I collaborate with different functions to acquire, process and transform data using technologies for better insights and decision-making for Pharma R&D.​

Work in CTTS (Clinical Trial Technology Strategy). Was part of Clinical Operations where I worked in Data Driven Feasibility and recently co-led the initiatives for DCT. Work with Academic Institutions and external innovative companies from start up, large blue chip companies to top 5 tech companies.

Team Data Science Solution & Services Head of Statistics, Analysis & Insights Solutions Living in Cologne, Working in Wuppertal Germany Responsible for Systems like SWAN, TOSCA, BMDA and ALYCE

I met Jesus during the Bayer Data Science & Artificial Intelligence, DS&AI, F2F event in Madrid in May 2023. Jesus works at Bayer AG currently as the Head of Business Disruption. If you are into Stranger Things, Breakthrough Innovations, AcceleRed, TeamRed, Science4Berlin, STEM4Health, Hackathons, Biotech, Digital Health, Startups, Entrepreneurship, Intrapreneurship, Web3, Web5, 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 Meetup: https://www.meetup.com/members/45080772/ Web3: yeysus.eth/.tez/.near Some of his POAPs collections in Welook.io: Bayer: https://welook.io/0x74839F2fF3bb6F98E5f120329A76A89f52b95DCC/poap/c/1 Corporates: https://welook.io/0x74839F2fF3bb6F98E5f120329A76A89f52b95DCC/poap/c/2 Animated: https://welook.io/0x74839F2fF3bb6F98E5f120329A76A89f52b95DCC/poap/c/5 Ladies: https://welook.io/0x74839F2fF3bb6F98E5f120329A76A89f52b95DCC/poap/c/8 Beautiful: https://welook.io/0x74839F2fF3bb6F98E5f120329A76A89f52b95DCC/poap/c/9 Great connecting with you!

The Data Assets and Insights Solutions subfunction, DAIS, consists of a team of dedicated computer and data scientists which combine deep R&D process and domain expertise (biology, chemistry, pharmacy, etc) with advanced computational expertise (software engineering, natural language processing, scalable architectures, bio- & chem-informatics, data integration & visualization, etc). We integrate, enrich and harmonize large scientific datasets to build foundational data assets which are used by the R&D organization and our team to build insights solutions. They address key R&D challenges to improve speed, quality and probability of success of our R&D pipeline. Selected business critical tasks within R&D we are focusing on: - Target identification including holistic assessment - Disease understanding including precision medicine - Pipeline evaluation (therapeutic potential and risks) - Modality selection including identification of tool compounds - Identification of collaboration and in-licensing opportunities For more information contact: Wolfgang Thielemann. Artwork: Licensed pictures.

Collaborations with external partners may lead to joint legal rights for compounds and data, which may restrict reusage in other projects. With the increasing number of collaborations at Bayer and with advancing time, memories of the project details fade, and reconstruction of the status will be nearly impossible. Therefore, we aim for a system to document the role of compounds, which will facilitate decisions on further usage in other collaborations. For more information contact: Miriam Wollenhaupt. Images taken from Microsoft Office free for use pictograms.

The Proprietary Information Management team, PIM, takes care of processes and systems related to either Compliance or Data Governance. Please talk to us if you need help with some cross-functional or collaboration-related topic or if you are interested to learn more about compound-related processes, compliance checks, lab notebook systems and similar things. For more information contact: Friederike Stoll.

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.