About Bayer
At Bayer, we are 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.
Responsibilities
- Develop and implement scalable semantic data solutions for global R&D teams using data engineering, ETL processes, big data analytics, and NLP pipelines in collaboration with internal and external partners
- Establish and optimize sustainable, efficient, and scalable data processes as well as semantic data processing applications
- Analyze, assemble, and maintain large unstructured scientific datasets and prepare them for various analysis and business processes
- Support the analysis of large, complex data sets to generate actionable insights for research and development
- Contribute to the optimization of internal R&D processes through automation and advanced data analytics
- Work closely with data scientists and data engineers to ensure data quality and algorithmic quality
- Act as a subject-matter expert for the integration of large-scale semantic data products into central R&D systems
Requirements
- Masters degree in computer science, bioinformatics, cheminformatics, or a comparable field with several years of professional experience, or a PhD with 1-2 years of experience in life science applications, ideally in the pharmaceutical industry
- Expert proficiency in data engineering and in integrating heterogeneous data sources
- Expert proficiency of big data technologies and advanced analytics methods for processing large and unstructured datasets
- Practical experience with SQL and NoSQL databases (e.g., Elasticsearch, Neo4J, PostgreSQL)
- Programming skills in Python and/or Java and experience with REST APIs, JSON, and XML
- Experience with information extraction using NLP and large language models
- Experience with cloud platforms (e.g., AWS or Azure) and version control systems
- Knowledge of data architecture, data modeling, data asset management, linked data concepts, and ontologies/taxonomies
- Good understanding of pharmaceutical R&D processes and the ability to quickly learn biological, chemical, or medical concepts
- Team-oriented and interdisciplinary professional with strong communication, networking, and problem-solving skills
Benefits
- Competitive salary between 86,200€ and 104,700€ per year (full-time) plus a variable component
- Flexible work models and part-time arrangements
- Company daycare centers, support for childcare, and time off for family care
- Access to learning and development opportunities, training programs, and coaching/mentoring
- Free health checks and measures to promote health awareness and self-care
- Inclusive work environment that welcomes and supports diversity