Senior Machine Learning Scientist I, Drug Discovery Analytics
Redwood City, California, United States
USD 229K-269K Senior-level Full Time
Tasks
- Apply deep learning graph neural networks and ensemble methods
- Build predictive frameworks for ADME Tox target engagement and phenotypic screening outcomes
- Design and implement machine learning models for compound activity selectivity and developability
- Develop predictive models for drug discovery
- Evaluate model performance and validation strategies
- Integrate heterogeneous datasets including chemical structure and screening data and structural biology outputs
- Integrate models into discovery pipelines with data engineers and ML engineers
- Perform exploratory data analysis on chemical biological and phenotypic datasets
- Translate scientific questions into computational modeling strategies
Perks/Benefits
- N/A
Skills/Tech-stack
ADME-Tox | Cheminformatics | Data Analysis | Data Visualization | Deep learning | Ensemble Methods | Exploratory Data Analysis | Graph Neural Networks | Machine Learning | Model Evaluation | Model Validation | Molecular Modeling | Neural Networks | NumPy | OpenEye | Pandas | Phenotypic Screening | Predictive Modeling | PyTorch | Python | RDKit | SciPy | Scikit-learn | Target Engagement | TensorFlow
Education
Regions
Countries
States
Cities
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