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
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Hey! I am a Research Engineer (Data Scientist) in DS&AI > Data Assets and Insights Solutions (DAIS) > Scientific Digital Solutions. I am responsible for implementing scientific solutions (namely: Aelixir, cellenium, ChemogenomicsDB, Bambus ...) and integrating data to make it easily accessibly and analyzable across the Bayer R&D Org. Feel free to reach out : dan.plischke@bayer.com My Professional Experience: Data Scientist: R&D Scientific Digital Solutions September 2020 - Present Corporate Student: Business Information Systems Oktober 2017 - Oktober 2020 My Academic Background: Master of Science - MS, Information Systems 路 (2020 - now) Humboldt University of Berlin Bachelor of Science - B.Sc., Business Information Systems 路 (2017 - 2020) The Berlin School of Economics and Law
I studied piano performance and toxicology, and am now Master Data Manager at Bayer Pharma in the R&D Master Data Management team of Data Science & AI. I am passionate about team collaboration and rowing. Currently, I'm co-leading the IDMP Ontology, an international cross-industry project with 12 pharma companies for the unique identification of medicinal products to ensure patient safety. Talk to me about common standards and high quality data for better ML and AI outcomes, our next collaboration project, and/or our next jam session at the Bayer Berlin campus.
Nice to meet you!
I am passionate about harnessing data and cutting-edge technologies to optimize the clinical impact of cancer drugs and diagnostics. Drawing from my personal experiences with cancer, I am devoted to developing analytical systems that integrate clinical, imaging, and biomarker data to provide real-time access to high-quality information. Throughout my career, I have worked closely with clinical teams, advocating for data-driven decision-making and uncovering insights into clinical realities. I strongly believe that by leveraging complex datasets, we can gain a deeper understanding of cancer biology, and subsequently improve our decision-making processes. This adaptable approach empowers us to address fundamental questions, such as which targets to pursue, which technologies to invest in, which drugs to prioritize, and ultimately, which therapies are best suited for individual patients.
I am a curious leader of smart and cool people and together we drive the digital transformation of our Pharma Research and Early development functions.