Fellow in AI/ML for Cellular and Protein Computational Biology
Harvard’s interdisciplinary research institute studying intelligence in natural and artificial systems.
Funding history
About Kempner Institute for the Study of Natural and Artificial Intelligence
The Kempner Institute is a Harvard University interdisciplinary initiative that brings together students, scientists, and engineers to study biological and machine intelligence, advance AI research, and develop related technologies. It operates AI computing infrastructure, research programs, education programs, and open-science resources.
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.