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Experience in at least six of the follow technical areas: network design and development; data center network services; virtual private network (VPN) services; Trusted Internet Connection (TIC) Services; network backbone services; collaboration with external Internet service providers (ISPs); Voice over IP (VoIP) implementation and quality management; wireless networks; IP address management (IPAM) services; Dynamic Host Configuration Protocol (DHCP) Services; and Cloud Network Services.
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Design, build, and own a scalable data infrastructure strategy to support company-wide analysis and reporting across products, ensuring the team builds high quality, reproducible and reusable analytics.
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Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations.
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The Biomedical Curator will support indexing quality control. Preferred Qualifications:Advanced knowledge of biomedical databases (especially PubMed/MEDLINE) and database search skillsUse and administration of Jira, SharePoint, and Microsoft TeamsMid-level data analysis in Excel, such as:Professional Skills:Strong communication skills including ability to collaborate with management, technical and scientific staff to accomplish projects and tasks.
$122,328 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience using Elasticsearch/Kibana or data visualization software (Tableau, ArcGIS, Analyst Notebook). We integrate off the shelf and new development efforts to sustain and enhance existing architecture and by leveraging cloud-based computing, artificial intelligence (Al), machine learning (Client) and cross-domain transfer systems to provide cutting edge requirements management, task coordination, data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members.
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Provide advice in matters related to safety and pharmacovigilance which includes developing pharmacovigilance practices such as set-up and configuration of the safety database, signal detection, trend analysis, analysis of aggregate safety and adverse event data to identify safety concerns in Division-supported clinical trials and provide expertise in preparing reports related to the manufacturing of investigational products such as development safety update reports (DSUR.
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In-depth knowledge of data processing including data modeling, data transformation, ETL, and visualization techniques. Security: Implement robust security measures to protect sensitive data and mitigate potential risks.
$150,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in programming languages such as Python, R, or Stata, and experience with data manipulation, analysis, and analysis libraries (e.g., SAS, SPSS, Power BI, MATLAB). Work with the data manager and/or data scientists to plan and build database infrastructure for each research study Experience with performing statistical analyses for clinical and field-based research studies (e.g., intervention studies, epidemiological studies, patient-reported outcomes research and/or clinical outcomes research, etc.
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Implement best practices for data governance, data quality, and data security across the entire data lifecycle. Experience in stream / data processing technologies like Kafka, Spark, Google BigQuery, Google Dataflow, HBaseFamiliarity designing CI/CD pipelines with Jenkins, Github Actions, or similar toolsExperience with SQL, particularly performance optimizationExperience with Graph and Vector database or processing frameworksStrong knowledge of data modeling, data warehousing, and data integration best practices.
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Our experts in public health, performance evaluation, and health operations solve the complex problems faced by civilian and military customers alike by leveraging advanced tools including digital transformation, artificial intelligence, data analytics, cloud enablement, modeling, and simulation, and more.
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Process data and information at massive scale as an Artificial Intelligence (AI) and Machine Learning (ML) Engineer with machine learning technologies. Experience with creating benchmark datasets and Python packages to facilitate data science objectives.
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Performs required procedures and data collection activities at necessary in observational settings such as, ED, Cath Lab, EP Lab, ICU/Step down area, physician office, OR, and other required areas.
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The individual we seek is intellectually curious with a demonstrated background in continuous improvement of trade compliance processes and trade data management to support harmonization of the global trade compliance program globally.
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REQUIREMENTS OF THE RN-POSTPARTUM:Coordinate patient care through a continuum and facilitate the achievement of optimal outcomes in relation to care, quality and cost effectiveness. Administer oxygen therapy, monitor oxygen equipment, and interpret and respond to data.
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Develop, test, and maintain high-quality front-end code using HTML, CSS, JavaScript, and modern frameworks (e.g., React, Angular, Vue.js). Position Summary: The Lead Front-End Developer will oversee the front-end development team and ensure the delivery of high-quality, user-friendly web applications.
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data quality jobs Title: data steward in Bethesda, Arlington, Tennessee
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