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We deliver innovative, data enabling technologies (i.e., software) that provide biotech/pharma (R&D) teams with enterprise-level access to sample/biomarker data management solutions & analytics, information, insight & reporting capabilities.
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Actively supporting the Sales Enablement and Go-to-Market Data Strategy by ensuring data quality, adhering to key processes and policies, and influencing strategic decision-making.
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LightFeather is currently seeking talented Full Stack Software Engineers who are well versed in Agile Development using Object Oriented Programming and microservices in the AWS cloud using React and Java Spring Boot.
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In-depth knowledge of the competitive landscape and existing contracts within the Navy/USMC Market Place, specific to the Pax River, Dahlgren, and Quantico markets. Additional knowledge and experience with adjacent capabilities in the areas of Enterprise IT; Cyber Operations, ITSM and Managed Services; Data Center, Cloud and Cloud Migration; Data Transport and Systems Integration; Application Development and Modernization; Big Data and Data Analytics is a plus.
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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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Proven technological proficiency in: Java, Spring/Spring Boot, Hibernate, JavaScript, React, HTML/CSS, and SQL. java, php, programming, sdet, software developer, software engineer, software programmer, sw.
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Software needs might include ServiceNow, SharePoint, Adobe Forms, automated email messaging, PowerApps, Tableau for visualization, and Splunk. Experience managing vulnerabilities in both on-premises systems and in cloud environments, (e.g. Amazon Web Services, Microsoft Azure, Google Cloud, and Data Centers.
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Assist with the installation of local and/or remote data and voice communications equipment to include but not limited to voice terminals, video conferencing units, concentrators, minicomputers, central processing units, and facsimiles.
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Data Science, Decision Analytics, Data Mining, Information Sciences, Information Technology, Quantitative Analysis, Operations Research, Operations Analytics, MBAs with Analytical Focus, Engineering, Computer Science, Statistics, Data Management, Decision Science, Quantitative Science, Mathematics, Information Systems, Industrial Engineering, Artificial Intelligence, Computer Vision, Machine Learning, Natural Language Processing.
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Salary: Data Entry Work from Home - Part Time Computer Job. Work from Home Online Computer Work - Administration, Data Entry & Short Studies/Feedback - Part Time & Full Time Work - No Experience Needed, Training Provided.
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An ideal candidate for the Data Science Content Writer will possess a strong industry background within data science who can own content writing and ghostwriting to help drive market awareness.
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The Energy & Environment group supports federal clients in strategic planning, stakeholder engagement, community benefits plans, community engagement, technology deployment and scaling programs, and other analysis, data collection/modeling, and research projects related to clean energy demonstration programs/projects.
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Demonstrated knowledge of data structure desired, but not essential; information systems/tools, and related software and data management; enterprise content management, and record-keeping policies and practices in a complex organizational environment.
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Background Information:Innovative Defense Technologies (IDT), provider of automated software testing, data analysis, and cybersecurity solutions for complex, mission-critical systems for the US Department of Defense (DOD) and commercial customers, is seeking a Sr. Software Engineer to be based in our Arlington, VA office.
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Proven expertise in AI Services, Cloud Services, Cybersecurity, IT Operations, Program Management, Network Engineering and Administration, Disaster Recovery, Data Center Operations, Cloud Engineering, Data Architecture, and Data Engineering domains.
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