158 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"UCL" positions at City of Hope
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or amended studies) as part of the Coverage Analysis and Budgeting processes. Maintain familiarity with the OnCore Epic integration points. Provide input into the development of internal SOPs regarding data
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genes related to the development of type 2 diabetes and cardiovascular disease in the Hispanic population. He also continues to oversee the Diabetes and Cardiovascular Risk Reduction Program, which he
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perform molecular level diagnoses for precision medicine. About Dr. Jovanovic-Talisman: Tijana Jovanovic-Talisman, PhD is an Associate Professor in the department of Cancer Biology and Molecular Medicine
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external sources, including National Cancer Database and SEER. Provide project management for computational projects. Assist PI/supervisor with write up of results, and notify them of any roadblocks. Conduct
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discovery, and diagnostic refinement in hematologic malignancies. Analyze and interpret experimental data using appropriate computational tools and collaborate with bioinformatics staff when necessary
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technical aspects for multiple projects and studies advancing health equity science, social determinants of health integration and enterprise research. You will also be assisting in preparing presentations
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multidisciplinary research group comprises basic researchers, gastroenterologists, surgeons, oncologists, and bioinformaticians, undertaking several collaborative projects involving large international consortia
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of the Cancer Information Management program or equivalent, including passing the CTR exam within one year of employment. Working knowledge of anatomy and physiology, basic statistics and medical records ops
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comprehensive mouse models enabling real-time labeling, lineage tracing, inducible knockout, and inducible overexpression. Her lab integrates molecular biology, biochemistry, and histological approaches with
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, the Yang lab utilizes biochemistry, molecular biology, CRISPR-based genomic screen, single-cell transcriptomics, and genetically modified mouse models to investigate the role of protein arginine methylation