Job Summary
A company is looking for a Data Analyst to perform data integration and analysis in immunology-related disease areas.
Key Responsibilities
- Perform data integration and analysis of bulk transcriptomics, single-cell omics, and spatial transcriptomics datasets
- Collaborate with teams to curate, integrate, and analyze omics data for insights into liver biology and metabolic-associated liver disease
- Develop computational tools and algorithms, and communicate results to the scientific team
Required Qualifications
- Experience in genomic and multi-omic data analysis, including single-cell RNASeq and bulk RNASeq
- Fluency in Python and/or R, with experience in Linux environments and workflow management
- Educational background: Master's degree with 3-5 years or PhD with 0-3 years of experience
- Familiarity with statistical approaches in omics and best practices in single-cell analysis
- Experience in immunology or fibrotic diseases is a plus
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