- Strong grasp of data governance
- Understanding of access rights and user management
- Self-starter, independent yet collaborative
- Detail oriented, structured, process-oriented practitioner
- Reliable project management skills
- Ability to influence stakeholders and manage ambiguity
- Effective communicator with high learning agility
- Capable of translating across multiple domains and stakeholder archetypes
- Capable of translating between business and technical disciplines
- Excellent written and verbal communication skills in English
Aufgaben
- Act as a key link between R&D Data Strategy, scientific data users, and IT teams
- Drive development and management of reference and master data in a global data environment
- Support technical establishment of reference and master data assets in OneEDG
- Ensure technical foundation and reference data tools align with business objectives
- Collaborate with standards teams, scientific data users, business data stewards, and IT
- Assess reference and master data needs and usage expectations
- Create and update data structures in OneEDG and MARLAY
- Manage lifecycle of reference data
- Perform limited technical adaptations in OneEDG via user interface
- Support timely and effective delivery of reference data to consuming workflows
- Maintain traceability of reference data
- Create and maintain documentation on data definitions, flows, and models
- Act as an expert guide on reference data
- Train and support R&D teams on tools and technologies
- Contribute to awareness and adoption of data standards and governance principles
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- SQL
- Python
- SPARQL
- OWL
- SKOS
- SHACL
- AWS
- Databricks
Benefits
Boni & Prämien
- Variable compensation component
Sonstige Vorteile
- Flexible benefits package
Flexibles Arbeiten
- Hybrid work models
- Part-time arrangements
- Flexible work arrangements
Kinderbetreuung
- Company daycare centers
- Childcare support
- Summer camps for children
Familienfreundlichkeit
- Time off for family care
Weiterbildungsangebote
- Learning and development opportunities
- Training programs
Mentoring & Coaching
- Development dialogues
- Coaching programs
- Mentoring programs
Gesundheits- & Fitnessangebote
- Health checks
Lockere Unternehmenskultur
- Inclusive work environment
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Bayer
Branche
Pharmaceuticals
Beschreibung
Das Unternehmen ist entschlossen, die größten Herausforderungen unseres Planeten zu überwinden und zu einer Welt beizutragen, in der genug Nahrung und ausreichende medizinische Versorgung für alle Menschen erreichbar sind.
Noch nicht perfekt?
- Bayer
R&D Data Management Reference Data Tech(m/w/x)
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