Job
- Level
- Senior
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- 88.900 to 108.000€ Gross/Year
- Location
- Berlin, Wuppertal
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop reference and master data in a global data landscape and work closely with various teams to create and manage data structures in OneEDG.
Job Technologies
Your role in the team
- In this role as R&D Data Management Reference Data Tech, you act as the central interface between the R&D Data Strategy & Governance team, scientific data users, and IT teams, and are responsible for the development and management of reference and master data within a global data landscape.
- The position involves collaboration and the development of close partnerships with: data producers, users, owners, and managers in the fields of research biology and translational science (RED CVRI, RED Onc), drug discovery (DDS), and preclinical research (PCD), as well as in the areas of CMC (Pharmaceutical Sciences), clinical development, regulatory affairs, pharmacovigilance, etc. This may include laboratory and computer scientists, clinicians, statisticians, and professionals from business operations.
- Support in the technical development of reference and master data sets in OneEDG, including business-defined technical mappings (e.g., industry classification, management hierarchies).
- Ensuring that the technical foundation and reference data tools are continuously aligned with business objectives (e.g., semantic modeling and AI solutions).
- Collaboration with standardization teams, scientific data users (scientists/data scientists), Business Data Stewards, and IT to assess the need for reference and master data as well as usage expectations.
- Creation of new data structures or updating/modifying existing data structures in OneEDG and/or MARLAY, as well as lifecycle management of reference data.
- Performing limited technical adjustments in OneEDG, e.g., adding new columns via the OneEDG user interface. Programming skills are not required.
- Support for the timely and efficient provision of reference data for downstream workflows while maintaining traceability.
- Creation and maintenance of documentation as well as acting as a subject matter expert for data definitions, data flows, data models, etc., for the relevant reference data.
- Training and ongoing support for R&D teams regarding the tools and technologies used in reference and master data management.
- Contribution to raising awareness and implementing data standards, governance principles, and best practices in reference data management across the entire R&D sector.
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Our expectations of you
Education
- Master's degree in Life Sciences, Computer Science, or Computer Engineering with a focus on Biomedical Sciences.
Qualifications
- In-depth knowledge of ontologies, knowledge graphs, semantic data representation, industry-standard reference data standards such as NCIT, NCBI, SPOR, CDISC, IDMP, USDM, etc., as well as technologies like AWS, Databricks, etc.
- In-depth knowledge in the field of Data Governance, including access rights and user management in digital and business workflows.
- Independent, autonomous, yet team-oriented, detail-oriented, structured, and process-driven practitioner with reliable project management skills, capable of influencing various stakeholders and managing ambiguities in a complex and evolving environment.
- Effective communicator with high learning agility, capable of mediating between different departments and stakeholders as well as between business and technical disciplines.
- Excellent written and spoken English skills.
Experience
- Extensive experience in data modeling (relational, object-oriented, and graph-based), architecture, as well as metadata management and controlled vocabularies for the biomedical field.
- Proven experience working with data from life sciences or medicine, including data modeling and high-level design of ETL pipelines, as well as working with TopBraid EDG or similar ontology management systems; basic programming skills in SQL, Python, and SPARQL, as well as standards such as OWL, SKOS, and SHACL.
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What we offer
- Our service package is flexible, appreciative, and tailored to your lifestyle because: What matters to you is important to us!
- We ensure your financial stability with an attractive salary ranging from €88,900 to €108,000 per year (full-time), plus a variable component.
- Your compensation is based on your qualifications, skills, and professional experience.
- Whether hybrid work models or part-time: Whenever possible, we give you the flexibility to work how, where, and when it suits you best.
- Your family comes first: We offer caring corporate daycare centers at many locations, support in finding childcare, leave for caring for family members, holiday programs, and much more.
- We promote your development through access to learning and development initiatives, training and workshops offered by the Bayer Learning Academy, development dialogues, as well as coaching and mentoring programs.
- We support your health and a self-care lifestyle through various measures, such as free health checks with the company doctor and health seminars.
- We celebrate diversity in an inclusive work environment where you are welcomed, supported, and encouraged to bring your whole personality.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
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Topics that you deal with on the job
Job Locations
This is your employer
Bayer AG
Bayer AG is a globally active company with core competencies in the life science fields of health and nutrition. We develop our products and services for the benefit of people and the planet, and are committed to addressing the global challenges of a constantly growing and aging world population.
Description
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Pharmaceutical Sector, Chemical Industry, Biotech
R&D Data Management Reference Data Tech
- Salary
- 88.900 to 108.000€ Gross/Year
- Location
- Berlin, Wuppertal
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
