Data Scientist
US – Santa Monica Colorado Avenue – CA, United States
USD 92K-138K Senior-level Full Time
Tasks
- Analyze single cell TCR sequencing data
- Apply machine learning and statistical methods
- Build reproducible scalable data architectures in cloud or HPC
- Characterize T cell clonality diversity and clonal dynamics
- Communicate analytical results through reports and presentations
- Design custom analytical tools and models
- Develop analytical pipelines and visualizations
- Identify cell states trajectories biomarkers
- Integrate scRNA seq and scTCR seq features with clinical outcomes
- Integrate single cell RNA seq with bulk RNA seq genomics and clinical metadata
- Lead single cell RNA seq data analysis
- Maintain code repositories documentation and best practices
- Perform quality control and downstream analysis
- Support experimental design
Perks/Benefits
Skills/Tech-stack
Batch correction | Clonal Tracking | Clonotype Definition | Cloud Computing | Clustering | Data Quality | Data quality control | Differential expression | Diversity Metrics | High Performance | High-Performance Computing | Longitudinal Clonal Tracking | Machine Learning | NGS | Performance Computing | Python | Quality Control | R | RNA Sequencing | Single cell TCR sequencing | Single-cell | Single-cell RNA-sequencing | Statistical Analysis | TCR sequencing | Trajectory inference
Education
Roles
Regions
Countries
States
Cities
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