204 parallel-processing-bioinformatics positions at Columbia University in United States
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Surgery. This position is a full-time faculty appointment as an Assistant Professor in Neurological Surgery at Columbia University Medical Center with admitting privileges at one or more of Columbia’s
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) to support the processing of human biological samples collected from subjects enrolled in clinical studies through the Transplant Center. Reporting to the Sample Processing Core Director, the Technician B will
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, EHR, microbiome, metabolomics, immune profiles). This is a position for someone with computational biology experience and with excellent written and verbal communications, computer programming
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. The successful candidate will have experience in basic molecular biology and immunology techniques. A solid foundation in basic biology and immunology is essential. In addition, facility with basic bioinformatic
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& Gynecology at Columbia University Irving Medical Center seeks a Temporary Data Analyst to support ongoing development of the genotype-phenotype repository. This position will assist with processing structured
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and clinical trials. Responsibilities Work with bioinformatic researchers and physicians to develop and deploy clinical-grade systems focused on multiresolution (whole-slide) imaging. Use DevOps
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or on a computer and to write and maintain experimental protocols Bachelor's degree in biology, chemistry, physics, math, engineering, bioinformatics, computer science or a related field. Experience with
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. Minimum Qualifications High School Graduate or Equivalency required. Preferred Qualifications Major in bioinformatics, biostatistics, biology, data science, public health, or a related field, with
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foundations of economic decision-making, using behavioral experiments and computational modeling. The program is especially interested in research that explores parallels between the cognitive mechanisms
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candidate should have a strong background in Neuroscience. Prior experience with bioinformatics in the biomedical research field, preferably with the processing and downstream analysis of "omics" data