Fellow in AI/ML for Cellular and Protein Computational Biology
Kempner Institute for the Study of Natural and Artificial Intelligence Fellow in AI/ML for Cellular and Protein Computational Biology
Summary
Research fellow at Harvard's Kempner Institute applying modern AI/ML — deep learning in PyTorch or JAX — to computational biology: protein structure and docking, cell-state prediction, and multimodal modeling of protein function and cellular state, working with large-scale biological data under a Kempner Institute investigator.
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
