At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ,Health for all, Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.
R&D Data Management Reference Data Tech (all genders)
In this role as R&D Data Management Reference Data Tech (all genders), you will act as a key link between R&D Data Strategy & Governance, scientific data users, and IT teams, driving the development and management of reference and master data within a global data environment, based in Wuppertal or Berlin.
STAKEHOLDERS
The role will interact and establish strong partnerships with:
- Data producers, consumers, owners and stewards in Research Biology and Translational Science (RED CVRI, RED Onc), Drug Discovery (DDS) Preclinical Research (PCD) while CMC (Pharmaceutical Sciences), Clinical Development, Regulatory, Pharmacovigilance etc. These could include lab and computational scientists, clinicians, statisticians, and business operations professionals
- Data architects, engineers, UI/UX engineers, product/platform/technology teams
- Vendors and external contract staff
- Support the technical establishment of reference and master data assets in OneEDG, including technical, business-defined mappings (e.g., industry classification, management hierarchies)
- Ensure the technical foundation and reference data tools are aligned with business objectives on a continuous basis (e.g. semantic modeling and AI solutions)
- Collaborate with standards teams, scientific data users (scientists/ data scientists), business data stewards and IT to assess reference and master data needs, usage expectations
- Create new data structures or update/change existing data structures in OneEDG and/or MARLAY or lifecycle management of reference data
- Perform limited technical adaptations in OneEDG, e.g., new columns, via the user interface of OneEDG. There is no expectation of coding
- Support the timely and effective delivery of reference data to consuming workflows while maintaining traceability
- Create and maintain documentation and act as an expert guide on data definitions, data flows, data models etc. for applicable reference data
- Provide training and ongoing support to R&D teams on tools and technologies used in reference and master data management
- Contribute to the awareness and adoption of data standards, governance principles, and best practices in Reference Data Management across R&D
- Master's degree in Biological Sciences, Informatics or Computer Science in a biomedical context
- Extensive years in data modeling (relational, object-oriented and graph based), architecture, and metadata management and controlled vocabularies for the biomedical domain
- Proven experience managing life sciences or medical data, including data modeling and high-level ETL pipeline design and working with TopBraid EDG or related ontology management systems; basic programming skills SQL, Python, and SPARQL, and standards like OWL, SKOS, and SHACL
- Deep understanding of ontologies, knowledge graphs, semantic data representation, common industry reference data standards such as NCIT, NCBI, SPOR, CDISC, IDMP, and USDM etc. and technologies such as AWS, Databricks etc.
- Strong grasp of data governance including access rights and user management in digital and business workflows
- Self-starter, independent yet collaborative, detail oriented, structured, process-oriented practitioner with reliable project management skills, able to influence a variety of stakeholders and manage ambiguity in a complex and changing environment
- Effective communicator with a high learning agility, capable of translating across multiple domains and stakeholder archetypes, between business and technical disciplines
- Excellent written and verbal communication skills in English
WHAT WE OFFER
Our benefits package is flexible, appreciative, and tailored to your lifestyle, because: What matters to you, matters to us!
- We ensure your financial stability with a competitive salary between 88.900€ and 108.000€ per year (full-time) plus a variable component. Your compensation is based on your qualifications, skills, and professional experience.
- Whether it’s hybrid work models or part-time arrangements: Whenever it is possible, you will have the flexibility to work how, when and where it is best for you.
- Your family is a top priority. We offer loving company daycare centers at multiple locations, support in finding childcare, time off for the care of elderly or dependent family members, summer camps for children, and much more.
- We support your professional growth by providing access to learning and development opportunities, training programs through the Bayer Learning Academy, development dialogues, as well as coaching and mentoring programs.
- We promote health awareness and opportunities for selfcare through various measures, such as free health checks with the company doctor.
- We embrace diversity by providing an inclusive work environment in which you are welcomed, supported, and encouraged to bring your whole self to work.
Be You. Be Bayer.
#LI-AMSEMEA
YOUR APPLICATION
This is your opportunity to tackle the world’s biggest challenges with us: Maintaining our health, feeding growing populations and slowing the rate of climate change. You have a voice, ideas and perspectives and we want to hear them. Because our success begins with you. Be part of something big. Be Bayer.
Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.
Location: Wuppertal-Aprath or Berlin
Division: Pharmaceuticals
Reference Code: 868625
