Principal Machine Learning Scientist
Tasks
- Analyze biomolecular structure and dynamics using data
- Assess target druggability
- Characterize protein protein interactions
- Characterize protein-ligand interactions
- Communicate progress to stakeholders
- Design biomolecules using generative methods
- Design drug delivery systems
- Develop deep learning frameworks for biomolecular modeling
- Develop machine learning algorithms for drug discovery
- Develop predictive models from high dimensional data
- Evaluate machine learning workflows for early stage drug discovery
- Identify druggable pockets and epitopes
- Implement validate and improve machine learning tools
- Publish and present research
Perks/Benefits
Skills/Tech-stack
Data Analysis | Deep learning | Dimensional data | Generative Models | High Dimensional Data | Language Processing | Large Datasets | Machine Learning | Molecular Dynamics | Natural Language | Natural Language Processing | Neural Networks | Protein modeling | Python | Random Forests | Rosetta
Education
Regions
Countries
States
Cities
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