Principal Computational Scientist, Discovery Chemistry
South San Francisco, United States
USD 144K-269K Senior-level Full Time
Tasks
- Apply AI ML for drug discovery and therapeutic peptide design
- Automate data pipelines for large dataset processing
- Build workflows and pipelines for peptide selection design optimization
- Collaborate with wet lab scientists on data driven workflows
- Design and deploy computational platform for peptide therapeutic discovery
- Develop computational methods for target and peptide modeling
- Implement machine learning models for peptide property prediction
- Integrate data infrastructure for NGS processing storage analysis
- Integrate experimental data from protein crystallography biomolecular NMR cryo EM and biophysics
- Lead AI ML collaboration with drug discovery teams
- Present scientific findings to stakeholders
Perks/Benefits
Skills/Tech-stack
Active Learning | Biomolecular NMR | Cloud Computing | Computational Chemistry | Cryo-EM | Data Analysis | Data pipeline | Docking | Generative Models | High Performance | High-Performance Computing | Homology Modeling | Ligand docking | Machine Learning | Molecular Modeling | Molecular simulation | NLP | Next-Generation Sequencing | Performance Computing | Physics-Based Modeling | Protein Data | Protein crystallography | Protein data analysis | Protein-ligand docking | Python | Quantum Mechanics | Structure-based modeling
Education
Regions
Countries
States
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