Machine Learning Researcher, Genomic AI

About the role

Bayer seeks a machine learning researcher to build genomic and multi-omic models. The posting specifically lists graph neural networks on biological networks, multi-modal contrastive learning, self-supervised methods, and explainability among preferred approaches; biological sequence and omics experience are key domain requirements.

Requirements

• PhD in a quantitative discipline such as computer science with biological or sequential data application
• Research experience training deep learning models on biological sequences or omics data
• PyTorch, JAX, or TensorFlow proficiency
• Molecular biology knowledge

What you'll do

• Design and train models on whole-genome sequences, gene expression, epigenomic, and multi-omic data
• Develop genomic language models and deep representation-learning architectures
• Integrate biological data types into predictive frameworks
• Deploy models in genomic selection and decision-support workflows

Where this was posted

• LinkedIn

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