Senior Scientist, Machine Learning (Biologics Design)
US - CA - Foster City, United States
USD 169K-219K Senior-level Full Time
Tasks
- Build predictive and generative models for sequence and structure design
- Develop machine learning models for biologics design
- Implement data efficient learning strategies
- Integrate experimental and structural datasets
- Perform structure based modeling and analysis of antibodies
- Train and evaluate deep learning models
- Translate computational results into experimental design decisions
Perks/Benefits
- N/A
Skills/Tech-stack
Active Learning | Amber | Antibody engineering | Bayesian optimization | CHARMM | CI testing | Containerization | Continuous integration | Deep learning | Diffusion Models | Experiment tracking | Generative Modeling | Geometric Deep Learning | Inverse Folding | JAX | Language Models | Machine Learning | Model Registry | Molecular Modeling | Multimodal Learning | NumPy | OpenMM | Pandas | Protein Engineering | Protein Language Models | Protein Structure Modeling | Protein structure | ProteinMPNN | PyTorch | Python | Representation Learning | Rosetta | Structure modeling | Workflow Orchestration
Education
Regions
Countries
States
Cities
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