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Taxonomy / ontology development and management, metadata management, content modeling, auto-classification, and data analysis. Project and resource management, including scheduling, process and workflow development, project documentation, and defining success criteria and measurement.
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The Division of Health Policy and Insurance Research (HPI) SAS Programmer/Analyst assists with database development, software programming, data management, statistical analysis, and results reporting for a variety of internal and external projects.
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Are preferredBasic Knowledge of security-related topics such as authentication, entitlements, identity management, data protection, data leakage prevention, validation checking, encryption, hashing, principle of least privilege, software attack methods, and data storageFundamental knowledge of process reengineering and methodologies, including flowcharting and technical design documentationAbility to convey complex technical security concepts to technical and non-technical audiences.
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Understanding of modern data architecture and experience with core data services like maintaining data lakes, data warehouses, data marts and relational and dimensional modeling, data quality and master data management.
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The EADA I will support the continued development and maintenance of EOHLC's implementation of Efforts to Outcomes (ETO) software and any other data systems used to determine program eligibility, track shelter placements, and conduct case management, rehouse residents, and administer post-shelter stabilization.
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The Senior Lead Data will be responsible for partnering with Technology, Machine Learning, Product Architecture, and other Capital One teams to support the development of the Finance Tech Data Strategy into products and services we create and consume.
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Direct and working knowledge of Mobile Device Management (MDM) platforms (i.e., MaaS360, AirWatch/Workspace One, MobileIron, Meraki, Jamf, Intune/MSEM). Interface with the Microsoft Office 365 cloud with ActiveSync in the current AirWatch cloud and support the development of new MDM non AirWatch solutions.
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Hands-on development experience with Design and Architecture of big data frameworks/tools: Azure Data Lake, Snowflake, Azure Data Bricks. 8+ years of related professional experience including 5+ years in data lake development in large reporting environment(s.
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You will work cross-functionally across Product, Product Marketing, and our Customer-Facing Data Science team to (1) educate the Sales team on the technical capabilities of our integrations as well as caveats, (2) identify and surface solvable technical friction and unexpected opportunities or synergies in service of product development, and (3) serve as an integrations SME for product marketing’s joint value propositions.
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Moreover, this embedding with DSI nurtures fertile Research and Development collaborations that leverage DSI’s excellence in quantitative pharmacology, biostatistics, and big data. Significant experience in drug discovery and development within the biopharma or biotech sector, from target identification through to initial clinical proof-of-concept.
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Plan, organize, and direct the analysis, design, development, implementation, and operation of information security and data protection requirements for MGC licensees. Bachelor's degree from an accredited college or university in Computer and Information Science, Computer Engineering, Computer Systems Analysis, Information Cybersecurity and five (5) years of progressive information security experience across various information security/information technology risk management domains such as but not limited to application security, infrastructure security, identity, and access management, vulnerability and cyber threat management, security architecture, etc.
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The person will work directly with stakeholders across – ESG Investments, ESG Product Strategy, ESG Data and Operations, Client, Product and Regulatory Reporting, and Enterprise Risk Management to understand their data and reporting requirements and to translate requirements into functional specifications for technology partners building/ enhancing IT solutions for ESG reporting.
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Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
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Architect and sustain comprehensive data pipelines and structures crucial for advancements in drug discovery and precision medicine, ensuring compliance with HIPAA, GDPR, GXP, and FDA regulations through robust data governance.
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Exceptional matrix team leader, ability to interface with leaders across the enterprise and project teams to develop long range plans and budgets for clinical biomarker pathology technologies aligned with company objectives, identify, pilot and establish new pathology related technologies to meet drug development needs in Ph 1, Proof of Mechanism/Concept, and in registrational clinical trials.
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data management drug development jobs Title: president in Cambridge, MA
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