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biology, and large-scale data analysis and computational biology. For more information about Dr. Chen’s lab, please visit here. As a successful candidate, you will: Engage in a variety of advanced
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for Cancer and Aging is led by Dr. William Dale and is housed within the Supportive Care Research and Training Division. Our research program focuses on studies related to cancer and aging, exploring
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Join the forefront of groundbreaking research at the Beckman Research Institute of City of Hope , where we're 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...
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for the organization and for clinical research. Support departmental implementation of new technology (OnCore and EPIC) and services. Retrieve and deliver pertinent reports to leadership as requested.Effectively
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: At a minimum, the U.S. equivalent Master’s degree in Bioinformatics, Computer Science, Genetics or a related discipline. A Ph.D. or other doctoral level degree is strongly preferred. Strong communication
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a broad philanthropy program that powers its work. City of Hope’s growing national system includes its Los Angeles campus, a network of clinical care locations across Southern California, a new cancer
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top journals such as Journal of Hematology & Oncology (2024), Cancer Research (2024), Cell (2023), Cell Stem Cell (2023 ×2), and Nature Cell Biology (2022). The Su research program is currently
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of the Principal Investigator, you will perform a variety of in vitro and in vivo experiments. This lab position requires training in molecular and cellular biology with an emphasis on metabolic diseases such as
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, shaping the future of medicine through cutting-edge research. Dr. Xiuli Wang’s lab, part of the Therapeutics Research Laboratories program, is seeking a Research Associate II to support cutting-edge CAR T
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. The research program embraces team science drawing from i.e., implementation science, data science, geospatial, epidemiological, and machine learning approaches to better understand broad contexts including