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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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Apply Environmental Sequence Stratigraphic (ESS) methodology to complex data sets consisting of lithologic borings, down hole, and surficial geophysical data (including but not limited to Nuclear Magnetic Resonance, Gamma and e-logs, Electrical Conductivity/Hydraulic Profiling Tool, Seismic, and ground penetrating radar.
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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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Prepare, test, and implement post-production changes as per study needs while ensuring data integrity. The EDC Engineer will understand Clinical Data Acquisition Standards Harmonization (CDASH) and Study Data Tabulation Model (SDTM) standards and concepts while considering EDC platform best practices.
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Center 1 (19052), United States of America, McLean, VirginiaCurrent Master's - Data Science Internship - Summer 2025Key Role DetailsThis is a full-time paid internship program spanning ten weeks from June through August 2025.
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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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Reporting to the Manager, Finance Systems, the Lead Analyst, Systems Maintenance is responsible for supporting all areas of the financial systems with a specific focus on the SAP ECC FICO code block, master data and system processes, supporting the National Grid Finance organization as a whole.
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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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Highly experienced with state-of-the-art quantitative proteomics workflows from untargeted (DDA and DIA), and targeted (SRM/PRM) data acquisition to analysis to interpretation. Demonstrated ability in using and evaluating data from proteomics software such as spectronaut, proteome discoverer, DINN, skyline, MaxQuant 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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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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Top must-have skills: Minimum 8 years of related experience Data Mesh, domain-driven design Data, Object modeling Database/Data warehouse - AWS RDS, Snowflake, AWS Redshift Nice-to-have skills: Previous biotech/ pharma experience Master Data Management and Governance Big Data, Data Analytics TOGAF, Architectural frameworks (TOGAF is an architectural framework like ZACHMAN, UAM, others) Share.
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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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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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NGS data, and assembling maps with typical genome/vector software (SnapGene, Genious Prime, ect. Use of scientific databases and applications for data management and analysis (Microsoft Office 365, GraphPad Prism, SoftMax Pro, FlowJo.
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apptio data jobs Title: financial in Lexington, MA
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