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Architect and implement big data processing solutions using Databricks, leveraging Apache Spark for data transformation, ETL processes, and machine learning workflows.
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Apply computational tools and machine learning/deep learning techniques to analyze and interpret complex biological data relevant to drug discovery. Strong proficiency in programming (e.g., SQL, Python, R, MATLAB), database technologies (Oracle, mySQL, relational databases; graph databases are a plus), machine learning/deep learning (network architectures are a plus), dimensionality reduction techniques (e.g., PCA), and possible cheminformatics software suites.
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3+ years of hands-on experience in cloud data warehouse, data lake like Snowflake, Amazon RedShift, Azure Synapse. Cloud data warehouse Snowflake or Amazon Redshift. BI and Data Visualization and Data Discovery tools like Power BI, Tableau or ThoughtSpot.
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Excellent programming skills (including R, Python, SAS) and deep-knowledge for statistical analysis and machine learning. Demonstrated experience in cancer genomics and omics data analyses, including experience with developing pipelines for next-generation sequencing data analysis and QC.
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Responsibilities include developing and delivering coursework that emphasizes real-world applications, creating independent learning modules for fire service instructors, and providing comprehensive training on emergency management principles.
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Albertsons will train you to become a pharmacy technician offering classes from our pharmacy learning and development team, pharmacy computer system and hands-on training with our teams. You take pride in the work you do, whether big or small.
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Utilizing your ML and deep learning expertise (GNN, geometric deep learning, diffusion models, LLM), you'll extract insights from diverse data. Join our dynamic team as full-time Machine Learning Scientist for a hybrid position located in Lake Forest, IL. In this role, you'll be a vital part of a dynamic R&D team, connecting scientists in medicinal and computational chemistry.
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Develop learning content and associated assets including eLearning, instructor-led curricula, job aids, learning journeys, case studies, demos, and complex learning experiences using a variety of modalities.
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The courses, learning activities, and resources provided to you in our pharmacy technician training program are designed to give you foundational and advanced knowledge, skills, and on-the-job experiences you need to prepare to become a certified pharmacy technician.
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Strong knowledge of Enterprise Monitoring Tools such as Dynatrace, Datadog, AppDynamics, Big Panda, SCOM and LogicMonitor is critical. Responding to alerts from the enterprise monitoring tools, automation and escalation from IT Service Desk. Work with cross-functional teams throughout IT to isolate and resolve unplanned outages.
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Experience with both tradition RDBMS analytics developed through SQL and big data processing technologies (e.g., Apache Spark). Collaboration with the Analytics Engineering Director to work hand in hand with the Platform/Digital and DevOps team to specify platform requirements, tool enhancements, observability & monitoring, security/audit, and alerting on various data pipelines and jobs as needed for operation the Commercial Analytics Engineering organization.
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Executes HEOR research using internal data sets including writing protocols and statistical analysis plans, defending in protocol review committee, and executing research with analyst to writing final reports or publications using prospective, retrospective, modeling, PRO's, meta analyses and hybrid designs.
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Experience with machine learning and AI platform integration is highly desirable. Implementing and optimizing machine learning models to enhance business decision-making. This includes creating dashboards, visualizations, algorithms, machine learning models, and business tools for use across the organization.
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Knowledge in: Digital Transformation Methodology and Technologies, concepts of Big data and Analytics. Experience with Allen Bradley family of PLC's ControlLogix and AVEVA software solutions, HMI/SCADA, Data Historian, and Batch software is a preferred.
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Learning data requirements, usage, and issues that will be addressed by the data strategy. Deerfield, ILCall note MUST have- Looking for Data steward primarily in Finance domain, having experience in Data Governance.
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big data learning jobs Title: machine learning engineer in Vernon Hills, IL
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