Description
At Bayer, we're looking for a Machine Learning Scientist to join our team. As a Machine Learning Scientist, you will lead the development, evaluation, and application of machine learning algorithms and workflows for the characterization and design of biomolecules to accelerate drug discovery.
Your tasks and responsibilities will include:
- Identifying opportunities for accelerating ongoing drug discovery projects with internal and external AI capabilities
- Communicating, educating, and engaging with a broad set of stakeholders on the state of technology and the progress of key internal initiatives
- Keeping up to date with the latest advances in computational modeling of biomolecular structure, physics, interactions, and function
We're looking for someone with a PhD degree in computational chemistry/biology, chem/bioinformatics, chemical/biological/molecular engineering, or a related field at the intersection of life sciences and computer sciences. You should have multiple years of relevant post-PhD experience, including professional experience in industry.
As a Machine Learning Scientist, you will have expertise with state-of-the-art machine learning methods to model biomolecules, for example sequence-to-function models, protein language models, co-folding, inverse folding or steerable generative methods. You should also have experience with ML-based workflows towards characterization of biomolecular interactions, assessment of druggability, candidate screening, or design and optimization of therapeutics and delivery systems.
If you're interested in this opportunity, please submit your application. We look forward to hearing from you.