Principal Scientist, Computational Sciences - Protein Structure Prediction and Design
San Diego Campus Point - CA, United States
USD 156K-190K Senior-level Full Time
Tasks
- Build and apply machine learning protein design models
- Communicate results using visualization and actionable recommendations
- Develop and scale antibody design workflows
- Develop end to end computational pipelines
- Ensure reproducibility benchmarking and maintainable code
- Lead cross functional collaboration with technical and non technical teams
- Model protein structure and predict binder affinity and specificity
- Predict protein developability properties
Perks/Benefits
Skills/Tech-stack
Active Learning | Agentic AI | Bayesian optimization | Benchmarking | Diffusion Models | Experimental Design | Flow-based generative models | Free energy | Free energy perturbation | Generative Design | Generative Models | Machine Learning | Model Evaluation | Molecular Dynamics | Molecular Modeling | Protein Generative Design | Protein Structure Prediction | Protein structure | Python | Structure prediction | Transformers | Visualization
Education
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