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Provide QA/QC, plans and implements defect tracking and management for complex coding and data projects, and ensures project adherence to quality standards and data management principals.
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Axle is seeking a Data Scientist - Data Quality to join our vibrant team at the National Institutes of Health (NIH) supporting the National Center for Advancing Translational Sciences (NCATS) located in Rockville, MD.
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As ABSC’s next TS/SCI-cleared Data Scientist, you will play a critical role in the design, engineering, development, deployment, and use of software for the 10-year DOMEX Technology Platform (DTP) contract, where we support our client’s mission to centralize and standardize Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the Department of Defense (DoD) and Intelligence Community (IC) enterprise.
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Advance experience with metadata management, data Ingestion, data management, data quality, and data lineage services and technologies. Design and implement data quality and data lineage solutions.
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Axle is seeking a Data Engineering - Data Quality to join our vibrant team at the National Institutes of Health (NIH) supporting the located in Rockville, MD. We are looking for a skilled and motivated Data Quality expert to lead the development of Real World Data (RWD) assets to support projects at the NIH. The position will be based at Axle in Bethesda, Maryland, but functionally remote from US locations, with occasional travel annually.
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As a Quality Assurance Analyst, you will play a valuable part in supporting the NCSC's mission to integrate quality program wide protecting NOAA networks, computers, programs and data from cyber-attack damage and unauthorized access.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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Experience on Data pipelines and workflow management tools ( Airflow) Cloud-based solutions (e.g. AWS Google Cloud). Develop Data Pipelines using Java/Scala and Apache Beam Dataflow to move data or transform data.
$110,400 - $148,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Lead meetings with clinical reviewers and statistical reviewers to present results from data quality assessments and standard safety data analyses. Provide written reports regarding assessment of safety data sufficiency, integrity, and quality to clinical review teams.
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Proficiency in quantitative and qualitative research methods, data analysis, and statistical software (e.g., SAS, SPSS, STATA, NVivo). Develop and test data collection tools, including surveys, interviews, and focus group guides, to gather relevant information from stakeholders.
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Lead the development of the protocol and related documents and the development and delivery of the clinical study report to meet GCP, ICH and all AstraZeneca quality standards. As such, you will provide scientific input into design & implementation of clinical trials, their delivery, clinical data review and data cleaning, interpretation of results, reporting successfully on time, and activities required for worldwide registration of the product (i.e. clinical input to NDA/BLA.
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GAI's team members work side by side with government IT executives and OEM partners to solve complex business problems such as AI/ML, RPA, Cyber Security, Big Data, Data Center & Cloud. GAI is a Federal government IT partner that focuses on Artificial Intelligence, Big Data Analytics, Cloud Computing, and Cyber Security.
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Human Resource Data Analyst II: The Human Resource (HR) Data Analyst will collect, compile, and analyze HR data, metrics, and statistics, and apply this data to make recommendations related to recruitment, retention, and legal compliance.
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Ability to evaluate data quality, troubleshoot, and interpret experimental results. Assist in the preparation and review of bioanalytical data and reports suitable for regulatory submission.
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6+ years of experience in data science, analytics or quantitative intelligence analysis/digital forensics, and demonstrating progressive technical development and outcomes. Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, digital forensic experts, network engineers, senior investigators, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations.
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data quality jobs Title: data specialist Company: Appleone in Rockville, MD
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