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The Scientific Knowledge Engineering team, which sits within the Onyx Product Management organization, is responsible for the data modeling, ontology definition and management, vocabulary mapping, and other key metadata activities that ensure Onyx platforms and data assets speak scientific language.
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Have earned at least a Bachelor's degree in the fields of biology, toxicology, chemistry, physics, geospatial science, geography, geosciences, limnology, environmental science, ecology, engineering, computer science, information science, mathematics, bioinformatics, statistics, computational biology, or a related field of study from an accredited university or college within the last 24 months and.
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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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DE performing data profiling and analysis using Informatica Data Quality; preparing, analyzing, and portraying business metrics using BI reporting tools — OBIEE and Power BI; preforming data profiling and analysis using Informatica Data Quality (IDQ); pre-processing data to identify macro trends or information — out-of-range values — in Snowflake using SnowPipe loaded xml files.
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You will also develop data-driven technical analysis and/or program recommendations from common reliability engineering KPI’s such as mean time between failures, mean time to repair, overall equipment effectiveness, failure rate, availability, maintenance costs, mean time between maintenance, equipment downtime, mean time between loss, cost of unplanned downtime, etc.
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Qualifications:Bachelor’s degree in Statistics, Biostatistics, Computer Science, Mathematics, Data Science, Engineering, or a related field. Preferred Qualifications Include:Master’s degree in Statistics, Biostatistics, Computer Science, Mathematics, Data Science, Engineering, or a related field.
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You will partner closely with Onyx's organizations, including AI/ML, 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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In this role you lead our facilities operations and automation engineering teams accountable for process control, control system infrastructure, data analytics and control room operations.
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Knowledge of Reliability Engineering / Program Management including asset lifecycle management practices; specifically, engineering / facility best practices, reliability engineering, engineering document management, computerized maintenance management, and commissioning/qualification/validation.
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This position reports to the Senior Manager, Systems Engineering and works collaboratively with R&D, Process Engineering, and External Parter/Integrator teams. Position Summary: The Automation and Controls Engineer is primarily responsible for design, specification, commissioning, and support of prototype and industrial automation equipment and data systems at Biomason’s research site as well as its manufacturing partner site(s.
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The Workplace Investing Data Engineering and Exchange AI Delivery Chapter team is seeking a highly motivated Data Analyst/Developer to help drive data analysis on claims datasets and develop an EDL pipeline for a squad working on Health Care application which provides an out-of-pocket cost estimate and recommends a health plan at the time of Annual Enrollment.
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Devoted to providing professional civil engineering design, contracting support, and construction oversight for a variety of public works Capital Improvement Program (CIP) infrastructure projects including stormwater drainage, roadway, and water and sewer.
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Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
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Preparing and presenting research data during Eye Center and Biomedical Engineering collaborative meetings. A Research Analyst position is available at the Duke University Department of Ophthalmology to provide engineering support for research and clinical trial study activities involving novel ophthalmic imaging technology.
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Demonstrate high agility to work across various business domains, including IT, engineering, laboratory teams, and collaborating partners, to identify data sources and develop data extraction methods that ensure data integrity and security.
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data engineering jobs in Durham, NC
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