230 information-technology-"https:"-"https:"-"https:"-"https:" positions at St Jude Children's Research Hospital
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The IT Asset Technician II is responsible for supporting the full lifecycle management of technology hardware & software assets across the organization. This role performs inventory management
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St. Jude is looking for our next team member is Information Services! We need a dependable, poised, and adaptable IT Technician (Level II or I). This person will be responsible for providing
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others in agentic AI best practices and standards Qualifications Minimum: Bachelor's in Computer Science, Bioinformatics, Biomedical Engineering, or a related field with 6+ years of relevant experience
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The Protein Technologies Center (PTC), within the Department of Structural Biology, is seeking a scientist skilled in saturation-mutagenesis-reinforced functional assays, site-specific integrase
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design and build the software platforms, applications, and data systems that power bioimage informatics at St. Jude. This is a hands-on, full-stack engineering role for a developer who wants their code
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: Bachelor's degree in applied mathematics, physics, chemistry, bioinformatics, computer science, data science, computer engineering or related field required. Master's degree preferred. Minimum Experience
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training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions
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The Collaboration Technology Technician is responsible for providing courteous and timely audio visual and video production services to St. Jude Children's Research Hospital. Job Responsibilities
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The Sr Staff Image Data Scientist is responsible for providing technical design, implementation, and operational health of critical analysis platforms in assigned department. Serves as a technology
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transforming complex clinical/biological data into meaningful representations (including advanced feature engineering) Experience applying pretrained foundation models or self-supervised learning approaches