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Experience in complex molecular data integration, such as transcriptomics, proteomics, and metabolomics, and in deriving insights from such analyses will be advantageous. Advantageous to have experience in complex molecular data integration, such as transcriptomics, proteomics, and metabolomics.
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You will be joining as a Principal Systems Integration Engineer/Scientist in the Applications Development team and be responsible for integrating genomic applications on the Volta Labs fluidics platform and contributing to internal process improvements.
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Improve scalability and performance of the platform through integration with big data frameworks (Databricks, Snowflake, etc. Experience with data visualization tools and packages like matplotlib, Plotly, Tableau, Qlik, etc.
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Experience on SAP integration with trading platforms (e.g. FXall, 360T) and market data feeds (e.g. Bloomberg and Reuters) Hands-on expertise with any of the SAP Treasury core components (i.e. Cash management, Transaction manager, In-house cash, Risk analyzers, Liquidity planner, Hedge management and accounting, SWIFT integration, BCM, integration with financial accounting and other applications.
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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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Hands-on experience in integration of large multi-omics data (genomics, transcriptomics, proteomics and metabolomics) to answer key scientific questions related to precision medicine and understanding disease.
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Evangelize the vision to ensure Takeda remains connected and aware of the 'data layer', and related complexity, as the foundation to successful and autonomous data micro-services delivery: Master Data, Transactional Data and Data boundaries, data integration, micro-services connectivity/communication, usage patterns, timing and distributed systems impacts to name a few.
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As an Information Architect , you will deliver innovative data management, integration, and streaming platforms to underpin cutting-edge drug discovery processes. Use your technical skills to extend and enrich data management platforms to support new modalities, e.g., Gene Therapy, Proteomics, Functional Genomics and more.
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Radar Receiver Exciter integration and test engineers are the liaisons between many Radar system components and are responsible for Radar Receiver Exciter data analysis and calibration, integration of hardware with firmware and software, and resolving system level issues that may stem from software or hardware anomalies.
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TAPI, JTAPI, SIP based, agent desktop customization, soft phones, attached data, call event models, web services based CTI integration. Predictive Dialer vendors & technologies (CTI integration / Noble.
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Reporting directly to the Director, Business Applications, this position will be responsible for leading data strategy, contributing to enterprise data lake & analytics platforms using Snowflake, Fivetran and DBT technologies and drive standardization, operational excellence across the organization.
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Deliver datasets from onboarding through mapping and automated DQ so they can be handed off to the Data Operations team for DQ maintenance and consumed by research teams and production. The Asset Management Quant Research Engineering team is looking for a Principal Data Engineer who wishes to take on the challenge of building a world-class data operation.
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This position is for an Data Science entry level role in the Verizon Global Network & Technology organization. Analyze and gather input in areas including information retrieval, distributed computing, large-scale system design, networking, and data storage, security, artificial intelligence, natural language processing, UI design, and mobile.
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At 1910 Genetics, we put computation at the heart of drug discovery, blending expertise in computational chemistry, structural biology, pharmacology, genetics, data science, and software engineering to develop drugs for previously undruggable targets.
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Experience with data governance and reporting tools including Informatica Axon and EDC, Microstrategy, Power BI, Tableau, and BeX. The University places a strong emphasis on excellent scholarship, outstanding teaching, and interdisciplinary research, with major initiatives in data sciences, antiracism, public health, neuroscience, systems biology, photonics, biomedical engineering, medicine, and emerging infectious diseases, along with communications, the humanities, and the arts.
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