121 computational-"https:"-"https:"-"https:"-"https:"-"https:" positions at St Jude Children's Research Hospital
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This one-year program trains innovative leaders in treating and managing pediatric catastrophic disorders (sickle cell disease, hemophilia, thalassemia and bone marrow failure syndromes). Supported
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risk, tumor formation, and impacts on cancer treatment for patients with hereditary predisposition to cancer. This one-year program provides fellows with advanced training in cancer genetics as
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As a clinical fellow in our Cancer Survivorship program, you will improve the quality of life for young adult survivors of childhood cancer while working in one of the largest cancer survivorship
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work both collaboratively and independently on projects within the CEPIO. The candidate will lead cutting-edge computational analyses of omics datasets including transcriptomics, proteomics, scRNA-seq
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, structural biology, cell and molecular biology, infectious diseases, host-microbe interactions, chemical biology and therapeutics, computational biology and more. New institutional programs focusing on data
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. The postdoctoral fellowship program is designed to enhance the skills of psychology trainees preparing for a career in a pediatric academic medical setting. As a fellow, you will benefit from an individualized
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As a fellow in our Neuro-Oncology program, you'll deepen your understanding of the biology and etiology of pediatric brain tumors while gaining clinical experience within one of North America's
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Training: High School Diploma or GED required. Minimum Experience: 2+ years of significant experience providing support around IT systems (e.g. operating systems; setup and configuration of computers
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team members, preferred. Knowledge of Microsoft Office Suite (e.g., Outlook, Word, PowerPoint, Excel) and other computer applications. Proven performance in earlier role. Licensure, Registration and/or
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projects and coordinates other efforts related to analysis and infrastructure as directed. The successful candidate will contribute to discovery-driven computational studies of unprecedented multi-omic