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4+ years of experience covering Big Data, Streaming, and Data Engineering related technologies such as spark, using scripting languages such as Python and using object-oriented languages such as Java/Scala/C.
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Solution Architecture with focus on Big Data; Requirements capture, conceptual and contextual architectures, technology selection, detailed design, and planning. During implementation, the Data Solutions Architect will work with both the broader IBM Consulting data leadership team and key project stakeholders to gather data requirements, define, and execute the data strategy.
$123,000 - $231,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Proficient in data visualization software – Spotfire, R/R Shiny. The statistical programmer works collaboratively with the end users, internal colleagues to ensure the high-quality production of data visualizations and statistical outputs using Spotfire/R and other visualization tools.
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Knowledge of LLM, MLOps, DevOps, and Cloud-oriented workflows using Docker/containers, Kubernetes, cloud APIs, data center deployments, etc. Experience working with DevOps on-prem or in cloud environments, including but not limited to Docker/Containers, Kubernetes, cloud APIs, IaaS and Data Center deployments; additional experience with DPUs applications development will be beneficial.
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Performs a variety of research, data, and clerical duties of a routine and technical nature to support the conduct of clinical research under the supervision of a Clinical Research Coordinator or similar Clinical Research Units (CRU), Oversight Organization (OO) designee.
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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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You will partner closely with Onyx's organizations, including AI/Client, a diversity of R&D teams utilizing data to accelerate drug discovery (genomics sciences, computational biology, imaging, computational chemistry, to name a few), along with the Onyx portfolio management and engineering function heads to deliver industry-leading solutions that power R&D workloads.
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The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology, and to develop its multi-cancer early detection blood test.
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The Senior Data Engineer leverages various service category databases, data warehouses, and other technical applications (i.e. SQL, Snap Logic, Access, Snowflake, Python, Excel) to identify, analyze and propose solutions to support SPS consulting projects supporting our clients directly.
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Familiarity with data engineering concept for collection, storage, and validation of data. Advanced knowledge of statistical process control methods and data interpretation. Develops systems and processes for the acquisition and analysis of data trends from process, equipment, and raw materials.
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Organize and lead committee meetings across DUHS, PRMO and PDC as it relates to accounts receivable and or financial data operation improvements. Knowledge, Skills, and Abilities: Data analysis and reporting Billing/Collections Insurance Claims Microsoft Office (Excel, Access, Word, Powerpoint) Good communication skills (verbal and written) are essential.
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Who We AreWillowTree, a TELUS International Company, partners with the world’s leading brands to help them tackle their thorniest challenges - be it launching new digital products, delivering personalized marketing at scale, or harnessing the power of data and AI to transform their business.
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Salesforce Administrator certification, Salesforce Integration Architect and/or Service Management certification would be a big plus. Familiarity with cloud platforms, data management, and security considerations.
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Support the EVS department with multiple metric and data information. Process management functions may include data gathering and analysis, standard methodology research, process mapping, developing and recommending alternatives for improvement, developing performance metrics, obtaining leadership or stakeholder agreement, implementing improvements, and supervising post-process improvement initiative performance to updated standards.
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Familiarity with Azure, AWS, Hadoop, distributed data analytics platforms, geospatial data analytics and data management, and machine learning preferred. To be successful you should have a background in Data Science, Information Systems, Public Health, or a related field, and will work closely with the customers in gathering and managing their requirements.
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big data jobs Title: data specialist Company: Ibm in Durham, NC
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