Machine Learning Scientist | Machine Learning Scientist (alle Geschlechter)
Bayer AG Pharmaceuticals
Job Summary
Join Bayer as a Machine Learning Scientist to accelerate drug discovery by developing and applying advanced ML algorithms for biomolecule design and characterization. You will identify opportunities to leverage AI, communicate progress to diverse stakeholders, and stay abreast of cutting-edge computational modeling advancements. This role requires a PhD in a related field, several years of post-doctoral industry experience, and deep knowledge of ML methods for biomolecules, including sequence-to-function, protein language models, and generative approaches. Proficiency in Python (PyTorch, Pandas, scikit-learn), bioinformatics tools, and collaborative software development practices is essential. If you are driven by scientific rigor and possess strong analytical and communication skills, this is a unique opportunity to make a significant impact.
Required Skills
Education
PhD in Computational Chemistry/Biology, Cheminformatics, Chemistry/Biology/Molecular Engineering, or a related field at the intersection of life sciences and computer science
Experience
- Several years of relevant post-doctoral professional experience, ideally gained in industry
- Experience with ML-based workflows for biomolecular interaction characterization, drugability assessment, candidate screening, and design/optimization of therapeutics and delivery systems
- Experience in processing, integration, and analysis of large datasets in drug discovery, including sequence, omics, biochemical, biophysical, and structural biology data
- Experience with collaborative software development following best practices
Languages
Additional
- Not specified
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