With the aim of protecting more and more Greek patients, a new product in Cardiovascular Medicine is launched. KERENDIA is now available for patients with CKD & Type 2 Diabetes. Welcome to Bayer Hellas internal Kerendia launch event, focusing on educating & preparing the Sales Team for a successful product promotion in the Greek market. In this event, you familiarized yourselves with the promotional materials & the role plays. This is the first POAP related to a pharmaceutical product. If you received this POAP, you are a True Pioneer in the Web3 space. Bayer is proudly promoting innovative practices. https://www.bayer.com/en/poap-tc

Thanks for for taking the time to complete this survey, It was a pleasure seeing you in Madrid!

I am a pharmacist from Rio de Janeiro-Brazil and I work as a computational chemist at Bayer since 2021 in the Computational Molecular Design department in Wuppertal. I work side by side with chemists on different projects using our digital tools to design small molecules that maybe one day will help patients! I am passionate about my work and I have the opportunity to also be part of the Steering Group for Transformation and Leadership in the Drug Discovery Science to help transforming the way we work and communicate.

Professional with extensive experience in analyzing, designing, and implementing novel solutions through the use of Machine Learning for its applications in Research and Development for the Healthcare and Pharmaceutical Industry. I employ my interpersonal communication, business, and technology integration talents to set product strategy and create product roadmaps in an agile environment. • Talent Management • Team-Player • Effective Communicator • Detail Oriented • Analytical Mindset • Computer Vision • Machine Learning • Natural Language Processing • Data Analysis • Statistical Modeling

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.