Computational Scientist, Computational Biology and Machine Learning - Hematology & Medical Oncology
Tasks
- Apply statistical methods for longitudinal multi modal data
- Build LLM powered information extraction pipelines
- Build machine learning predictive models
- Build reproducible data integration pipelines
- Create unified data models for multi omics and clinical data
- Develop dashboards and APIs
- Develop interpretable risk stratification models
- Implement retrieval augmented generation systems
- Lead single cell genomics analysis
- Maintain HIPAA compliant databases and ETL pipelines
- Perform clustering and differential expression
- Prepare publication ready analyses and figures
- Present findings at conferences
- Reconstruct clonal architecture
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | Cell analysis | Clustering | Containerization | Dashboards | Data integration | Database Design | Deep learning | Differential expression | ETL | ETL Pipelines | Ensemble Methods | File System | Genomics | HIPAA | HPC | Language Model | Language Processing | Large Language Model | MPI | Machine Learning | Natural Language | Natural Language Processing | OpenMP | Parallel file system | Python | R | Retrieval-Augmented Generation | Risk Stratification | Scientific workflows | Single Cell Analysis | Single-cell | Statistical modeling
Education
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