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Utilize expertise in computational biology, machine learning, and bioinformatics to develop and optimize algorithms and models for the analysis of high-dimensional biological data. Expertise in machine learning techniques and their application to biological data.
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Minimum 10 years in a technical role delivering projects in Data Analytics, Machine Learning, Cloud Computing Platforms, and Service-oriented architecture, with a preference for Large Language Model (LLM) technology.
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We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms.
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Coordinating work efforts assigned to the Data Entry, Data Analyst and,Telecommunications Mechanics. o Managers’ Meetingso TSD / Data weekly meetingo TSD National meetingo FPS Regional Conference callso Alarm Monitor / Dispatcher Supervisory meetingso Corporate conference callso New hire selection processo Individual employee meetings.
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Job Description The Clinical Statistical Analyst will work across the Statistical Center for Translational Research in Medicine (SC-TRM) and new Center for AI and Data Science for Integrated Diagnostics (AI2D) to apply statistical and machine learning methods to multi-institutional clinical and biological data to help develop approaches and tools for learning healthcare systems.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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Strong understanding of machine learning algorithms, statistical modeling, and data mining techniques. Stay updated with the latest trends and advancements in data science, machine learning, and AI. Communication & Collaboration: Present findings and insights to non-technical stakeholders in a clear and compelling manner.
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Designs, develops, and implements ETL/ELT processes using Azure Data Factory, Synapse pipelines, Databricks Notebooks, Event Hub to build integrations from Saas sources such as Service Now, Workday, Dynamics CRM, and Eloqua.
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HackerOne is seeking a Staff Data Engineer, DataOne, to lead the discovery, architecture, and development of high-performance, scalable data products and solutions. As a Staff Data Engineer, you'll have the autonomy to lead challenging projects and foster collaboration across the company.
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The candidate will have knowledge of modern data architecture, Cloud architectures, and integration patterns such as RDBMS, Snowflake, Azure Event Architecture, Web Services, Machine Learning and Data Virtualization via federation technologies.
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Minimum of 5 years’ experience in data lake / lakehouse, distributed systems and data, data virtualization, microservices, and machine learning. We are looking for a Lead Data Engineer for our IP Maintenance products and services to spearhead the design and implementation of a simplified data service over a highly distributed data system.
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The Catastrophe Modeling Analyst will be responsible for analyzing and quantifying Chubb's North America Commercial Excess and Surplus exposure to natural catastrophe perils such as Hurricane, Earthquake, Severe Convective Storm, Flood and Wildfires.
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Your ability to work collaboratively will be required as you work closely with the Market Data Technology & Business Analyst teams to ensure the global team strategy is successfully met.
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Shift Sunday through Thursday Essential Functions and Responsibilities Perform daily GMP Quality Control laboratory testing activities at the iCTC facility with minimal to no errors while ensuring testing is completed in compliance with all applicable procedures, standards, and GMP regulations Perform data analysis and final result reporting to support product lot release with adherence to turnaround times.
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Qualifications: The Senior EMR Application Analyst will have strong technical knowledge with major EMR platforms such as Epic, Cerner, Allscripts, or Meditech. The Senior EMR Application Analyst will play a critical role in the implementation, optimization, and ongoing support of our electronic medical records system and clinical ancillary applications.
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machine data analyst jobs Title: engineer Company: Cvs Health in Philadelphia, PA
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