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Experience in the management of on-premises Data forwarders and their connections. Preferred Area of Experience: Microsoft 365, Power Platform (PowerApps, Power Automate, Power Pages, Dataverse, Power Virtual Agents/Microsoft CoPilot), Fabric (Power Bi, OneLake, Factory, Synapse Data Warehouse, Synapse Data Engineering, Synapse Real-Time Analytics), SharePoint, Windows Server, Azure, DevOps, CI/CD Pipelines.
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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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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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We partner with our clients on advisory and strategy services and complete technical implementation capabilities focusing on data governance, change management, data intelligence, cloud and security, data engineering, visualization, and data science.
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Ensure archival and inspection readiness of all Data Management Trial Master (TMF) documents. Responsible for performing data management oversight activities in support of Leap Clinical Studies by overseeing the activities of the CRO DMs, from study start-up through to study closeout, to ensure adherence to scope of work and service agreements, and that the deliverables are on time, within budget and are of a high quality.
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Experience working with multiple financial services data sources/data source systems and awareness of data management and data integration principles. Leading a team of technical professionals to perform data validation as part of a larger model risk management team.
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Our Performance Improvement services include Finance Transformation, Financial Planning & Analysis, Integration & Carve Out Services, Shared Services Optimization, Operations & Supply Chain, Program & Change Management, and Profit Enhancement.
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Additional experience with Pyspark, AWS S3, Lambda, EC2/AZ, Data bricks, Machine learning (ML), GenAI/ Computer Vision, Theory of Probability, GitLab, R Programming, GCP & Airflow will be preferred.
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We are seeking a highly motivated and capable Data Scientist to support Tempus NEXT, an AI-enabled care pathway intelligence platform that applies technology, data, and AI to enable precision medicine, empowering providers to tailor the next step in a patient’s care journey and foster value based care within health systems.
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The position requires a high degree of flexibility, independence and willingness to participate in multiple activities and provide support to all members of the Case Management Department. Assesses, via electronic systems, patient’s insurance plans and benefits, such as MassHealth eligibility and Medicare benefits and facilitates coordination with Patient Financial ServicesPrepares, explains to patients, and documents delivery of the Medicare Important Message and Medicare Outpatient Observation Notice.
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Coordinate with data management study leads, clinical operations, internal stakeholders and external vendors to map non-EDC data from collection through analysis. Experience working in an outsourced data management model preferred.
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Data Management: Maintain accurate records and data on community engagement activities, program outcomes, and client interactions, utilizing this information to inform decision-making and continuous improvement efforts.
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Acts as a liaison between members of the inpatient care team and outpatient management team, including heart transplant nurse practitioners. Data Activities: Collects demographic and clinical data from hospital computer system, administrative sources, charts and weekly conferences and enters data into heart transplant databases as needed, including the United Network for Organ Sharing (UNOS) system.
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Leading the configuration of OneStream including but not limited to : Workflows, Data Sources, Transformation Rules, Business Rules and Calculations, Dashboards, Data Management Sequences, Cube / Master Data, System Security.
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You will also work with scientists and with experts in data management, lab automation, molecular design, and machine learning in the Global Biologics organization to build and continuously improve data infrastructure.
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data management jobs Title: financial engineer in Watertown, MA
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