Senior Scientist, Multi-Omics Analytics
Tasks
- Analyze single cell ATAC seq
- Analyze single cell RNA seq
- Apply machine learning methods
- Apply statistical methods to derive biological insights
- Collaborate with research teams to embed analytics into workflows
- Conduct differential analysis
- Design analytical tools for integrated cross model analysis
- Develop bioinformatics pipelines
- Develop data visualization and sharing tools
- Ensure data quality, integrity, and regulatory compliance
- Execute data normalization
- Integrate cross study datasets
- Manage secure scalable data storage
- Perform pathway inference
- Perform screening data analysis
- Process next-generation sequencing data
- Provide technical guidance and training on bioinformatics
- Run data quality control
Perks/Benefits
Skills/Tech-stack
ATAC-seq | Bioinformatics | Cloud Computing | Cross Study Integration | Data Normalization | Data Quality | Data Storage | Data quality control | Data storage architectures | Database Management | Differential Analysis | Imaging Analysis | Machine Learning | Next-Generation Sequencing | Pathway inference | Python | Quality Control | R | RNA-seq | Regulatory Compliance | Single-cell | Single-cell ATAC-seq | Single-cell RNA-seq | Spatial omics | Statistical Analysis | Storage architectures | Study integration
Education
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