Data Scientist
US – Santa Monica Colorado Avenue – CA, United States
USD 124K-179K (estimate) Senior-level Full Time
Tasks
- Analyze single cell TCR sequencing clonality and diversity
- Apply statistical machine learning AI methods
- Build reproducible scalable data architectures
- Communicate analysis results with reports visualizations presentations
- Design and implement custom analytical tools and models
- Develop analytical models for clinical NGS and single cell data
- Develop code repositories documentation and best practices
- Identify biomarkers and interpret mechanistic insights
- Identify cell states and trajectories
- Incorporate emerging single cell methods and tools
- Integrate TCR repertoire features with transcriptional states
- Integrate single cell RNA seq with bulk RNA seq genomics and clinical metadata
- Lead single cell RNA seq analysis
- Perform quality control and data processing
- Support experimental design
Perks/Benefits
- N/A
Skills/Tech-stack
Batch Effect Correction | Bioinformatics | Cell-type annotation | Clonotype | Cloud Computing | Clustering | Computational Biology | Data Analysis | Data Normalization | Deep learning | Differential expression | Diversity Metrics | High Performance | High-Performance Computing | Longitudinal Clonal Tracking | Machine Learning | NGS | Performance Computing | Python | R | RNA-seq | Single cell TCR sequencing | Single cell data | Single-Cell Data Analysis | Single-cell | Single-cell RNA-seq | Statistical modeling | TCR sequencing | Trajectory inference | Type annotation
Education
Roles
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