Postdoctoral Scientist – AI & Machine Learning for Predictive Drug Absorption
Tasks
- Apply tree based methods and neural networks
- Communicate results through reports presentations and publications
- Contribute to AI enabled predictive platform development
- Design machine learning models for oral drug absorption prediction
- Develop end-to-end machine learning pipelines
- Develop explainable AI and interpretable models
- Develop surrogate and probabilistic uncertainty aware models
- Perform feature engineering and performance benchmarking
- Quantify robustness generalizability and uncertainty
- Train evaluate and validate predictive models
- Translate model outputs into drug development decision support
- Work with large heterogeneous scientific and clinical datasets
Perks/Benefits
- 401k plan
- Caregiver leave
- Dental coverage
- Health benefits
- Medical leave
- Paid Holidays
- Paid vacation
- Parental leave
- Personal days
- Prescription Coverage
- Relocation assistance
- Vision coverage
Skills/Tech-stack
Data Analysis | Data Ingestion | Explainable AI | Feature Engineering | Machine Learning | Model Interpretability | Neural Networks | Probabilistic Modeling | PyTorch | Python | R | Scikit-learn | Statistical modeling | TensorFlow | Tree-based Models | Uncertainty Quantification
Education
Roles
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