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The Senior Data Engineer is a key contributor in the EDA team, providing expertise in modeling data structures and designing, building, and optimizing data mappings. The Senior Data Engineer is a key contributor in the EDA team, providing expertise in modeling data structures and designing, building, and optimizing data mappings.
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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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At least 3 years of experience managing Cloud Data Warehouse database technologies, such as AWS Redshift, Snowflake, Databricks or similar. Design, configure, and manage Data Warehouse Database Systems on Cloud (AWS Redshift, EMR HBase and Snowflake.
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
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Focus on software development life cycle, you will collaborate with our Head of Technology Strategy, Head of Data, Solution Architects, Data Analysts, Data Team, and Portfolio Delivery function Leads to understand customer and technical needs to design and implement the Global Investment data platform, including Persistence, Integration and Services layers of the business solutions in compliance with architecture principles and standards followed by MMC technology.
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Data bases (SQL, NoSQL) and Data Platforms (Databricks, Snowflake) Strong skills with Database management, Data modeling and design DevOps and Security CI/CD, Serverless compute, OAuth, SSO, MFA etc.
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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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We are seeking a Vice President, Data Science to join the Fidelity Digital Asset Management business and report directly to the Head of Digital Asset Operational Capabilities. Proficiency in complex data extraction or processing using Python, SQL, Snowflake.
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This includes data from genomics, proteomics, metabolomics, and other biological sources. + Hands-on experience in handling, processing, integrating, and analyzing large heterogenous biological data sets related to industrial drug discovery research (e.g., sc/snRNAseq, ATAC-seq, genomics, proteomics, etc.
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Harness the power of Databricks Delta Lake and Parquet files for data warehousing, query optimization, and data versioning. Expertise in using Databricks platform on AWS for data processing and analytics.
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Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real-timeThe Senior Software Engineer will play a pivotal role in advancing the technological landscape of GSK, specifically focusing on the design, delivery, and ongoing support of state-of-the-art data driven applications.
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Drive cross-functional collaboration across our data science, machine learning, lab informatics, and medicinal chemistry teams to advance our computational infrastructure for our drug discovery and development mission.
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Job Title: Power BI Developer Local to BOSTON LAST DAY TO SUB PEOPLE IS TOMORROW – 2 OPENINGS Job Description: Primary Responsibilities Design and Develop Power BI Solutions: Design, develop, and maintain Power BI dashboards and reports to visualize data and provide actionable insights.
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Cloud Security: Proficiency in cloud security and experience with cloud service providers (e.g., AWS, Azure, Google Cloud, O365) and SaaS Data Security, knowledge of secure cloud architecture design, cloud data protection mechanisms, and cloud identity and access management (IAM.
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We are seeking a Principal Scientist to join the Data Science unit at our Cambridge, MA office to develop and leverage innovative computational biology algorithms supporting translational research use of Caris’ large-scale multi-omics data.
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data job Title: senior compensation in Woburn, MA
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