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As an Associate Director, Data Science in Translational Proteomics, you will be part of the Translational Medicine and Cancer Biomarker Development team, responsible for the biomarker strategy and implementation.
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This includes performing analytical methods, data review and trending, and implementation of GMP operational support systems ensuring a compliant Quality Control lab. Position Responsibilities: Perform cGMP analytical testing (bioassay, flow cytometry, qPCR, ELISA, and UPLC) Review and evaluate raw data from a peer or technical review level of all analytical methods, as well as sample authorization.
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Developing test automation and enabling DevOps through continuous testing Working knowledge of AWS based data sources such as Aurora Postgres, Redshift, Athena, AWS Glue, DMS Services to deliver strong Quality solutions An Agile mindset with experience working in Agile environment.
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Data Infrastructure and Technology: Collaborate with data engineering and ML Ops teams to establish and maintain robust data infrastructure, ensuring data quality, accessibility, and security.
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In general, the day-to-day activities of a lead data analyst may include the following:Responsibilities: Collaborate with data engineering teams to build and improve on the availability, integrity, accuracy, and reliability of data logging and data pipelinesEnsure data quality and consistency through effective data cleansing, transformation, and validation processes.
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Work closely with data warehouse engineers to enhance data quality and resolve data integration issues. We are seeking a skilled Power BI Developer - Finance with a strong background in data/financial analysis and accounting to lead the development of advanced reporting and visualization tools within our IT department.
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Occasionally, the Complaint Specialist will be involved in specific CAPA's related to selected complaints to provide additional data during CAPA investigations and analysis. The Complaint Specialist is a technical position that is responsible for receiving, reviewing, and documenting customer complaints of Cryoport's products according to current Quality Management System requirements.
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Preferred Certified Quality Technician, Certified Quality Auditor (CQA or WI Cert.), Certified Quality Engineer, Lean, 6 Sigma Certification Desired but not required. Advanced knowledge of internal audit methodologies related to various quality systems.
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In this role, you will construct data analytical infrastructure, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis. Axient is seeking a Mid-Level Data Engineer to join our analytics team in Huntsville Alabama.
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Prepare periodic and special reports concerning quality control and results of laboratory tests; prepare analytical results reports to relay qualitative and quantitative data; submit to manager of quality.
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Institutional Research focuses on providing decision support in areas related to planning, policy development, and institutional effectiveness, among other and generally addresses mandated reporting, data and research requests, and external surveys.
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MTSI is seeking a full a mid-level data scientist with a TS/SCI clearance to provide support to a Government Office at WPAFB, Ohio. The Data Analyst’s primary focus will be to provide data analysis expertise during the design, development, and use of a complex data platform that seeks to aggregate data from multiple sources, with varying quality and contexts, drawing useful conclusions to answer key customer questions.
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What you’ll be doing:As a senior business solution architect (BSA) for master data management (MDM) & data quality management (DQM) focused on end-to-end engineering & manufacturing (Engg. & Mfg.) and product lifecycle management (PLM) processes, you will play a critical role in enabling data architecture and governance to help drive standardized and sustainable enterprise data footprint.
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Support NGA in developing or reviewing TRD training materials, geospatial production workflows using ArcGIS Defense Solutions, and data quality assurance procedures, including the use of Geospatial Analysis Integrity Tool (GAIT), to evaluate co-produced data.
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Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets. Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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data quality jobs Title: enterprise data architect Company: The Judge Group
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