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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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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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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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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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Engage with other Global DD&T (GDD&T) platform leads to ensure infrastructure is built to support all internal & external digital experiences; collaborate with Chief Data Officer (CDO), Chief Technology Officer (CTO), and Chief Information Security Officer (CISO) to ensure strict compliance with data, technology, and information security standards.
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Duties include:·Integrate and organize existing data from many modalities, including 16S amplicons, shotgun metagenomics, multiplex ELISA, metabolomics, and more. 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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The Data Science Analytics & Insights team within J&J Innovative Medicine R&D develops innovative solutions using a variety of data sources across multiple different disease areas. Participate in cross-functional collaborations with external companies and internal scientific, clinical, and data science teams.
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The HRIS Analyst will be responsible for supporting our HRIS (Workday) to ensure data accuracy, system integrity, and optimal functionality. Conduct regular audits and assessments of HR data to ensure compliance with policies, regulations, and data security standards.
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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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Provides ad-hoc programming support to Clinical Operations, Data Management, Statistical Programming, Biostatistics, Drug Safety, Clinical Science, Medical Writing and Drug Safety to ensure rapid access to clinical study data for data cleaning/validation, SAS listings review, TLF, dry runs, etc.
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Programming, SOLIDWORKS, FPGA programming, digital design, digital signal processing, image processing, data analysis, RF design, or structural analysis. Job Description The group seeks a Student Technical Assistant to work with our engineering staff on advanced concept demonstrations in the areas of data analysis, algorithm development, software development, digital signal processing, hardware design, and flight test support.
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Employ CBA data visualization and editing tools to aid in the efficiency of gap analysis in CBA development, generating Joint Capabilities Integration and Development Systems (JCIDS) products, and provide a persistent data model that will reduce the need to re-create data across multiple program documents, and will feed requirements documentation, allocation, and tracking tools such as Dynamic Object-Oriented Requirements System (DOORS.
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G OAuth2 Application experience of CI/CD implementations using git and a common CI/CD stack (e.g., Jenkins, CircleCI, GitLab, Azure DevOps) Experience with modern software development tools / ways of working (e.g. git/GitHub, DevOps tools, metrics / monitoring, ) Experience in agile software development and common environments such as Jira and Confluence Knowledge of database modelling, database concepts and SQL Experience with data visualization frameworks like D3.
$153,000 - $207,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward:Building a next-generation data experience for GSK’s scientists, engineers, and decision-makers, increasing productivity, and reducing time spent on “data mechanics.
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Strong background in using HR data and HRIS products desired and experience producing analytics containing sensitive information and high levels of accuracyExpert level in ExcelExperience with Business Intelligence tools, i.e. Tableau, Domo, etc.
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data job Title: architect Company: Usaa in Lexington, MA
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