Data Scientist for R&D Integration (m/f/d), Wuppertal-Aprath

Bayer is a global enterprise with core competencies in the Life Science fields of health care and agriculture. Its products and services are designed to benefit people and improve their quality of life. At Bayer you have the opportunity to be part of a culture where we value the passion of our employees to innovate and give them the power to change.

Missions

• Enable digital platforms on an operational level as foundation for data integration and curation
• Provision of ontologies and terminologies for PH R&D core areas
• Development and implementation of customized and semi-automated data management processes
• Identification and evaluation of new tools and technologies in the field of ontology usage, generation and management
• Development of new data models based on the semantic web technology stack
• Support the implementation of guidelines for FAIRification of data
• Assure that all data generated by PH R&D are following the FAIR data principles and support FAIRification of legacy data by consulting in technical as well as content-related questions
• Support of cross-functional projects in the area of data integration

Profile

• MD/Ph.D. degree in biomedical life sciences (especially bioinformatics/biochemistry/biology/medicine), ideally in combination with an informatics background
• Basic understanding of Pharma R&D processes, ideally with first practical experience in the pharmaceutical industry
• Good knowledge in the field of application of FAIR data principles
• Experience with large data sets, ontologies, curation, and standardization processes using workflows and pipeline tools as well as programming skills like Python and R
• Knowledge in data modelling (particularly considering metadata with adequate tooling) and storage systems such as RDBs, Triple (RDF) and graph stores, as well as other NoSQL DBs
• Knowledge of collaborative software-engineering-technologies and infrastructures like GIT, Docker, Cloud-based solutions (AWS or Azure)
• Good technical grasp, creativity and innovative mindset as well as very good communication, presentation and organizational skills
• Fluent in spoken and written English