AI Scientist
Nabla Bio is a Cambridge, Massachusetts AI drug-design company that combines generative molecular modeling with integrated wet-lab testing to develop antibody and other protein therapeutics.
Funding history
About Nabla Bio
Its JAM (Joint Atomic Model) platform uses protein sequence, structure, and Nabla-generated experimental measurements for de novo biologics design, affinity/developability optimization, and multispecific therapeutic design, with a focus on difficult targets such as GPCRs, ion channels, and transporters.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design, implement, and evaluate training data, model architectures, training schemes, and loss functions for biomolecular generation and prediction. You will improve generative and predictive performance using experimental feedback, productionize models with AI engineers, and advance ML, protein modeling, and sequence design.
Requirements
- 5+ years of experience developing deep learning models
- Experience in generative modeling, protein or biomolecular machine learning, or large-scale sequence modeling
- Fluency in Python and PyTorch
- Experience with distributed training and scaling large models in HPC or cloud environments
- Technical leadership in machine learning research
- Ability to work with experimentalists on biological outcomes
Responsibilities
- Design, implement, and evaluate training data, model architectures, training schemes, and loss functions
- Improve generative and predictive performance using experimental feedback
- Collaborate with AI engineers to productionize models for design workflows
- Advance machine learning, protein modeling, and sequence design