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Data integration activities could include, the use of the following tools and languages: SSIS, T-SQL, P-SQL, BIML Studio, Visual Studio, PowerBI, Python, Scala, YAML scripting for data pipelines, Azure Data Factory, C#, Talend, AWS Glue, PowerShell, Databricks, DeltaLake, and/or Microsoft Synapse.
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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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The person hired will work under the supervision of Dr. Kwon conducting patient-oriented translational research involving curated, high dimensional, multiomics data integration, including analysis of metagenomics, metatranscriptomics, metabolomics, host single cell transcriptomics and clinical metadata.
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Experience in Data Science/cloud-based machine learning platforms (AWS Bedrock, AWS Sage maker, Snowflake Cortex etc. Master Data Management: Informatica MDM. Database/Data Warehouse: AWS RDS, Snowflake, AWS Redshift, Knowledge of SQL.
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Ensure alignment between ontology models and existing data structures to facilitate data integration and interoperability. Experience with data visualization tools (e.g., Spotfire) and advanced analytics techniques (e.g., machine learning) is required.
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Demonstrated experience in large scale multi-omics (e.g. bulk or single-cell, spatial sequencing, proteomics, epigenetics, and more), multi-modal data integration, network analysis, and meta-analyses.
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Knowledge of data and application integration/middleware tools such as SnapLogic, Informatica, Webmethods, Tibco, SSIS, etc. Hands-on experience designing, implementing and troubleshooting integration/ETL solutions using wide variety of data sources and targets.
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Provide advice to security administrators on normal and exception-based processing of security authorization requests including the use of system integration or product vendor tools that monitor system use and data access irregularities.
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Data Integration: Integrate data from various sources into Power BI, ensuring data quality and consistency for accurate reporting. Performance Optimization: Optimize Power BI reports and data models for performance, ensuring quick and efficient access to insights.
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The Affera Prism-1 Mapping Software is a 3D visualization software used for mapping of electrical activity in the heart, navigating catheters within the heart chambers, streaming intra cardiac and surface lead electrograms and annotating 3D and 2D data points.
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Collaborate with cross-functional teams, including Clinical Development Operations, Clinical Development, Biostatistics, Pharmacovigilance, and Regulatory Affairs, to ensure the integration and accuracy of clinical data.
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You will be responsible for a business specific Marketo instance including its data integration, process definition, troubleshooting, campaign automation, data integrity and platform enablement.
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CircuitPython, and MicroPython, especially for sensor data processing and integration. Work with a variety of sensors, including mechanical, environmental, and motion sensors, to ensure accurate data collection and integration with existing systems.
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Experience in stream / data processing technologies like Kafka, Spark, Google BigQuery, Google Dataflow, HBaseFamiliarity designing CI/CD pipelines with Jenkins, Github Actions, or similar toolsExperience with SQL, particularly performance optimizationExperience with Graph and Vector database or processing frameworksStrong knowledge of data modeling, data warehousing, and data integration best practices.
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PRINCIPAL DUTIES AND RESPONSIBILITIES: The incumbent in this position will be responsible for:Research Design and Implementation· Develop and execute research projects focused on the integration of Large Language Models (LLMs), Natural Language Processing (NLP), and electronic health record (EHR) data in healthcare settings.
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integration data jobs in Boston, MA
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