Judith Günther has owned a tandem since she was 18, which is longer than she has owned a modelling kit. Still, she decided to put the design of molecules into the centre of her professional career and she’s pleased to see that her job in pharma research keeps giving her multiple opportunities for tandem and team work.
Today, Judith is a senior scientist within Bayer’s Computational Molecular Design team, where she works on modern in silico methods for drug discovery and their efficient application in pharma pipeline projects. Her designs impacted Bayer’s clinical pipeline in the areas of women’s health as well as oncology. She had a driving role in the discovery of zabedosertib, currently in phase II clinical trials. Judith is particularly interested in workflows that enable faster DMTA cycles, in the integration of both phenotypical data and chemical biology approaches into drug discovery processes, and in implementing AI algorithms at a project level. For her contributions to digital transformation at Bayer, she was recently awarded “Distinguished Woman in Data Science“. Through her engagement in the CACHE initiative, as well as her membership of the SGC board of directors, she aims to foster open science in industry-academic collaborations.
Judith studied chemistry at the Technical University of Darmstadt and holds a PhD from the Philipps University of Marburg.