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Vendor certification (Azure Data Engineering, PowerBI certifications, Snowflake Certifications.) Utilize experience on various BI and data tools like PowerBI, Azure Data Engineering methodologies (ASQL, ADF, ADL, Logicapp, etc.
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RDI (Rewards Data Intelligence) offerings are compensation-related data products, such as compensation surveys, HR analytics and insights. Familiarity with data technologies such as data visualizations, Natural Language Processing (NLP), Machine Learning, generative AI. Comfort with big data approaches, such as data lakes, desirable.
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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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Essential for the RoleRelevant PhD and 10+ years of experience or Masters Degree and 12+ years of experience combining technical expertise in bioinformatics, computational biology or data science and in applying informatics to drug discovery, with an outstanding track record of impactful delivery in pharma R&D.Experience managing large, multi-layered, diverse and global teams with a focus on performance, coaching and professional development.
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The Davies Lab have used unoccupied aerial vehicles to collect a large amount of LiDAR data spanning natural and experimental gradients of climate, wildlife abundance, fire frequency, and other factors at multiple sites across Africa, which will be available for use by the postdoctoral researcher to answer questions related to animal and landscape ecology.
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Medicaid or other healthcare or claims processing experience Strong communication and organizational skills JOB DESCRIPTION As a member of the Executive Office of Health and Human Services Data Management & Engineering, the Data Platform Administrator will be responsible for the administration, configuration, and support of IT platform applications and tools for MassHealth users.
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15+ years’ experience with Core Corporate Finance, Treasury and Corporate Functions – exposure to the General Ledger, Chart Of Account, FP&A, Procurement, Regulatory Reporting, Master Data Management, Treasury and Cash Management Processes.
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6+ years of prior work experience with text data and advanced natural language processing (NLP). The Asset Management Technology, Quant Development Data Science Team is seeking a highly motivated and technically proficient Director of Data Science who is passionate about applying new AI technologies in the finance domain.
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Experience with modern columnar data warehouses such as Snowflake, Redshift, BigQuery. Driving Results: Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Python and/or Node.js, SQL (using dbt for transformation), commercial SaaS and OSS offerings, and AWS ‘big data’ technologies.
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Key responsibilities will include developing and migrating off legacy Oracle Data Warehouses to a new data platform as the foundation for a key set of offerings running on Oracle Exadata and Cloudera's distribution technology.
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Certification/Specialized Skills: Git, Python/R, SQL; software SDLC and package/library development; shell/bash/command line scripting; big data stack (Spark/Hadoop); applied machine learning; statistical analysis; data visualization and reporting tools; AWS; ability to manipulate, clean, and combine large, complex disparate data sources; ability to read, learn, and evangelize algorithms and statistical methodologies from peer-reviewed literature.
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Oversee and direct the design and implementation of the CDM process with vendors, including clinical systems design, build and testing, data integration, data review, dictionary coding, data quality checking, data transfer, reporting, and archival activities for EDC, IRT, and other clinical systems.
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Our ETL platform primarily uses BigQuery, Pub/Sub, Talend, Python, and PostgreSQL. We develop and support RESTful web applications in Django, Redshift, Hadoop, and Spark for higher volume data ETL and analysis.
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Ensure the activities described in the Data Management Plan (DMP) are executed in accordance with the DMP, including data acquisition, data transfer, data reconciliation and review, medical coding, data extract and rolling data freeze, data lock and database lock.
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Ph. D. in Data Science, Computer Science, Bioinformatics, Computational Biology, or a related field. The ideal candidate will have a robust background in data science, machine learning, bioinformatics, and specific expertise in DNencoded library (DEL) machine learning and small molecule drug discovery.
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Title: data processor Company: Eps in Boston, MA
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