Principal ML Scientist II - Biotherapeutics and Genetic Medicine
Cambridge, MA, United States
USD 121K-178K (estimate) Mid-level Full Time
Tasks
- Adapt protein models to CDR H3 behavior
- Advance generative modeling for biologics
- Apply interpretability methods to guide model improvements
- Build benchmarking frameworks and evaluation standards
- Collaborate with deployment engineers on production models and monitoring workflows
- Develop multiobjective optimization strategies
- Lead technical due diligence for partner models
- Predict multispecific biologics geometry and chain complexation
Perks/Benefits
Skills/Tech-stack
Biological Data | Biological data modeling | Data Modeling | Deep learning | Diffusion Models | Distributed Training | Generative Modeling | Graph Neural Networks | Graph deep learning | Language Models | Machine Learning | Model Interpretability | Multiobjective optimization | Neural Networks | Protein Language Models | Python | Transformers
Education
Regions
Countries
States
Cities
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