Fellow in AI/ML for Cellular and Protein Computational Biology

You will conduct research under the direction of a Kempner Institute investigator. You will apply modern AI and machine-learning methods to protein structure, docking, cell-state prediction, and multimodal biological modeling. You will contribute to computational-biology research using large-scale biological data.

Responsibilities

• Conduct research under the direction of a Kempner Institute investigator
• Apply AI/ML methods to protein and cellular biology
• Develop models for protein structure, docking, and cell-state prediction
• Contribute to multimodal modeling of protein function and cellular state

Requirements

• Bachelor’s or master’s degree in a related quantitative field
• Modern AI/ML
• Deep learning
• PyTorch or JAX
• Research publications or substantial open-source research contributions
• Machine learning model implementation, training, evaluation, or fine-tuning
• Python
• Research code maintenance
• AI-assisted and agentic coding tools
• Technical communication