Jump to content

Genedata Webinar Week

June 17–20, 2025

In the first Genedata Webinar Week, global biopharma leaders — Merck, Novartis, Pfizer, and Sanofi — shared how they are transforming biotherapeutics R&D. Scientific and digital innovation experts share how they accelerate biomarker discovery, streamline quality control (QC), digitalize mRNA workflows, and boost chemical liability screening.

X-Omics Platform Accelerates Precision Medicine

Stefan Pinkert, Principal Scientist Bioinformatics

 

Watch Now

 

Enabling MS-based MAM in QC Through a Robust New Peak Detection Workflow

Thomas Pohl, Director Analytical Characterization
Patrick Merkle, Senior Expert Analytical Characterization

Watch Now

Pfizer

Digitalizing mRNA Workflows for Vaccines and Therapeutics

Diana Sapashnik, Senior Scientist, BioMedicine Design​
 
 

Watch Now

Chemical Liability Screening for Biotherapeutic Protein Discovery

Jennifer Kuehn,
Lab Head Assays & Analytics
Xiaohua Liu,
Principal Scientist

Watch Now

Highlights from the 2nd Genedata Webinar Week

In the second edition of Genedata Webinar Week in September 2025, global biopharma experts share how automation of laboratory and data workflows is enabling faster, smarter, and more scalable R&D.

Watch the June 2025 Sessions on Demand

Highlights from the 3rd Genedata Webinar Week

In the third edition of Genedata Webinar Week in November 2025, global biopharma experts share how embedding AI into scientific workflows is enabling faster discovery, deeper insights, and more reliable decision-making.

Watch the November 2025 Sessions on Demand

Discover the Genedata Biopharma Platform

Genedata provides first-in-class enterprise software that automates and digitalizes research, development, and manufacturing for biopharma R&D. The Genedata Biopharma Platform supports end-to-end workflows — from screening and engineering to purification, analysis, and beyond. The platform integrates specialized solutions for cell line development, upstream and downstream bioprocessing, MS- and NGS-based quality control, and translational research. By harmonizing data across instruments, teams, and sites, this unified solution ensures data integrity, enables AI/ML applications, and supports regulatory compliance — accelerating innovation from early discovery through clinical development.