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Description Clinical Research Coordinator B ResponsibilitiesThis individual will work under general supervisionThe CRC will be responsible for the coordination of complex oncology clinical research protocols, including accurate data collection and overseeing the quality of the clinical trial data and records, scheduling and conducting study initiation and monitoring visits, and participating in ongoing study protocol training.
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The Clinical Research Coordinator A will also be responsible for training new personnel who will be working on clinical trials within the division. The Clinical Research Coordinator A will recruit and screen patients as outlined in research protocols, will coordinate all research visit activities for assigned projects (including processing and shipping blood and urine samples), and will assist in the maintenance of research records in compliance with IRB and HIPAA regulations.
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SUMMARY JOB DESCRIPTIONThe Clinical Informatics Specialist’s primary roles are to provide project management, software support and training for the PHMC Health Network’s clinical systems, electronic medical record (EMR), and other applications.
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8+ years of experience architecting data warehouses such as BigQuery, Redshift, Databricks. Develop ETL batch data pipelines with BigQuery or similar and orchestrate with modern orchestration tools (Airflow, Puppet.
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Experience with pipeline orchestration software (e.g. Airflow, Dagster, Prefect) and data streaming technologies (e.g. airbyte, datastream, artie, fivetran, or your own flavor), especially in a cloud data environment, such as AWS, Azure, or GCP is essential for this role.
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10+ years experience in data engineering with data warehouse technologies. As a member of our data engineering team, you'll be setting standards for data engineering solutions that have organizational impact.
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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. Our team masters exploratory data analysis, advanced reporting, data modeling and visualizations that serve the dual purpose of driving business decision making and delivering fact-based actionable recommendations.
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As the Data Scientist, you will use Google Cloud Platform (GCP) tools and technologies, such as Vertex AI and BigQuery, to build, deploy, and monitor scalable and robust machine learning solutions.
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Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations.
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Experience managing cloud data warehouse such as Google BigQuery, Snowflake, Databricks, or Amazon Redshift. 2024 is a year of incredible change at CodePath and we're looking for the right data engineer to lead the charge on our small, skilled, and growing team in the next phase of our exponential growth and impact as we transform computer science education.
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You have 8+ years of industry experience and proficiency in building distributed data pipelines for both batch and real-time (experience with Databricks, Spark, Hive, Iceberg, Kafka, Snowflake is helpful, but not strictly required.
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Cloud data warehouses: Snowflake, BigQuery, Redshift. Data governance, lineage, security. Architect and develop data pipelines for batch processing, streaming, and event processing.
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We are looking for a Data Engineer to organize and scale our data across the company to drive visibility into performance and strategy across our sales, marketing, product, operations, finance, and engineering efforts.
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
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Knowledge of data governance and security practices specific to Databricks, AWS and Google Cloud, including IAM (Identity and Access Management), encryption, and access control. Knowledge of Databricks and AWS machine learning and AI services, such as Databricks MLFlow and Amazon SageMaker, for leveraging data insights and building intelligent applications.
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clinical trials data jobs Title: operations in Philadelphia, PA
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