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AI Scientist
Nabla Bio
BostonOn-site9mo ago
- Employment
- Full-time
About the role
- Design, implement, and evaluate new training data, model architectures, training schemes, and loss functions for biomolecular generation and prediction
- Drive major improvements in generative and predictive performance based on experimental feedback
- Collaborate with AI engineers to productionize models for use in internal and pharma partner design workflows
- Stay on top of the state of the art in ML, protein modeling, and sequence design—and push it forward
- 5+ years of experience developing deep learning models; prior experience in generative modeling, protein/biomolecular ML, or large-scale sequence modeling is a plus
- Strong engineering fluency in Python and PyTorch
- Experience with distributed training and scaling large models in HPC/cloud environments
- Track record of creativity, rigor, and technical leadership in ML research
- Comfort working closely with experimentalists to connect model behavior to real biological outcomes
- The ability to test and validate ML hypotheses using one of the most powerful experimental platforms in biotech
- A chance to shape foundational modeling capabilities for programmable drug design
- Close collaboration with experts in wet-lab biology, bioinformatics, and software engineering
- A focused, technically ambitious team solving hard problems end-to-end
- Highly competitive salary, equity, and benefits package
Perks & benefits
- Equity Compensation
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