Senior Scientist, AI/ML in Computational Biology
Tasks
- Apply machine learning to spatial and omics data
- Author scientific reports and present research results
- Develop predictive machine learning models for biological problems
- Formulate translational questions as machine learning problems
- Integrate multimodal datasets for predictive modeling
- Interpret model outputs to generate biological hypotheses
- Perform exploratory data analysis on large datasets
- Refine machine learning workflows and models
- Test hypotheses with rigorous analysis
Perks/Benefits
Skills/Tech-stack
ATAC-seq | Bioinformatics | Cheminformatics | Computational Biology | Data Analysis | Deep learning | Docker | Git | Machine Learning | NumPy | Omics Data | Omics Data Analysis | Pandas | Patient Stratification | Predictive Modeling | PyTorch | Python | R | RNA-seq | SciPy | Scikit-learn | Single-cell | Single-cell RNA-seq | Spatial transcriptomics | TensorFlow
Education
Roles
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