80 computer-programmer-"https:"-"https:"-"https:"-"https:"-"U.S" positions at City of Hope
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clinical trial growth and excellence. Build strong relationships with internal and external stakeholders, including disease program leaders, PIs, foundation leadership, and sponsors. Guide systemwide
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-scientists and basic science researchers. Applicants should submit a current CV to: Joycelynne M. Palmer, PhD Professor and Director of Biostatistics Department of Computational and Quantitative Medicine
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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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to support straightforward data analysis and application tasks. Run established computational pipelines accurately and consistently. Perform molecular biology procedures, including PCR, gel electrophoresis
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medicine, vascular biology, bioengineering, and data science, Dr. Chen leads an active research program focused on epigenetics, RNA and chromatin biology and endothelial stress response. Her team integrates
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: · Bachelors Degree in Computational Biology, Applied Mathematics, Statistics, biological sciences, or related field with one year of relevant experience. Experience may substitute for minimum education
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Join the forefront of groundbreaking research at the City of Hope , where we're changing lives and making a real difference in the fight against cancer, diabetes, and other life-threatening illnesses. Our dedicated and compassionate faculty and staff are driven by a common mission: Contribute to...
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superb communication and problem-solving skills. Has demonstrable computer skills in Microsoft Word, Excel, Microsoft Access, etc. Has undertaken tasks that utilize these computing skills, as
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straightforward data analysis and application tasks. Run established computational pipelines accurately and consistently. Perform molecular biology procedures, including PCR, gel electrophoresis, DNA quantification
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multidisciplinary research integrates molecular biology, pharmacology, genomics, computational biology, and translational oncology to identify actionable signaling networks and develop predictive biomarkers