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TRANSITING EXOPLANET SURVEY SATELLITE (TESS) MIT PROGRAM MANAGER , Kavli Institute for Astrophysics and Space Research , to manage ongoing space operations and science data production in close coordination with the mission principal investigator, Dr. George Ricker.
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Manufacturers of all sizes, across industries including consumer electronics, aerospace and defense, contract manufacturing, automotive, apparel, medical devices and more, have implemented Tulip's intuitive platform to solve some of the most pressing challenges in manufacturing: error-proofing processes with guided workflows, integrating industrial IoT (IIoT) technologies with legacy factory machines, and capturing and analyzing real-time production floor data.
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Critical aspect of the role includes defining an agile quality and compliance strategy that supports Digital Data unit in their effort to establish a standardized, resilient, and sustainable data pipeline - including data sources, data quality, data governance, data management and master data management.
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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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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers for full-time positions with clients.
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Design and Develop CI/CD pipelines for Azure Data Factory, MuleSoft, Salesforce. Develop, optimize, and maintain Azure DevOps CI/CD pipelines, ensuring seamless integration with Terraform deployments.
$128,500 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Develop and apply bioinformatics, computational biology, and machine learning tools to generate insights and hypotheses from high-dimensional molecular datasets, with an initial focus on proteomic data.
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We are seeking a candidate with a background in bioinformatics, computational biology, biostatistics, or related field with experience analyzing large genomic and transcriptomic (bulk and single-cell) next-generation sequencing data, leveraging publicly available data from publication and repositories (GEO, TCGA, Ensemble, etc.
$70,000 - $105,100 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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In partnership with the Data Science team, manage bioassay data integration into the Flare data management platform (supporting early hit finding through DC candidate identification) and help lab scientists analyze and report project data efficiently.
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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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Proficient in integrating experimental data into Laboratory Information Management Systems (LIMS) to ensure accurate and efficient data management and accessibility is preferred. Demonstrate a proven track record of efficiently collating, analyzing, visualizing, interpreting and communicating complex data sets using a repertoire of digital tools.
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System integration, automation, and cloud experience (e.g., Azure DevOps, GitHub, GitLab, Jenkins, etc.) Public Cloud and cloud security fundamentals (e.g., AWS, Azure, GCP, cloud infrastructure security, container security.
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Experience working with cloud data warehouses (Snowflake, BigQuery, and/or Redshift) We are looking for a Principal Data Analytics Engineer with experience in data modeling to join the Data Engineering team at CarGurus as we scale out our data modeling framework in dbt.
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Experience with a variety of flow cytometry data analysis and bioinformatic tools, including FlowJo, FCS Express, OMIQ, Cytobank and/or programming with Python or R. Provide support for drug discovery projects through assistance with experimental design, flow cytometry techniques, and data analysis for pre-clinical and clinical studies.
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Stays current on emerging technological trends and external communities related to process modelling, data science, data engineering, computational process development, and advanced process control.
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azure data jobs Title: databricks in Lexington, MA
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