552 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "Univ" positions at Nature Careers in United States
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Integration of lifestyle, metabolic, and genomic data to refine early detection and prevention strategies Disparities research and risk modeling to optimize equitable deployment of new cancer screening
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. The information contained herein is not intended to be an all-inclusive list of the duties and responsibilities of the job, nor is it intended to be an all-inclusive list of the skills and abilities required to do
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make decisions. Can present/facilitate independently in senior-level meetings. Presents information as a structured story and anticipates questions well. Addresses difficult questions and challenges
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. To apply Interested candidates should submit a curriculum vitae and names and contact information for three references directly via the online application. For more information, contact: Chris Morton
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engineering, analytical chemistry, and computational methods for analyzing sequence information and molecular structures is required to perform research tasks A background in food science or food technology is
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collaboratively to: Design panels of relevant immunological markers for immune phenotyping, biological perturbations, and health or disease states. Generate gold standard data to validate novel sequencing-based
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heating, etc. and be able to assist in troubleshooting and maintenance. Recognize and respond to critical system alarms such as freezers, refrigerators, incubators, cold and environmental rooms, data center
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data integration and coordinates other efforts related to infrastructure with minimal supervision. The Northcott Lab within the Center of Excellence in Neuro-Oncology Sciences (CENOS) is seeking a highly
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, raises concerns, and shares information with team. Able to draw insights from different sets of data and quickly understand why issues are happening. Solves problems quickly by identifying the root causes
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brain tumors through application of innovative technologies and/or data science. Key areas of interest include development of human stem cell and organoid models to study mechanisms of tumorigenesis