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Offer expertise relevant to statistical programming and CDASH data collection for study start up, execution, and close out: review protocols, draft CRFs; prepare and review validation plans, review vendor DTAs, etc.
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Key topics of interest include but are not limited to: natural language processing, large language models, predictive modeling for disease outcomes and personalized therapeutic recommendations, working with common data model EHR standards (e.g., OMOP), multi-modal (e.g., genomics, imaging, and clinical data) deep learning for clinical decision support, unsupervised learning to discover biologically-relevant disease subtypes, among others.
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Use study protocol, CRF, Data Transfer Agreements from vendors, data sources, CDISC CT, TAUGS, and CDISC implementation guides to independently author SDTM specifications from scratch; use Pinnacle 21 to run data conformance and create define.
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You'll grow your skills in data science, AI, machine learning, operationalization, predictive modeling, and more. If you care about moving a mission forward as much as advancing the field of data science, this is the opportunity for you.
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We seek a program manager to lead a multidisciplinary team in atmospheric science and oceanography at NOAA/STAR providing environmental product development, calibration, validation, and systems engineering support for NOAA's operational, international, and interagency satellites, including the transition of emerging capabilities into operations.
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They would be expected to teach classes such as 'Environmental Data Analytics and Watershed Science' and 'Sensor Technology and Data Sciences'. In the context of "Water and Environment Data Science", we are particularly interested in applications in landscape or watershed-scale systems containing interconnected ecosystems, integrated with and influenced by human activities, and analyzed and managed through data science and technological approaches.
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May recommend data analytics strategies including enterprise data warehousing, master data management, data quality, data governance, Big Data, business intelligence, visualization.
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Requires a technical degree: Atmospheric Science, Meteorology, Oceanography, Physical Sciences, Engineering, Physics, Computer Science, or Mathematics is preferred. Global Science and Technology, Inc (GST), is seeking a Program Manager to join our team supporting The Center for Satellite Applications and Research (STAR) which is NOAA's premiere research office for developing the satellite algorithms needed to transform satellite observations to environmental measurements.
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2+ years of experience in data analytics, data science, or related field. Experience conducting statistical analyses and data mining using tools, such as SPSS, SAS, Stata, or Minitab.
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The GLP - IPO , based at UMD , serves as a catalyst to achieve the mission of this international network to enable research for sustainable development of land systems via four main objectives: 1) Setting agendas and facilitating synthesis in land system science; 2) Enabling the production of cutting-edge land system science worldwide; 3) Informing science-based policy on land; and 4) Building capacity of the Land System Science ( LSS ) community to deliver inclusive, solutions-oriented science.
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Remote Work From Home Jobs / Data Entry Clerk - Typing - Work At Home - Doing Data Entry - 100% Remote - Earn Immediately. Our paid market survey participants originate from all backgrounds and markets including data entry clerk, administrative assistant, receptionist, sales assistant, customer service agent, warehouse or factory workers, chauffeur, medical assistant, nurse, phone call facility representative, etc.
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The DataOps platform will be focused on using data science to improve the communication, integration and automation of data flows between data managers and data consumers across the organization.
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Lead and manage data science, data modeling, machine learning, AI Ops, and ML Ops service offerings to our customers. Productize data science, management, governance, privacy, and analytics as an offering to our large institutional customers.
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Lead the evaluation of emerging data science technologies including testing and integration of new solutions. This role will build teams to deliver highly performant and scalable data products and platforms to drive consumption of data from our enterprise data ecosystem, while driving data engineering best practices; lead, manage, and grow multiple high performing teams of product focused software & data engineers.
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As a member of the EED-3 team, the Senior DevSecOps Systems/Software Engineer will build innovative tools allowing scientists and students alike to discover, transform, update and improve the quality of Earth Science data in the pursuit of solving a wide range of environmental and socio-economic issues.
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data science jobs Title: data architect Company: Microsoft in Lanham, MD
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