100 innovation-"https:"-"https:"-"https:"-"https:"-"https:" positions at St Jude Children's Research Hospital
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department that is recruiting faculty-level scientists and engineers specializing in the development of novel imaging technologies. Our goal is to drive technical innovation that will accelerate scientific
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subtomogram averaging Integrate the structural data with the lab's interaction mapping, proteomics and computational modeling Design and run follow-up cell biology experiments to test mechanistic hypotheses
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the understanding and treatment of pediatric catastrophic diseases. The ODS is seeking a skilled and collaborative Agentic AI Scientist to lead the design, development, and evaluation of agentic AI systems
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, and computational modeling. They will design and execute experiments, analyze large-scale proteomic data, and interpret results. The individual is expected to lead projects that gravitate
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Research Associate will join an innovative, multidisciplinary team focused on improving the lives of children and adolescents treated for craniopharyngioma, a rare brain tumor that can lead to lifelong
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antibodies, antigens, and other biologics Work closely with mAb discovery platforms to support molecular biology workflows; design and execute construct generation for antibody expression. Perform DNA
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The Center for Bioimage Informatics at St. Jude Children's Research Hospital is seeking two Senior Image Data Scientists to design, develop, validate, document, and operate image-analysis pipelines
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biostatistics faculty collaborating with the Childhood Cancer Survivorship Program (CCSP). You will develop innovative biostatistical methods for childhood cancer survivorship research and collaborate with CCSP
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tools to inform better therapies using human and genetic models. Key Responsibilities Design and conduct experiments investigating the mechanism of chimeric transcriptional factors in regulating gene
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Computational Postdoctoral Researcher - Bacterial Genomics, Transcriptomics, and Single-Cell Genomic
. • Integrate genomic and transcriptomic datasets to investigate bacterial physiology, adaptation, evolution, and host-pathogen interactions. • Collaborate with laboratory members to design analyses, interpret