169 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" "IFM" "IFM" positions at Cedars Sinai Medical Center
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interprets data. May assist in preparation of grant proposals. Participates in publications and presentations as author or co-author. Not responsible for generating grant funds. Primary Job Duties and
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for protocol eligibility, presenting non-medical trial concepts and details, and participating in the informed consent process. Responsible for accurate and timely source documents, data collection
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equipment and related records Transports, processes and logs samples Maintains computer database with relevant clinical information. Performs lab maintenance duties, including glassware cleaning and
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source documents, data collection, documentation, entry, and reporting including timely response to sponsor queries. Responsible for compiling and reporting on each study including information related
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interprets data, may assist in preparation of grant proposals, and participates in publications and presentations as author or co-author. This position is not responsible for generating grant funds. Primary
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concepts and details, and participating in the informed consent process. Responsible for accurate and timely source documents, data collection, documentation, entry, and reporting including timely response
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the area of research. Assists in preparation of data for publication and/or presentation at scholarly meetings. Observes and complies with safety standards and procedures. Orients research laboratory
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period. May develop, adapt, and implement new research techniques and protocols. Analyzes and interprets data. May assist in preparation of grant proposals. Participates in publications and presentations
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for primary data processing across all services, encompassing read alignment, quality control, expression quantification, variant calling, and peak calling. We also provide downstream analysis packages to help
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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