171 embedded-system-"https:"-"https:"-"https:"-"https:"-"St" positions at Cedars Sinai Medical Center
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assist with animal husbandry. Maintains lab equipment and related records. Transports, processes and logs samples. Maintains computer database with relevant clinical information. Performs lab maintenance
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Applied Genomics, Computation & Translational Core is looking for a Biomedical Technician to join the team! The Cedars-Sinai Applied Genomics, Computation & Translational (AGCT) Core is an automated, high
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procedures, Cedars-Sinai continues to stand at the forefront of technology, innovation and discovery improving patient outcomes. Join our team and use your experience with an organization known nationally
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for data collection/abstraction. Enters and processes clinical research data into Electronic Data Systems (EDCs) that are provided by the sponsors. Completes Case Report Forms (CRFs). Assists with
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husbandry. Maintains lab equipment and related records. Transports, processes and logs samples. Maintains computer database with relevant clinical information. Performs lab maintenance duties, including
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-author. Make independent presentations. Provide system administration and maintenance for the local workstation network. Lead and train Research Lab Assistants, Research Fellows, lower-level Research
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for competitive research funding from the National Institutes of Health. As an international leader in biomedical research, we translate discoveries into successful treatments with global impact. Cedars-Sinai is a
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for competitive research funding from the National Institutes of Health. As an international leader in biomedical research, we translate discoveries into successful treatments with global impact. Cedars-Sinai is a
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assist in the preparation of grant proposals, but is not responsible for generating grant funds. May participate in publications and presentations as author or co-author. Designs and performs experiments
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, multidisciplinary programs. The Research Associate will contribute to studies spanning etiology, early detection, and data-driven personalized medicine approaches for these cancers. A main goal is to study how