Company Mission
At eGenesis, we aspire to deliver safe and effective human transplantable cells, tissue and organs utilizing the latest advancements in genome editing.
Position Summary
We are seeking a highly skilled and motivated Scientist II with expertise in single cell and spatial genomics data analysis. The ideal candidate will play a key role in unraveling the cellular and spatial architecture of engineered organs and immune interactions in our translational research programs. This is a unique opportunity to drive high-impact research at the intersection of genomics, immunology, and synthetic biology.
Primary Responsibilities
- Lead the design, analysis, and interpretation of single cell RNA-seq, ATAC-seq, and spatial transcriptomics experiments
- Integrate multi-modal datasets (e.g., scRNA-seq, CITE-seq, spatial transcriptomics) to uncover insights into tissue remodeling and immune responses
- Collaborate with cross-functional teams including wet lab scientists, immunologists, bioinformaticians, and translational scientists
- Develop and implement scalable pipelines and custom analytical tools for high-dimensional single cell datasets
- Interpret data in the context of immunological mechanisms and xenotransplantation
- Present findings to internal stakeholders and contribute to publications and patents
Basic Qualifications
- PhD with 3+ years of experience in Computational Biology, Genomics, Bioinformatics, Immunology, or a related field
- 2+ years of postdoctoral or industry experience analyzing single cell genomics data (scRNA-seq, scATAC-seq, spatial omics)
- Strong proficiency with R and/or Python for statistical computing and data visualization
- Deep understanding of immune cell biology and ability to interpret immune-related transcriptional signatures
- Familiarity with popular single cell analysis tools (e.g., Seurat, Scanpy, Cell Ranger, Loupe, Squidpy, etc.)
- Demonstrated ability to work independently on complex data analysis problems and communicate results clearly to interdisciplinary teams
