Fellow in AI/ML for Cellular and Protein Computational Biology
Harvard University’s interdisciplinary institute for research on intelligence in natural and artificial systems.
Funding history
About Kempner Institute for the Study of Natural and Artificial Intelligence
The Kempner Institute brings together Harvard researchers, engineers, and students to study biological and machine intelligence, advance AI technologies, train researchers, and operate dedicated AI computing infrastructure.
Skills
About the Role
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.
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
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
Hiring Process
Short video presentation reviewing past work, followed by a Zoom interview for a subset of candidates.