Functional Genomics Postdoctoral Researcher Jobs

Join the forefront of groundbreaking research at City of Hope where we are changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to innovative approaches in predicting, preventing, and curing diseases, shaping the future of medicine through cutting-edge research.

The Beckman Research Institute of City of Hope invites applications for an outstanding and highly motivated Postdoctoral Fellow to join Dr. Zhaohui Gu’s laboratory. The Gu laboratory studies the molecular basis of high-risk B-cell acute lymphoblastic leukemia and other hematologic malignancies through integrated genomic and experimental approaches. Research in the laboratory focuses on defining disease subtypes, identifying key molecular drivers, and elucidating mechanisms of leukemogenesis, clonal evolution, immune regulation, and treatment response using functional genomics, molecular biology, cell biology, immunology, and in vivo model systems.

For more information about Dr. Zhaohui Gu’s lab, please visit: https://gu-lab.net and https://www.cityofhope.org/Zhaohui-Gu

As a successful candidate, you will:

• Conduct independent and collaborative research in leukemia genomics, cancer biology, immunology, and hematologic malignancy research, with emphasis on high-risk B-cell acute lymphoblastic leukemia and related diseases.

• Design and execute wet-lab experiments to investigate the biological functions of driver genetic alterations, dysregulated signaling pathways, and immune-related mechanisms in leukemia and other hematologic malignancies.

• Perform molecular and cellular assays, which may include cell culture, flow cytometry, lentiviral transduction, CRISPR-based perturbation, qRT-PCR, western blotting, cloning, and other standard techniques in molecular and cellular biology.

• Use sequencing-based and functional genomics approaches to characterize leukemic cells, immune cell populations, and normal hematopoietic populations.

• Contribute to studies involving mouse models, xenograft models, or other relevant in vivo systems to investigate leukemogenesis, disease progression, leukemia-microenvironment interactions, immune regulation, and therapeutic response.

• Collaborate with computational researchers to interpret genomic, transcriptomic, epigenomic, and immunologic datasets and to integrate experimental and sequencing-based findings.

Your qualifications should include:

• Ph.D. in Biology, Cancer Biology, Molecular Biology, Cell Biology, Immunology, Genomics, Hematology, or a closely related biomedical discipline.

• Advanced research training in one or more of the following areas: leukemia biology, cancer genomics, immunology, hematologic malignancies, molecular oncology, functional genomics, stem cell biology, or experimental therapeutics.

• Demonstrated record of peer-reviewed research publications, including first-author or major-contributor publications in respected journals in cancer research, hematology, immunology, molecular biology, genomics, or related fields.

• Strong hands-on experience with molecular and cellular biology techniques relevant to mechanistic cancer research.

• Experience with one or more of the following is preferred: flow cytometry, CRISPR-based gene perturbation, viral vector systems, mouse models, xenograft models, next-generation sequencing-based assays, immunologic assays, or functional genomics approaches.

• Strong understanding of cancer biology, immunology, genetics, and molecular mechanisms of disease.

• Ability to interpret and work with genomics, transcriptomics, immunologic profiling, or other high-throughput molecular datasets in collaboration with computational team members.

City of Hope employees pay is based on the following criteria: work experience, qualifications, and work location.

City of Hope is an equal opportunity employer.

To learn more about our Comprehensive Benefits, please CLICK HERE.

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