Computational Biology Data Scientist
Tasks
- Adjust for confounders
- Apply causal inference models
- Build deep learning models
- Build machine learning models
- Communicate analytical results
- Design predictive biomarker models
- Develop Agentic AI systems
- Develop foundation model based workflows
- Develop generative models
- Develop prognostic biomarker models
- Ensure reproducible scalable production ready analytics
- Handle missing data imputation
- Improve model interpretability
- Integrate multi-omic data
- Perform survival analysis
- Translate biological and clinical questions into analytical strategies
Perks/Benefits
- N/A
Skills/Tech-stack
Causal Inference | Confounder Adjustment | Data Imputation | Deep learning | GitHub | Graph Neural Networks | Longitudinal Modeling | Machine Learning | Matrix Factorization | Mixed-effects | Mixed-effects models | Model Interpretability | Multi-Omics | Multi-Omics Integration | Neural Networks | Omics integration | PyTorch | Python | R | Scikit-learn | Survival analysis | TensorFlow
Education
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