Bayer is looking to solve the world's toughest challenges in health and hunger by leveraging machine learning in chemistry and biology research.
Requirements
Have Python programming experience
Have experience with data science and/or cheminformatics libraries (e.g., Pandas, Scikit-Learn, Matplotlib, RDKit, OEChem, DeepChem)
Have experience with deep learning libraries like PyTorch, TensorFlow, or JAX
Responsibilities
Develop and evaluate state-of-the-art machine learning algorithms applied to chemistry and biology
Work with the Machine Learning Research team to develop and/or evaluate state-of-the-art machine learning algorithms applied to chemistry and biology
Process and analyze chemical and biological datasets
Implement and test machine learning models for (bio)molecular property prediction and optimization
Evaluate different molecular representations in supervised and unsupervised learning tasks
Interact with chemistry, biology, and data science teams to understand how machine learning fits into our R&D operations and how novel solutions can be operationalized
Regularly communicate results and progress to the Machine Learning Research team and other relevant stakeholders
Other
Actively working towards a Masters or PhD degree in Computer Science, Engineering, Chemistry/Biology, or related technical fields
Interest in research at the interface of computer and life sciences
Have good general knowledge of chemistry and/or biology
Have strong oral, written and presentation skills with ability to explain concepts clearly in lab and small team settings
