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Oversee the development and testing of clinical databases and data cleaning procedures, utilizing Medidata Rave/Veeva, and enforce data integrity through comprehensive documentation and quality control.
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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.
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Serve as a leader within the QC group and as a knowledge resource (data review, electronic review, data integrity, GDP) within the company. QC Testing data review of products, raw materials, stability lots.
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Experience working with EDC and/or biomarker data from clinical trials. Support data management and integration of translationally focused preclinical and clinical datasets (e.g. Nanostring, NGS.
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Function as a rebate data subject matter expert processing Commercial, Medicare Advantage and Medicare Part B invoices, Provider, Group Purchasing Organization and value-based data reports and invoices in alignment with established systems, financial reconciliation, and processes to confirm intended payment of the invoice and produce accurate and timely rebate payments and reports.
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We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. Sr Lead Data Platform Engineer, Shopping (Remote-Eligible) Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Cloud One is an existing global, interconnected, virtualized, hybrid, and IT infrastructure hosting mission systems, applications, services, and data serves the U.S. Air Force (USAF) and other Government Customers.
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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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Has experience with flight and mission planning tools such as CSDB, JMPS, PFPS, Falcon View, XPlan, JADOCS, and/or IMOM with Intelligence Mission Data (IMD) Contract Data Requirements Lists (CDRLs) designed to govern FMS weapon systems procurement, as well as provide system and platform information (including IT systems/ equipment) to support a specific FMS program or program justification.
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We are looking for an experienced Master Data Management (MDM) Platform Engineer who will be responsible for the end-to-end management of our Master Data Management platform, leveraging Profisee software hosted on the Azure cloud.
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Participate in integrated logistics support efforts, provisioning and source coding, maintenance data collection, technical order management, configuration management, evaluation of quality deficiency reports, and/or identification of alternate sources of supply for diminishing manufacturing/materiel sources preferred.
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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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Your toolkit should include a solid foundation in analytics, adeptness with Tableau, and familiarity with the contemporary data ecosystem (including tools like dbt, Snowflake, and SQL). The Business Intelligence Analyst is an experienced Tableau operator with three years of solid corporate analytics experience, adept at transforming complex data into digestible business insights and visualizations that guide strategic decision-making and KPI management.
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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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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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data job Company: Simplyapply in Lexington, MA
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