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Institute at City of Hope. You will work on projects investigating the new pathways and targets in diabetes/obesity and cancer. The lab uses genetically engineered mouse models and molecular pharmacology
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-omics data to identify therapeutic targets and biomarkers. Study cardiomyopathy across models of diabetes, cancer, and pressure overload. Collaborate in an interdisciplinary team and contribute to high
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. CAR NK or CAR T cell engineering and application. Use of conditional knockout mice, tumor models, or MCMV infection systems. CRISPR screening and CRISPR-based gene editing. Epigenetic regulation of gene
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, FOLFOX-3B—all of which completed with numerous biomarker-driven projects pending). Participate in paper writing of multiple research projects. Data sets will be electronic. No biological samples will be
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, glioblastomas, colon cancer, and lung cancer. Advancing precision oncology through machine-learning models: We integrate multimodal patient data, including multiomic data and health record information, to develop
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: Implement and validate IntelliCage protocols to assess cognition, memory, and social behavior post-injury and post-treatment. Evaluate therapeutic efficacy of NSC- and EV-based interventions in rodent models
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. The project involves both in vitro and in vivo studies to uncover the molecular and cellular mechanisms driving cancer-associated immunosuppression using mouse and human solid tumor models. Additionally
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should include: A Ph.D. degree in life or biomedical sciences, or related discipline is required. Experience in pre-clinical, animal models. Experience in microbiome-focused techniques including but not
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the project for RNA metabolism dysregulation and oncogenesis in blood malignancies. Candidates with strong background in RNA metabolism, cancer biology, and murine model are encouraged to apply
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, comprehensive mouse models for: 1) real-time labeling and lineage tracing 2) inducible and cell type-specific knockout & over-expression 3) inducible deletion of a specific population. We constantly integrate