Bayer
R&D Data Management Reference Data Tech(m/w/x)
Full-timeWith HomeofficeSenior
Wuppertal, Berlin
from 88,900 - 108,000 / year
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BABayer
.R&D Data Management Reference Data Tech(m/w/x)
Berlin
from 88,900 - 108,000 / year
Full-timeWith Home OfficeSenior
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- Python
- SPARQL
- OWL
- SKOS
- SHACL
- AWS
- Databricks
Benefits
Bonuses & Incentives
- Variable compensation component
Other Benefits
- Flexible benefits package
Flexible Working
- Hybrid work models
- Part-time arrangements
- Flexible work arrangements
Childcare
- Company daycare centers
- Childcare support
- Summer camps for children
Family Support
- Time off for family care
Learning & Development
- Learning and development opportunities
- Training programs
Mentorship & Coaching
- Development dialogues
- Coaching programs
- Mentoring programs
Healthcare & Fitness
- Health checks
Informal Culture
- Inclusive work environment
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Bayer and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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BABayer
.R&D Data Management Reference Data Tech(m/w/x)
Berlin
from 88,900 - 108,000 / year
Full-timeWith Home OfficeSenior
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- Python
- SPARQL
- OWL
- SKOS
- SHACL
- AWS
- Databricks
Benefits
Bonuses & Incentives
- Variable compensation component
Other Benefits
- Flexible benefits package
Flexible Working
- Hybrid work models
- Part-time arrangements
- Flexible work arrangements
Childcare
- Company daycare centers
- Childcare support
- Summer camps for children
Family Support
- Time off for family care
Learning & Development
- Learning and development opportunities
- Training programs
Mentorship & Coaching
- Development dialogues
- Coaching programs
- Mentoring programs
Healthcare & Fitness
- Health checks
Informal Culture
- Inclusive work environment
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Bayer and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Bayer
Industry
Pharmaceuticals
Description
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.
Not a perfect match?
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