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Work closely with our lab team to develop, execute and maintain custom pipelines for data processing and quality control (QC) for biomarker data such as flow cytometry, cell-based assays (e.g. MSD portfolio), next-generation sequencing, gene expression, IHC and similar.
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In addition to being a hands-on developer with experience in business intelligence, analytics, data science, and data products, the ideal candidate will have strong command of the principles of large-scale database development, data modeling, data mapping, data testing, data quality, and documentation preparation.
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Master's degree in Economics, Health Care Policy, Actuarial Science, Mathematics, Statistics, Data Science, Finance, Operations Research, or a related quantitative field with at least 3 years of relevant work experience; or a Bachelor's degree in those same fields with at least 5 years of relevant experience.
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Your expertise in data science, statistical modeling, and machine learning will be critical in developing and executing strategies that optimize data collection and streamline recommendations for our customer.
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ASG provides a broad range of technology related services such as software development and integration, mobile apps, AI/ML, Analytics, Data Science, Bigdata, DevSecOps, Digital transformation, cloud, and cybersecurity.
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Provides leadership and direction of the data management strategy within the enterprise and ensures a data management strategy specific to their function is implemented effectively, yields high degree of data quality and ensures client data protection through a robust data governance program and appropriate security controls without constricting flow of business activities.
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Our high-performing team works with clients to implement the full spectrum of data analytics and data science, ranging from data architecture design, data engineering and querying, data visualization and dashboarding, predictive analytics, machine learning, and artificial intelligence.
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Work internally within KPMG's other areas within Tax, Audit and Advisory to advance the client understanding of Data Science, Artificial Intelligence, and Advanced Analytics; Work very closely with emerging technologies group within AI service providers (e.g., AWS, GCP, Azure) to provide a first-in-market solution approaches to complex business problems.
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6 years of experience in healthcare, partnering with staff at all levels working with Electronic Health Records, clinical data bases, quality, outcome and cost data. Clinical Discipline includes, Nursing, Infection Prevention, Respiratory, Pharmacy, Quality or Foreign Medical Graduate or an equivalent combination of education and experience.
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Certified Tumor Registrar, Part Time, Monday – Friday, 10 am- 230pm, no weekends Purpose of Job This job aims to have a HUH-employed CTR to perform all cancer registry data abstracts, follow-ups, and cancer quality data reporting, cover tumor board conferences, and perform case findings from various EMR sources to support our cancer program’s initiatives.
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Demonstrated subject matter expertise in one or more technical fields relevant to Enterprise Data Management, such as Databases, Data Engineering, Data Science, Data Mesh, Data Fabric, Feature Engineering, Data Quality, Data Governance and Metadata Management, Data Catalogs, and Data Privacy and Security.
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Conducting research and benchmarking to provide context and best practices for HR data analysis and interpretationCollaborating with HR and business partners to understand their data needs and provide solutions that support their goals and initiativesEnsuring data quality, accuracy, and compliance with data governance and privacy standards Requirements:Education: A bachelor’s degree or higher in human resources, statistics, data science, business, or equivalent related experience.
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Implement data architecture initiatives on data quality, data governance, data standards, and data policies across all core business functions to ensure consistency in data definitions and data usage Apply knowledge of reference models to data architecture design and maintain alignment with standards and best practices for ontology representation.
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A working knowledge and understanding of the following concepts Data Management, Enterprise Data Management (EDM), Data Science, Data Strategy, Data Governance, Data Quality, Data Cleaning, Data Validation; apply and demonstrate proficiency in Extract, Transform, and Load (ETL) Processing, Data Collection, and Requirement Gathering; and will demonstrate proficiency in analytics software (e.g., Business Intelligence, Tableau, Esri, Microsoft Power BI.
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Responsible for guiding statistical analysis plans, programming, and data quality checks to project junior team members generating and reporting real-world evidence about disease, health service utilization and the effects of medical products through the analysis of healthcare data.
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data quality science jobs in Arlington, VA
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