Computational Chemist (Machine Learning) I / II
Tasks
- Apply chemoinformatics feature engineering
- Collaborate on machine learning platform direction
- Communicate insights with visualizations
- Design, build, and deploy machine learning models
- Develop and maintain data pipelines
- Engineer molecular representations
- Generate actionable predictions
- Ingest curate and prepare experimental screening data
- Predict chemical properties
- Prioritize compounds for validation
- Train evaluate retrain and monitor models
- Translate experimental questions into machine learning approaches
Perks/Benefits
Skills/Tech-stack
Chemoinformatics | Data Pipelines | Data Visualization | Deep learning | Feature Engineering | Machine Learning | Model Evaluation | Model Monitoring | Model Training | Molecular Dynamics | Molecular descriptors | Molecular fingerprints | Molecular representations | NumPy | Pandas | Python | RDKit | SQL | SciPy
Education
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