I’ve met Jesus during June 2023. Jesus works at Bayer Pharmaceuticals currently as the Head of Business Disruption. Love Stranger Things, AcceleRed, TeamRed, Science4Berlin, STEM4Health, Hackathons, Biotech, Digital Health, Startups, Web3, Networking For Health, Science, Technology, Pharma, Exobiology, Space, Science Fiction, Germany, Cuba, you can connect with Jesus in LinkedIn: https://www.linkedin.com/in/yeysus/ Twitter: https://twitter.com/yeysus Web3: yeysus.eth/.tez/.near POAPs collections in Welook.io: Bayer: https://welook.io/0x74839F2fF3bb6F98E5f120329A76A89f52b95DCC/poap/c/1 Bayer Haemophilia: https://welook.io/0x74839F2fF3bb6F98E5f120329A76A89f52b95DCC/poap/c/24 Bayer R&D DS&AI: https://welook.io/0x74839F2fF3bb6F98E5f120329A76A89f52b95DCC/poap/c/25 Bayer R&D DS&AI Posters Madrid: https://welook.io/0x74839F2fF3bb6F98E5f120329A76A89f52b95DCC/poap/c/26 Bayer Hellas / Greece: https://welook.io/0x74839F2fF3bb6F98E5f120329A76A89f52b95DCC/poap/c/27 Bayer Product Supply: https://welook.io/0x74839F2fF3bb6F98E5f120329A76A89f52b95DCC/poap/c/28 Bayer Berlin: https://welook.io/0x74839F2fF3bb6F98E5f120329A76A89f52b95DCC/poap/c/29 Bayer IT: https://welook.io/0x74839F2fF3bb6F98E5f120329A76A89f52b95DCC/poap/c/30 Bayer R&D: https://welook.io/0x74839F2fF3bb6F98E5f120329A76A89f52b95DCC/poap/c/31 Bayer Communities: https://welook.io/0x74839F2fF3bb6F98E5f120329A76A89f52b95DCC/poap/c/32 Bayer Medical Affairs: https://welook.io/0x74839F2fF3bb6F98E5f120329A76A89f52b95DCC/poap/c/33
Team R&D Master Data Management (MDM) is responsible for the processes and technologies used to ensure the consistency, accuracy, and completeness of critical data that is used across various departments and functions within the R&D organization. MDM plays a crucial role in ensuring the reliability of scientific and clinical data used for research, drug development, regulatory submissions, and decision-making. Key responsibilities include: define and implement data standards & policies, develop and maintain a centralized master data repository, establish data quality controls, ensure data steward- and ownership, manage data integration from different sources and systems, ensure compliance with regulatory requirements and provide training and support for end-users across R&D to ensure proper use and interpretation of data.
