Senior Director, AI and Data Science (Drug Discovery and R&D Enablement)
Tasks
- Apply small data techniques
- Build scalable data pipelines and AI enabled workflows
- Collaborate across R and D CMC Clinical Safety and IT Security
- Define and execute AI and ML roadmap
- Develop and validate applied AI and ML models
- Establish governance for data quality documentation and fit for use
- Establish model lifecycle management best practices
- Implement synthetic control arm strategies
- Improve processes through automation and analytics
- Lead external partner vendor evaluation and delivery
- Lead predictive modeling and evaluation design
- Monitor model performance and retrain models
- Operationalize models in production or decision workflows
- Partner with scientists on data capture strategy
- Translate drug discovery questions into analytical hypotheses
Perks/Benefits
- N/A
Skills/Tech-stack
Artificial Intelligence | Bayesian Methods | Data Governance | Data Pipelines | Feature Engineering | Hierarchical modeling | MLOps | Machine Learning | Model Monitoring | Random Forest | Regularization | Support Vector Machines | Synthetic control | Uncertainty Quantification | Vector machines | XGBoost
Education
Regions
Countries
States
Cities
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