Fellow in AI/ML for Cellular and Protein Computational Biology at Kempner Institute for the Study of Natural and Artificial Intelligence – Harvard University | Jobyssey
Fellow in AI/ML for Cellular and Protein Computational Biology
Kempner Institute for the Study of Natural and Artificial Intelligence · Harvard University ·
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