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A Medical Laboratory Scientist performs test procedures in a clinical laboratory and conveys the results to the physician or designee in an accurate and timely manner for the purpose of patient diagnosis and treatmentResponsibilities:Technical responsibilities:Performs all aspects of pre-analytic workflow appropriate for the specific laboratory section to ensure orders are entered correctly, specimens collected are appropriate for the test ordered and are correctly processed/transported.
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If you subscribe to our philosophy that Better Data Saves Lives™, we hope you’ll join our talented and growing team of cancer registry pros in pursuit of improved patient care. Our oncology program is the market leader in clinical data management, powered by a tight-knit team of data geniuses, problem solvers, tech enthusiasts, and brilliant quality experts.
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Strong expertise in Azure services, including Azure Data Factory, Azure Databricks, Azure SQL Data Warehouse, and Azure Synapse Analytics. Utilize Azure services such as Azure Data Factory, Azure Databricks, Azure SQL Data Warehouse, Azure Synapse Analytics, and more to build robust data solutions.
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The Data Center Manager will be responsible for the day-to-day operations, coordination, and management of various data center facilities. We are seeking a talented and experienced Data Center Manager to oversee our data center operations in an assigned region.
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With the support of our software, Atlas, the Clinical Data Abstractor identifies and validates specific information abstracted and reported from various reports, medical records and electronic files.
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Job description Infosys is seeking an Azure Databricks Cloud Data Architect. Good experience in end-to-end implementation of data warehouse and data martsExperience and detailed knowledge with ETL, Data Quality, metadata management, Data Engineering, streaming data loadsExperience designing and implementing complex solutions for distributed systemsExperience in leading and mentoring teams in onshore-offshore model.
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Lead by example in data engineering practices, demonstrating expertise in a variety of technologies, including but not limited to Python, Scala, Apache Spark, SQL, Hadoop, Kafka, Airflow, vector databases, and other relevant technologies in the data engineering domain.
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Partner closely with the Data Science and Machine Learning Engineering teams to understand needs and deliver solutions. Design, implement, and maintain data pipelines and data management solutions to support graph and data science efforts, ensuring that solutions are scalable, secure, reliable, and compliant and that data is clean, reliable, and timely.
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Operations & Technology Transformation Senior Consultant, Guidewire Data Migration - ETL Developer. We implement innovative technology solutions spanning core, digital, data, analytics, cloud and AI.
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Write detailed client facing ESA and PCA reports including the preparation of accurate data/summary tables and/or figures. 2+ years of professional experience in an environment scientist role conducting ASTM Phase I assessments and Property Condition Assessments.
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Identify opportunities to leverage technology to improve ability to compile, analyze, and report item creation and data (e.g. smartsheet, access, excel, JDE, Cantor, AQ, etc.) Implement data governance processes for item master data maintenance.
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A prestigious national litigation firm with over 200 attorneys is seeking a Class Action Data Privacy Attorney to join their Chicago office. Experience in class action, cybersecurity and data privacy litigation, including BIPA litigation preferred.
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Preferred experience in building data analytics solutions using Google Cloud Platform services such as Google BigQuery, Cloud Storage, Dataflow, DataProc, Pub/Sub, Cloud Composer, or DataPrep. Participates in the building of large-scale data processing systems and data lakes, optimized for both computational and storage efficiency on Google Cloud Platform.
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An entrepreneurial and meticulous Senior Data Engineering / Machine Learning Ops Manager who oversees the development of data for measurement and reporting across United’s digital media.
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Experience with data visualization tools such as Tableau or Power BI Experience with Agile methodology, JIRA, and Github Team player with excellent verbal and written communication B.S. (or graduate degree preferred) in Data Science, Computer Science, Mathematics, or a related field.
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Title: data scientist Company: Ancestry in Chicago, IL
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