Full-Circle MS Workflow Automation at Novartis
In this webinar, Novartis will show how they are digitalizing and fully automating systems across large molecule R&D. By integrating liquid handling systems, mass spectrometers, and the Genedata Biopharma platform, Novartis has implemented a ‘full-circle’ mass spectrometry (MS) workflow automation for standardized analyses. Their automated MS workflow includes analytics requests by laboratory scientists, barcoding, sample preparation, mass spectrometry, data analysis, and reporting. Automating repetitive tasks increases efficiency and allows scientists to focus on more complex projects and advanced sample analytics.
Join Felix Stemmer, Senior Scientist II, and Martin Jockel, Senior Expert in Data Science, from Novartis as they illustrate how they are streamlining processes and accelerating operations.
Key learning objectives
- Discover how Novartis is automating complex MS-based workflows in biopharma R&D
- Learn how Novartis has implemented a ‘full-circle’ MS analytics platform, integrating high quality MS data into an enterprise-level biotherapeutics discovery platform
- Hear how Novartis scientists significantly increased research efficiency by using MS analytics workflows
Who should attend?
- Biopharmaceutical analytical scientists, laboratory leaders, and directors who are looking to develop and automate MS-based analytics in biotherapeutic R&D.
- IT professionals, automation architects, and engineers looking to support organizational-level data platforms for digitalization of complex, multidimensional data streams in biologics discovery workflows.
Certificate of attendance
All webinar participants can request a certificate of attendance, including a learning outcomes summary, for continuing education purposes.
Speakers
Felix Stemmer has a background in bioengineering from the Karlsruhe Institute of Technology where his passion for lab automation began. Now working at Novartis, Stemmer is currently working on a collaborative project with Genedata, integrating liquid handling systems and analytical instruments into Genedata’s respective software. Before joining Novartis, Stemmer worked on a series of automation projects including miniaturizing downstream processing and CHO and HEK upstream processing, highlighting his extensive experience in automation.
Martin Jockel, a bioinformatics graduate from the Technical University of Applied Sciences in Bingen, has worked for Novartis for the past 12 years. His proficiency in crafting custom software solutions has enhanced laboratories’ capabilities in data storage and visualization, leading to optimized workflows and increased efficiency. In recent years, Jockel has further broadened his scope to include lab automation, ensuring these processes are integrated into Novartis’ technical ecosystem. For the past three years, he has been contributing to the Genedata project at Novartis as a developer and as the Scrum Master for the Technical Team.