76 programming-"https:"-"https:"-"https:"-"https:"-"IDAEA-CSIC" positions at City of Hope
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-paced research in cutting-edge technology, immunotherapeutic programs, and a commitment to delivering innovative solutions to critical illnesses. For more information on T Cell Therapeutics research
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, and scientific support for research programs across City of Hope, including cancer, diabetes, and broader translational sciences. Working under the leadership of the Shared Resource Director, this
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: Assists in the management and implementation of departmental programs and goals that support the strategic plan for patient care services and the organization. Supports departmental implementation of new
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through cutting-edge research. We’re in search of a Research Support Technician - Animal Breeding to join our Animal Care Program team. The Research Support Technician is responsible for performing tasks
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), Blood Cancer Journal (2022), Cell Stem Cell (2018). The Li research program is supported by multiple NIH (R01s), American Cancer Society, The Alex’s Lemonade Stand Foundation and several other prestigious
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a given research protocol requiring EDC support. Design, develop, validate, and maintain applications used to capture eCRF data within Forte EDC. Provide programming of validation checks and custom
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management. Experience in Software Development. Preferred qualifications: Project Management Certificate (PMC) III or higher. Programming skills in languages such as Python, R, or Perl. 4+ years of experience
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, nurse practitioners (NPs), physician assistants (PAs), pharmacists, and research teams Plan and execute protocol-specific activities including randomization, assessments, treatments, and follow-ups Ensure
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autonomy. You will work with Cherng Center leadership to grow the research program and its educational offerings. You will serve as a project manager, navigating the regulatory review process for each
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such as PyTorch or TensorFlow, and ideally with probabilistic programming tools such as Pyro or Stan. Experience with multimodal data fusion and building efficient, scalable data pipelines for large genomic