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Verana Health, a digital health company that delivers quality drug lifecycle and medical practice insights from an exclusive real-world data network, recently secured a $150 million Series E led by Johnson & Johnson Innovation – JJDC, Inc. (JJDC) and Novo Growth, the growth-stage investment arm of Novo Holdings.
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Data collection and analysis of blockchain activity to understand trading activity, incentives, and how USDC fits in to the broader crypto ecosystem. 5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Our team leverages cutting-edge open-source technologies such as Apache Spark, Flink, Kafka, Airflow, Delta Lake, and Iceberg to build and maintain a scalable, high-quality data ingestion framework.
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BPL is currently involved primarily in new data collection but also in working with previously-collected archival data. -Technical skills in psychophysiology, neuroimaging, behavioral coding, and eye-tracking are desirable as are statistical skills working with psychophysiological, structural neuroimaging, longitudinal, and time-series data.
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Reporting to the Manager of Quality Data Analytics, the Data Analyst, Quality Data Analytics (QDA) will oversee the analysis and reporting of data supporting Quality Initiatives in Health Services.
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As a Data Scientist you should be comfortable discussing statistical and machine learning methodology and have significant experience with Machine Learning systems, working with the details of algorithms, not just the tools' application.
$245,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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This role will report to the Chief Technology Officer and be responsible for leading a team of data analysts and scientists. The ideal candidate is someone who has a prior record of managing teams, executes company-wide data strategy, and loves the intensity of a high-growth startup.
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Forward is on a bold mission to make high quality healthcare available to a billion people across the globe. Forward - What Quality Healthcare Should Look Like [Mashable] Forward was founded in January 2016 by former executives and engineering leaders from Google and Uber. We are funded by some of the world's best investors and entrepreneurs including Founder's Fund, Khosla Ventures, First Round Capital, Eric Schmidt (Google/Alphabet Chairman), Marc Benioff (Salesforce Founder), and Garrett Camp (Uber co-Founder.
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We are in the process of building a modern data platform with a focus on providing integrated, high-quality, rich, timely, and easy-to-use data to support company business and growth.
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The Community Practice Clinical Data Coordinator at Trial Library will play an integral part in expanding access to cancer clinical trials by pioneering pre-screening efforts in community oncology settings.
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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
$313,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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This includes managing data lakes, data warehouses, and databases, as well as implementing best practices for data modeling, data quality, and data governance.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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Preferred: 2+ years of experience with a modern data stack (Databricks, Kafka, Spark, Airflow, real-time databases) and cloud data warehouses such as RedShift and Snowflake. The ideal candidate for this role will have a background in building large-scale, data-intensive applications with SQL and NoSQL, high-throughput and responsive internal and external APIs for data products, and experience in user experience design.
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Manage data ETL to analyze the state of our clients’ businesses across a variety of systems, channels and data sources (paid search, display media, website, social media, advertising campaigns, offline media, brand sales and brand equity.
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data quality collection jobs Title: linguist in San Francisco, MA, West Virginia
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