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Collaborate with the applicable NCI Divisions Officer and Centers (DOCS) to incorporate Government-approved projects into the GDC. Inform GDC Project Team plans with relevant information gleaned from Division of Cancer Epidemiology and Genetics' (DCEG) deployment of U Chicago's Generation 3 Data Commons software within the context of Center for Biomedical Informatics and IT's (CBIIT) Cancer Research Data Commons (CRDC) environment.
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Supervise staff, students and post docs in the use of neuroimaging processing, analysis and viewing tools and psychological testing tools. Perform advanced analyses on neuroimaging data (structural MR/fMRI/PET.
$64,700 - $110,500 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Familiarity with Snowflake, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Data Cataloging tools, Data Observability tools and Data Governance tools.
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Required proficiency in Google Suite (Drive, Sheets, Slides, Docs, Forms), Microsoft Office suite (Word, PowerPoint, Excel, and Outlook); Flowchart maker and diagramming (Visio, Io.draw, Lucid Chart), Project management tools (SmartSheet) and Learning Management Systems.
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The post doc will lead building 2 databases i) US Floodplain Mitigation Infrastructure Database (from FEMA GIS data) and ii) the US Flood Extents in Revised Floodplains Database (using satellite data including Planetscope data and public sensors.
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The Research Computing Center (RCC) seeks an experienced Computational Scientist with a focus on Image Analysis and Data Visualization to serve as a domain expert in supporting and advising faculty, post-docs, and graduate students on a wide range of research projects.
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Experience as a power user or data steward for Darwin, PMX, Kneat, SAP, Veeva Q Docs. Six Sigma Green Belt or Lean Training/Experience. The QA Data Steward serves as a power user and quality data steward for IDS systems supported by Quality Assurance including LIMS (Darwin), MES(PMX), SAP, TrackWise, and Veeva Quality Documents.
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All of that data that we process goes through Machine Learning and Deep Learning algorithms and models, all built and trained in-house, to ensure peak relevancy for consumers, and are constantly being improved upon, which results in one of the most advanced and mature Machine Learning practices in the world.
$280,000 - $300,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Product management (prioritizing work and translating requirements between business and tech), data analysis (Excel, Google Sheets, Google Looker, etc.) 1+ years of experience working with Microsoft Excel and/or Google Workspace (Docs, Sheets, Slides, Looker, etc.
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Also stocks a complete assortment of turbos (new and remanufactured), inframe overhaul kits, filtration and aftertreatment parts including DPFs, DOCs, EGRs, sensors and other engine parts. 5 years of experience in a Data Analyst role utilizing Excel, PowerBI, and SQL.
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Recent past experience with Qlik Sense must be able to format data to load to Qlik Sense, create reports, dashboards and defining a repetitive process we can automate to keep the Qlik Sense content updated.
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Before submitting your application, use a word processor, such as Microsoft Word or Google docs, to check for grammar and spelling. An advanced level user can use the VLookup function and problem solving tools, link and consolidate multiple workbooks, use Advanced Filter to find data and copy to another location, create pivot tables and automate repetitive tasks and procedures.
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Grant funded research and development is often initiated by CLHSS members as the Principal Investigators (PIs) and will have you acting as the liaison between the research team (e.g. RAs, post docs, co-investigators from multiple institutions) and CLHSS resources (e.g. data sources, compute access, regulatory requirements, patient partners, etc.
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Performing annual account reviews, periodic reviews Performing GMP data quality assessments and managing deviations Managing document review and approval workflows in a global document management system Working with data archiving and electronic document management systems (in house systems are OpenLab and Veeva Quality Docs) Manage IQOQ and UAT – write and execute test scripts, author test summary reports.
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As the Lead Product Designer for the Developer Growth team, you will be working closely with the RippleX Product, Engineering, Docs, Data Science, and Marketing to help grow the crypto, specifically the XRP Ledger developer ecosystem.
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