CZ Biohub New York aims to harness the natural capabilities of immune cells to detect and fix abnormalities in the body at early stages, and to bioengineer immune cells for new capabilities to detect and treat diseases before they become untreatable. The Laboratory of Immunogenomics specifically focuses on understanding and addressing immune dysfunction in diseases like cancer, autoimmune disorders, and aging by studying the non-coding regulatory genome and developing enhancer-guided precision genomic medicine.
Requirements
- Hands-on experience with CRISPR/Cas genome editing, perturbation screens, and enhancer assays.
- Familiarity with base and prime editing, and CRISPR off-target profiling.
- Expertise in immune cell biology, including isolation, culture, and functional assays for primary immune cells and/or HSPCs.
- Experience with multi-omic data analysis or working closely with computational biology teams.
- Genetic payload delivery with optimized capsid biology or lipid nanoparticles.
- Experience with high-dimensional immune profiling (e.g., CyTOF, spectral flow cytometry).
- Proficiency in R/Python for omics data analysis.
Responsibilities
- Apply high-throughput CRISPR/Cas9 and CRISPRi/a screens, STARR-seq, and massively parallel reporter assays (MPRA) to functionally map immune-cell-specific enhancers, silencers, and boundary elements.
- Develop and optimize protocols for scRNA-seq, scATAC-seq, scCUT&Tag, spatial transcriptomics, and multimodal platforms (e.g., 10x Genomics Multiome, Visium).
- Use scGRO-seq, SLAM-seq, and nascent RNA profiling to dissect transcriptional kinetics in engineered immune cells.
- Employ targeted histone modification and DNA methylation tools (e.g., dCas9-p300, dCas9-TET1) to modulate enhancer activity in immune contexts.
- Isolate, culture, and genetically reprogram primary human and murine immune cells, including T cells, B cells, NK cells, dendritic cells, macrophages, and HSPCs.
- Design logic-gated circuits and inducible systems for spatially and temporally controlled gene expression.
- Analyze large-scale multi-omic datasets with established and custom pipelines (e.g., STAR, Bowtie2, Cell Ranger, Seurat, Scanpy, ArchR).
Other
- A PhD in Molecular Biology, Genetics, Immunology, Bioengineering, or related field.
- Proven ability to troubleshoot complex experimental workflows and work independently.
- Track record in single-cell technology development and application.
- Prior work with 3D organoid systems or microfluidics for immune cell studies.
- Understanding of gene regulatory network modeling and enhancer-promoter interaction mapping (Hi-C, PLAC-seq, HiChIP).
