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Qualifications: Bachelor's degree in Computer Science, Information Systems, or a related field. If you are a passionate and driven Business Intelligence Developer with a strong background in ETL, SQL, Data Modeling, and Visualization, we encourage you to apply by submitting your resume to bk@ Please add me on LinkedIn.
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You’ll also provide user support and data entry for our client’s Digital Asset Management system (DAM) and Veeva Vault PromoMats. Library Science degree preferred. You’ll also provide user support and data entry for our client’s Digital Asset Management system (DAM) and Veeva Vault PromoMats.
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Working within the Core Lab will allow you to exercise and enhance your skills in Chemistry, Hematology and Blood Bank. Apply and join us as we advance the field of Laboratory Science together.
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Functional configuration and SME responsibility for SAP Procurement, Ariba Network, OpenText, Master Data Applications for testing, and project work. Experience in integration of SAP MM with external Planning systems like Blue Yonder Allocation, Manhattan DFIO, Ariba Network, OpenText, is preferable.
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Including, Kubernetes, Microservices, Cloud Data bases MongoDB, Kafka, Spring Boot, DevOps, Jenkins, React, Node.js. Knowledge of data analytics, machine learning, and AI applications in Supply Chain/ pharmaceutical manufacturing.
$160,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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A bachelors or masters degree in business administration, computer science, data science, information science or related field, or equivalent work experience. Examples are data warehousing, business intelligence (BI), data governance, data architecture, data integration, data classification, data strategy, data quality management, data security and privacy, MDM, real-time data pipelines, data standards, regulatory compliance and enterprise architecture frameworks.
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Provide analytical and statistical support on HEOR research performed within claims data, EMR data, clinical trial data, and registry data. Work closely with HEOR principals to design HEOR studies to select the appropriate data (e.g., CRF design, database design, registry data.
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The Director, Data Governance will report to the Senior Director, Data Operations and will be responsible for collaborating with senior stakeholders across multiple departments (Analytics, Ad Ops, Marketing, Registration, Education, Editorial) to set a strategic direction and establish best practices for data.
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GenScript's businesses encompass four major categories based on its leading gene synthesis technology, including operation as a Life Science CRO, enzyme and synthetic biology products, biologics development and manufacturing, and cell therapy.
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Prior experience in Analytics, Big Data, Cloud, Digital Asset Management, Master Data Management and Data Warehousing as it related to Health Plans; Provide solution designs in the area of Analytics, Big Data, Cloud, Digital Asset Management, Master Data Management and Data Warehousing.
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This role is crucial in maintaining and optimizing data replication processes between Adabas and SQL databases, ensuring data consistency, integrity, and performance across our enterprise systems.
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Bachelor’s degree in Business, Engineering, Computer Science, or a related field; MBA or advanced degree preferred. Monitor key product metrics and use data-driven insights to guide decision-making and prioritize efforts.
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Qualifications Education and Training: BS in Chemistry, Cosmetic Science, Physical Chemistry, Chemical Engineering or related sciences with 5+ years of formulating skin/sun care personal care products OR Masters degree with 3+ years’ experience.
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Iron Mountain helps lower cost and risk, comply with regulations, recover from disaster, and enable digital and sustainable solutions, whether in information management, digital transformation, secure storage and destruction, data center operations, cloud services, or art storage and logistics.
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Ph. D. in an engineering or science field such as Computer Science, Electrical Engineering, Statistics, or Applied Math Strong background in Deep Learning and/or Medical Image processing 4+ years of industry experience or post-doctoral studies in Computer Vision, Machine Learning and Image Understanding preferred.
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data science jobs Title: systems in Princeton Junction, NJ
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