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The Medical Science Liaison (MSL) is responsible for identifying disease and product related medical needs in a defined geography. The MSL role embodies our medical mission to be recognized as the trusted partner for internal stakeholders and the healthcare community, driving scientific exchange to enhance medical education, data generation, insight generation and patients' access to medicine.
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They are looking to add a Histology or Pathology Supervisor on DAY SHIFT. For consideration, applicants must have his or her Associate's or Bachelor's Degree in clinical laboratory science, biomedical science, medical technology, histology, cytology or in a life/biological science in addition to either ASCP or AMT Certification as a Histotech (HT), Histology Technologist (HTL) or Cytology (CT.
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Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow. Fluent in data exploration and visualization tools such as Looker and Tableau. Bachelor's degree in Analytics, Computer Science, Statistics, Economics, Mathematics, or related field.
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State government/public sector experience on IT Projects in health and human services programs (such as Medicaid, MMIS, claims processing, eligibility, HHS analytics, data warehouse, etc.
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Ability to use AWS, Oracle, SalesForce Sales Cloud, Data Cloud & Marketing Cloud;, Informatica MDM & ETL, and MuleSoft as platforms for Data Services. Experienced in cloud architecture, design, and hands on knowledge of core CRM application, data integration & mastery services such as SalesForce, MuleSoft, Informatica.
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5+ years in data engineering with detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT. Experience with AWS cloud services: EC2, EMR, RDS, Redshift, Modern data platforms, Snowflake, dbt, Fivetran and Airflow.
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A minimum of a Associate of Science in Nursing required. The Critical Care Transport Nurse transports patients from Critical Cares areas (focus on 7th and 8th floors) to the imaging departments, to decrease delays in procedures and keep nursing staff on the floor.
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Experience using cloud-native data warehouse solutions such as Snowflake or Databricks. One source of truth reporting for the company: Develop and execute a comprehensive data definition and reporting strategy to ensure accurate analysis, and utilization of company data from Snowflake.
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Partner with Engineering, data science and product teams to produce automated solutions to fraud TTP’s. Synthesize disparate sets of data from sources such as malware, cyber attack patterns, and closed and open-source intelligence to inform instrumentation and detections.
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Minimum of 7 year’s of experience years of experience in Big Data/Hadoop, database and data warehouse architecture and delivery. You will have an opportunity to work in roles such as Cloud Data Engineer, Data Modeler or Data Architect covering all aspects of Data including Data Management, Data Governance and Data Migration.
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Our experts in public health, performance evaluation, and health operations solve the complex problems faced by civilian and military customers alike by leveraging advanced tools - including digital transformation, artificial intelligence, data analytics, cloud enablement, modeling, and simulation, and more.
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Ongoing assessment of the latest AI/ML technologies, packages, and frameworks within the data science ecosystem. A bachelor's or master's degree in data science, computer science, statistics, or a related field.
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Our College of Nursing offers a Bachelor of Science in Nursing (BSN) degree program at 23 locations and online post-licensure degree programs and certificates including RN to BSN, RN to MSN, a Master of Science in Nursing (MSN) with six Specialty Tracks, and a Doctor of Nursing Practice (DNP.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Build the data pipelines required for the optimal extraction, transformation, integration and loading of raw data from a wide variety of data sources. Lead Data Engineer is responsible for managing and organizing enterprise data and overseeing the technical output of a team of data engineers.
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data science warehouse jobs Company: Confluent in Atlanta, WI, United Kingdom
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