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7+ years of data engineering experience, at peer firms utilizing agile methods and modern SDLC processes to deliver quality technological solutions in a transparent, reliable way. Provide data stewardship to other team members and to Data Operations as they review datasets for completeness and quality.
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Manage relationship with contract testing lab - monitor business and quality KPIs and drive continuous improvement projects. Interact with internal cross-functional teams, including Analytical Development, CMC, Supply Management, Regulatory Affairs, Program Management and Quality Assurance, as well as with Alpine's/Vertex network of external CMOs/contract labs to support company's clinical programs.
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Support data review of cell therapies, AAV products, and Critical Components. Experience in data review, organization, and analysis using statistical software. They will actively collaborate with research, process development, quality teams, regulatory and CDMOs to ensure a compliant stability program in addition to providing Quality Control support to ongoing CRISPR Tx programs.
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Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
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Apply your topical knowledge and experience in one or more of the following: Quality, Risk Adjustment, Provider Data, Healthcare Data Interoperability, Value-based Care, Population Health, and/or Clinical Operations/Medical Cost Management to drive data solutions product innovation.
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The Health Policy & Equity Section research combines the use of real-world data with advanced statistical, econometric, and epidemiological methods to answer questions related to healthcare access, quality and value, and population health, with a focus on cardiovascular outcomes.
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Collaborate with research, clinical, and bioinformatics scientists to execute projects that translate scientific and clinical questions into analytical workflows, and exercise skill in delivering accurate data processing, quality control, and statistical analysis.
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What you will be responsible forDevelop/ Build and enhance data pipelines using Python, Spark based data engineering solutions (Databricks), and SQL (AWS Redshift). Hands on development in Python, PL/SQL, SQL, Shell Scripting, AutoSys. Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
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Assist the team that will document, maintain, and tune AML transaction monitoring rules, sanctions screening systems, and risk scoring models as well as detailing data lineage and model/rule assumptions and parameters for all models.
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Ability to apply statistical and machine learning techniques to large clinical variables and OMIC data setsExperience in Programming with R, Python, MATLAB, and/or Java that focus on computational biological applications for clinical dataPrepare detailed quality control report workflows for evaluation by principal investigators and other staff members.
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CBRE is looking for a Data Center Hydraulic Modeler to support the client’s data center construction program within the Execution Engineering (ExE) team as a hydraulic modeler! Capture and validate data for model input, including topography, pipe networks, pump curves, valve and heat exchanger curves, and operational parameters.
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Acts as central steward of data quality, monitors risks through the holistic review of clinical and operational data, using detailed knowledge of the protocol, considering the specific therapeutic area aspects of the protocol related to the data collected and aligning with cross functional operational plans to drive comprehensive data science modeling tasks.
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The Quality Control Inspector will perform Required Inspection Items (RII) work in Lieu of the Chief Inspector, as well as Boroscope Inspections, Non-Destructive Testing (NDT) Inspections and other duties assigned.
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Job Description : POSITION OVERVIEW: The MassHealth Systems Teams unit seeks a highly motivated individual as a Data Warehouse Snowflake Migration Tester to join its Systems Quality Assurance (SQA) team.
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Cloud Data Platforms (AWS, Azure, Google Platform, Databricks, Snowflake) Data integration Tools (Informatica, Talend, etc.) Experience with data pipeline and workflow management tools (Airflow, etc.
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data quality jobs Title: monitor in Boston, NH, Virginia
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