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Education: Bachelor’s degree in Human Resources, Industrial/Organizational Psychology, Statistics, Mathematics, Economics, or Computer Science. Partners with HR teams to create, redesign, or automate existing custom reports using SQL, ETL tools, such as Alteryx, relational databases, and data visualization tools, such as Power BI.
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Skilled in key software: ARIES, Petra, ArcMap, PHDWin, Access, IHS Data Management, Enverus, Spotfire, Excel, Powerpoint, Word. Minimum of Bachelor's of science in petroleum engineering or related engineering discipline.
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The agribusiness group offers data and research solutions on major crops and food commodities, fertilizers, biofuels, crop science and animal health. The Team: We are currently looking for a Bioenergy specialist to join S&P Global Commodity Insights’ dynamic Bioenergy Research, to help drive biogas and biomass research data and research globally.
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Building on our unique model of drug discovery, the Research Scientist will deploy state-of-the-art disease modeling, genetic and pharmacological approaches to integrate innovative biology with clinical data science to validate new therapeutic hypotheses, and position drug candidates for clinical success.
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Bachelor's degree or higher in Computer Science, Computer Engineering, Electrical Engineering, Management Information Systems and/or equivalent work experience. Experience working with remote data via REST and JSON, third party libraries and APIs.
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The Biostatistician hired into this role will be primarily responsible for providing Biostatistical and data science support to the TEPHI TWC. This includes designing statistically valid research studies, conducting advanced statistical analyses, and preparing statistical and data analysis reports that aim to forecast and predict future pandemic events from real-time monitoring efforts.
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At Houston Methodist, the Biostatistician position is responsible for addressing the best uses of data science and informatics development for providing a competitive advantage or addressing pressing research, clinical or business problems in Houston Methodist (HM) research, operations, and care, as well as to effectively communicate informed conclusions and recommendations across an organization's leadership structure.
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By leveraging its core competencies, particularly in drilling, engineering, automation, data science and manufacturing, Nabors aims to innovate the future of energy and enable the transition to a lower carbon world.
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Under the guidance and direction of the Director, Center for Health Data Science and Analytics (HDSA) and or the Lead Research Data Scientist, the Sr Research Data Scientist position will work closely with researchers, physicians, scientists, care givers, hospital staff, administrators, and other stakeholders to implement projects of research, clinical and business benefits.
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Collaborate with IT security teams to establish and enforce access controls and data protection measures. College degree in Computer Science/MIS or related field preferred; would also consider someone with an Accounting/Finance degree.
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Proficiency in MS apps (Power BI, Sway, Stream, Power/Flow, Fluid, Whiteboard, Teams, Visio), Matlab, VBA, Python, data science tools. Maintain counterparty ratings and reference data accurately and timely.
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TRACTION's approach combines large scale data science, innovative cancer genetics, disruptive technologies, deep mechanistic biology, disease modeling, and pharmacology to accelerate the translation of novel discoveries.
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Good overall knowledge of Engineering IT systems (e.g., PLM, PDM) and how to structure and flow data from engineering to other stakeholders e.g., SCM, manufacturing, suppliers. We also use applied technology expertise to serve the defense, entertainment, material handling, aerospace, science, and renewable energy industries.
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Education : A higher education degree (MSc or PhD level) in fields such as economics, engineering, mathematics, computer science, statistics, applied physics, meteorology, or equivalent. Statistical Background : Proficiency in statistics and machine learning techniques, particularly when applied to meteorological data.
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Collaboration Communicate effectively, describe results in simple language, manage expectations/progress/timeline with multidisciplinary biomedical/data-science teams, the ability to involve, partner with others professionally, and report effectively to managers.
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data science jobs in Houston, TX
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