Description
Bayer is hiring a Data Scientist / Postdoc to join its interdisciplinary R&D team in Monheim, Germany, focusing on machine learning-driven enzyme discovery and profile-driven protein design. The role develops active learning loops, probabilistic optimization models, sequence-to-function predictions, and knowledge-graph methods; collaborates with scientific data and wet-lab teams; and translates algorithmic discoveries into R&D strategies. It is a two-year limited position within Bayer’s Life Science Collaboration framework and requires a PhD in a relevant quantitative discipline plus expertise in machine learning, protein chemistry, and closed-loop scientific discovery.
