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Use Excel, SQL, and data visualization tools such as Power BI to analyze and aggregate data generated by Self-Help's programmatic activities. Work with DPI colleagues in fundraising, investor relations, compliance, policy, impact assessment, and community engagement to ensure that data systems, analyses, and reports are adequately serving their needs and work with Self-Help's Data Intelligence Group (DIG) to optimize them.
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The QA analyst will be a member of a Data Engineering Scrum team that is delivering solutions focused on using state of the art data and analytics tools including traditional and near real-time data warehousing, big-data, relational and document-based databases using both extract, load, transform (ELT) toolsets as well as REST APIs and FHIR. The ideal candidate will be comfortable with data science platforms with proven experience leveraging DevOps and Test Automation tools.
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Compile, analyze, and research watershed dynamics, remotely sensed data, hydrodynamic and water quality data using geospatial information systems (GIS) and statistical techniques.
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This individual will be primarily responsible for the quality of the FHIR-based content stored within client's Enterprise Analytics Platform, in addition to providing quality assurance oversight of the data pipelines and REST APIs developed by the Data Engineering team.
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Execution of in-process analytical methods including flow cytometry, cell blood count, cell count and viability, HPLC, and plate-based ELISAs∯*∯ Real time documentation within data sheets and LIMS following appropriate test methods, SOPs and ALCOA+ principles.
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Data Consulting engages in data quality improvement efforts that span single and multiple product lines (i.e. Health and Welfare, Defined Benefit, Defined Contribution, Stock Plan Services and HR/Payroll) within the implementation and ongoing servicing client lifecycle.
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In this role you will serve as product owner for multiple scrum workstreams including responsibility for developing technical and product definitions, and partnering closely with Engineers and Program teams across the Onyx organization, AI/ML, and a diversity of R&D teams utilizing data to accelerate drug discovery (genomics sciences, computational biology, imaging, computational chemistry, to name a few.
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Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user-facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data/computing/analysis platforms, and multi-omics applications.
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1, 2, 3, 4, 5 represents priority rankings, where 1 is highest priority and 5 is lowest priority of those ranked Minimum Education Bachelor Additional Qualifications: Field of Study Biology Computer Science Statistics and Decision Science Software R Python Linux Shiny HTML Skills Scientific Data analysis Data visualization Data processing Data integration Machine learning Apply now.
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Be familiar with FDA regulatory requirements on data integrity and data governance on computerized systems. Responsible for the daily operation, troubleshooting, and maintenance of GMP-related information systems to ensure their normal operation and data integrity.
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By applying, you consent to your information being transmitted by Disability Solutions to the Employer, as data controller, through the Employer’s data processor SonicJobs. · Exemplify the Mars Five Principles — Quality, Responsibility, Mutuality, Efficiency, and Freedom.
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Collaborating with and support scientists to design experiments, analyze and interpret high throughput biological data and writing sections of manuscripts, prepare publication quality figures, and deposit data in external repositories that meet publication requirements This is a full-time, on-site opportunity in Durham, NC. Provide training in and technical support (including product updates and version control) for programs, algorithms, archives, and pipelines generated during this work.
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We sell the latest AI technologies from Nvidia, Supermicro, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, solar, and battery technologies.
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The role requires in depth knowledge and expertise in complex on-premises, hybrid and cloud networking and security infrastructure, specifically Dell, Vmware, NetApp, Containers, Cisco networking technologies such as data centre (ACI), Wireless LAN Controllers, Cisco I.S.E & DNA Policy Centre, Cisco SD-Access security solution components as well as Palo Alto technologies such as NGFW, Panorama and Global Protect, and so on.
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This includes performing analytical methods, data review and trending, and implementation of GMP operational support systems ensuring a compliant Quality Control lab. Support operational systems (equipment/instrument maintenance/calibration, equipment alarm monitoring, sample handling/tracking, data integrity/control, cGMP documentation, LIMS, laboratory audit, and method training.
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data job Title: data quality analyst Company: Arjo in Durham, NC
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