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This individual will be primarily responsible for the quality of the data ingested into the data lake (Duke Data Hub) and the data deidentification processes in the Federated Clinical Analytics Platform (FCAP), including providing quality assurance oversight of the data pipelines and REST APIs developed by the Data Partnerships Data Engineering team and Duke's FCAP partner.
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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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QA, quality assurance, cell therapy, gene therapy, CAR-T, cell and gene therapy, cell culture, mammalian cell culture, investigation, deviation, CAPA, non conforming, batch record, batch record review, technical writer, quality control, medical, dental, vision, 401k.
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Solid experience in driving Automation, Data Quality Security and Governance practices. - Proven experience as a Data Architect, with a focus on blockchain and cryptocurrency applications.
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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 data-powered applications.
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We create the foundation on which Durham is built, using innovative methods that support the City's growth and enhance our quality of life. Are your studies within the Departments of Interdisciplinary Studies, Communication Arts Concentration; Mass Communications, Media Studies Concentration; or English, Writing Concentration.
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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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Experience working with data environments and strong knowledge in querying language and/or querying applications (SQL, Alteryx, BRIO) You strive to better communicate data through data visualization and storytelling.
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Experience with building data pipelines in getting the data required to build and evaluate ML models, using tools like Apache Spark or other distributed data processing frameworks.
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Assist in gathering and interpreting data for metrics Education DegreeHigh School Diploma or GEDRequired Experience 2 - years’ experience demonstrated proficiency in Sterile Processing CRCST Certification and additional certification (CIS, CHL, FCS and/or Endo) required Basic computer skills and aptitude.
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Experience with cloud and on-prem enterprise storage environments such as EMC VMAX/PowerMax, Data domain, SRDF, SnapMirror, NetApp, Veritas Netbackup, VMware, EC2, EBS, FSx or S3, S3 Glacier or S3 Glacier Deep Archive.
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Flexibility for domestic and international travel· Spanish language fluency is a plusDesired general experiences or exposures through completed classwork or work experience include hydrologic, hydraulic, watershed and/or reservoir model set up, calibration, and assessment/interpretation; spatial, time series, and generalized data collection, organization, quality assurance, and interpretation; and project documentation and report writing.
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7+ years of data engineering experience, including in senior and team leadership roles, at peer firms utilizing agile methods and modern SDLC processes to deliver quality technological solutions in a transparent, reliable way.
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Experience with systemness with demonstrated success building, adapting and evolving quality program(s) across multiple entities; including harnessing technology to streamline data aggregation and analysis.
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Data Science: Utilize a wide range of data science techniques to extract, clean, and transform data, ensuring data quality and integrity. Marken is currently seeking an experienced Data Scientist to join our team, someone who is passionate about data-driven insights and has expertise in problem-solving, programming, statistics, machine learning, data analysis, data visualization, and exceptional storytelling skills.
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data quality jobs Title: data engineer Company: Radancy in Durham, NC
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