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Functional expertise in employee life cycle, performance management, compensation, benefits, recruiting, employee development, employee relations, HRIS, and data collection and analysis. Addgene is seeking a progressive, dynamic, business-focused HR Business Partner, Systems & Data. You will play a key role in delivering on Addgene’s people and organizational priorities.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Base System: RedPoint Data Management Suite, RedPoint Marketing Automation Suite, MS Azure, Salesforce DMP, Azure SQL DW & SQL Service. Notably: (1) BI and reporting, (2) Data management initiatives related to our key marketing database sources, and (3) initiatives related to our Ad tech data management Platform (Salesforce DMP.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Strong knowledge of and experience with data governance as a practice, including enterprise data management, data lifecycle management, data anonymization & masking, data quality, data lineage, data privacy, data security, meta data management, data analytics and reporting, and artificial intelligence (AI.
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The ideal candidate will have a robust background in systems design, distributed systems, and computer architecture, with a demonstrated ability to architect low-latency, reliable, cloud-based applications.
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As a Senior Oracle Cloud Project Portfolio Management (PPM) Solution Architect, you will lead the design, implementation, and optimization of our Oracle Cloud PPM solutions. Proven experience (7+ years) as a Solution Architect, or similar senior consulting role specializing in Cloud Project Portfolio Management (PPM) solutions architecture.
$150Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Familiarity with CI/CD pipelines, version control, and infrastructure as code (IaC) using tools like Azure Resource Manager (ARM) templates, Azure PowerShell, or Azure CLI would be good but not required.
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Knoledge in Databricks, PowerBI, programing languages including SQL, Python and PySpark, data principles including data pipeline, streaming data, data storage, ETL, data integration, database design Leadership (Vision, strategy and business alignment, people management, communication, influencing others, managing change.
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Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny) The Clinical Data Analyst partners cross functionally to identify risk to data integrity throughout the data flow to drive quality collection for non-EDC data sources (fluid & tissue labs, digital, imaging, wearables) in Dyne's clinical studies.
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Google Professional Cloud Architect Certified and/or Google Professional Data Engineer Certified. Title: GCP Cloud Architect. Should have good conceptual knowledge on Data.
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Experience with a variety of flow cytometry data analysis and bioinformatic tools, including FlowJo, FCS Express, OMIQ, Cytobank and/or programming with Python or R. Provide support for drug discovery projects through assistance with experimental design, flow cytometry techniques, and data analysis for pre-clinical and clinical studies.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Establish traceability between data in Cameo and Enovia, including the use of appropriate middleware as needed. Demonstrate expertise in the use of Cameo Enterprise Architect to create SysML diagrams to capture mission thread, requirements, and architecture information.
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To achieve this vision, mRNA CoE is looking for data scientists who will be embedded in labs and will work closely with the scientists in the mRNA Sciences, Delivery, Chemistry, Discovery Biology and Biomarker teams.
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Reporting to the SVP of Operations, the Product Master Data Analyst is responsible for overseeing and managing the master data set within the organization's ERP system (Netsuite) for Product, Suppliers, and 3PL data.
Full-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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3+ years of experience with at least 2 of the cloud service providers (CSPs) Amazon Web Services (AWS), Microsoft Azure, Google Cloud Plaform (GCP) and/or Oracle Cloud Infrastructure (OCI) services.
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Provides ad-hoc programming support to Clinical Operations, Data Management, Statistical Programming, Biostatistics, Drug Safety, Clinical Science, Medical Writing and Drug Safety to ensure rapid access to clinical study data for data cleaning/validation, SAS listings review, TLF, dry runs, etc.
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