eGenesis, Inc.

Scientist

• Identify and frame open biological questions across programs, define analytical strategies, and set priorities with minimal day-to-day direction.
• Lead the design, analysis, and interpretation of single cell RNA-seq and spatial transcriptomics experiments.
• Integrate multimodal datasets, including spatial transcriptomics, scRNA-seq, proteomics, metabolomics, pathology, and clinical metadata, to uncover insights into tissue remodeling and immune responses.
• Collaborate with wet lab scientists, immunologists, bioinformaticians, clinicians, and translational scientists.
• Develop scalable pipelines for high-dimensional single cell and spatial datasets and create new analytical approaches where existing tools are insufficient.
• Perform spatially resolved analyses of cell states, tissue architecture, cell-cell interactions, and molecular programs associated with graft injury, inflammation, remodeling, and repair.
• Translate biological and translational questions into computational analyses and testable hypotheses grounded in immunological mechanisms and xenotransplant biology.
• Present findings to internal stakeholders and contribute to publications and patents.
• Analyze the cellular and spatial architecture of engineered organs and immune interactions in translational research programs.

Scientist II, Computational Biology – Single Cell, Spatial