Senior Machine Learning Scientist, 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
- Collaborate with biologists to interpret experimental results
- Collaborate with data engineers and ML engineers to deploy models
- Create predictive frameworks for ADME tox
- Develop predictive models for drug discovery
- Integrate chemical biological and phenotypic datasets
- Model target engagement and phenotypic screening outcomes
- Partner with medicinal chemists for compound design and lead optimization
- Perform exploratory data analysis on scientific datasets
- Predict compound activity selectivity developability
- Validate model performance using validation strategies
Perks/Benefits
- N/A
Skills/Tech-stack
Cheminformatics | Cloud Computing | Data Analysis | Data Visualization | Deep learning | Ensemble Methods | Exploratory Data Analysis | Graph Neural Networks | MLOps | Model Evaluation | Model Validation | Molecular Modeling | Multi-Omics | Multi-Omics Data Analysis | Multi-omics Data | Neural Networks | NumPy | Omics Data Analysis | OpenEye | Pandas | PyTorch | Python | RDKit | SciPy | Scikit-learn | TensorFlow
Education
Regions
Countries
States
Cities
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