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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. As a Data Warehouse Snowflake Migration Tester, you will be responsible for ensuring the successful migration of data warehouse systems to the Snowflake platform.
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7+ years of data engineering experience, including in senior and team leadership roles, at peer firms utilizing agile methods and modern SDLC processes to deliver quality technological solutions in a transparent, reliable way.
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The Radiologic Technologist/Mammographer is expected to produce high quality Radiographic and mammographic images under the guidance of the Radiology Supervisor. The Radiologic Technologist/Mammographer will also take part in Quality Improvement and Quality Control activities.
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Responsible for Quality & Controls Assurance programs, activities and reviews, including claims reviews; call center and digital communications reviews; Medicare Risk Adjustment, HCC, clinical and coding reviews; DRG and medical records reviews; technology/systems and coding upgrade and implementation reviews (e.g. final user acceptance testing, etc.
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DataAnnotation is committed to creating quality AI. Join our team to help train AI chatbots while gaining the flexibility of remote work and choosing your own schedule. Note: Data Annotation payment is made via PayPal. We will never ask for any money from you.
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We are seeking a rock star Senior Data Scientist to join our Risk Data team within the Ecosystem Fraud Team at Square. Create and maintain ETLs and data pipelines for continuous data integration and analysis.
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As an individual contributor, lead the design and implementation of advanced statistical and data science models across ezCater's growing business. Be the thought leader for elucidating and demonstrating the business opportunities that can be solved with applying advanced Data Science models to ezCater's business.
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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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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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Perform data preprocessing, including data harmonization and aggregation, quality control checks, transformations, and imputations to prepare data for modeling. The core also works closely with other scientific cores to ensure the generation and release of high-quality scientific data.
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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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Familiarity with data standards, semantics, terminologies, ontologies, g., CDISC, OMOP, NCI, MedDRA, MeSH, RxNorm, OBI, LOINC, UBERON, DOID, or others) is a plus. Scientist/Sr. Scientist Data Curator - Life Sciences Full-time remote position Rancho Biosciences is seeking a data curator with a solid foundation in life science for a full-time role with the company.
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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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Familiar with the experimental techniques of pharmacokinetics, pharmacology and toxicology research, including in vivo experiments and the analysis and processing of experimental data; Lead the department/team to participate in the comprehensive in vivo/early in vivo research and development project at all stages of drug development in preclinical stage, and help deliver high-quality drug candidates that can be used in preclinical research.
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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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data quality jobs Company: Deloitte in Boston, ID, France
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