The Bioinformatics for Immunology, Genetic and Genomic Sciences (BIGGS) team needs to perform data integration and analysis of bulk transcriptomics, single-cell omics, and spatial transcriptomics datasets in an immunology-related disease area, with a focus on liver biology and metabolic-associated liver disease, to drive target validation and in-depth understanding of disease biology.
Requirements
- Familiarity with the best practices and cutting-edge tools in single-cell analysis is preferable.
Responsibilities
- Perform data integration and analysis of bulk transcriptomics, single-cell omics, and available spatial transcriptomics datasets in an immunology-related disease area, with a focus on liver biology and metabolic-associated liver disease.
- Employ and develop computational tools and algorithms, integrate and analyze complex multi-omic and single-cell datasets to enable a comprehensive understanding of the disease.
- Systematically QC, annotate, and integrate public omics and single-cell datasets.
- Perform downstream analyses on the integrated datasets; employ cutting-edge tools and analytical approaches to advance the understanding of liver disease biology.
- Contribute easily maintainable, robust, and flexible code for analysis pipelines.
Other
- depending on experience
- The candidate will work in close collaboration with members of BIGGS, Immunology Discovery, and Specialty Development teams.
- Interpret and communicate results to the wider scientific team.
- Initial screen with manager. 1-2 additional panel interviews
- CO/NYC candidates might not be considered
