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The Director of the Office of Data Quality, plays a pivotal role in supporting Clinical Research for Dana-Farber/Harvard Cancer Center (DF/HCC) and Dana-Farber Cancer Institute. The Director of the Office of Data Quality will also interact closely with other DF/HCC and DFCI offices that support clinical research including: Clinical Trials Research Informatics Office, Office of Human Research Subjects, Clinical Trials Offices from all DF/HCC consortium sites, and DF/HCC Administration.
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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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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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DPS Group is seeking a qualified Senior Quality Assurance Operations professional to perform batch disposition, batch record review, deviation, CAPA and change control support at the Boston, MA client site.
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Familiarity with data governance principles and practices, including metadata management and data quality assurance. Develop and implement scalable data solutions to support a metrics-driven operations model, ensuring adherence to data ownership, quality, accuracy, and timeliness principles.
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Serve as Clinical Data Scientist and Trial Lead for one or more clinical trials assuming responsibility for all CDS activities including selection and application of data acquisition standards, Data Management Plan, selection of quality risk indicators, third party study data due diligence.
$155,900 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Technical Expertise: Perform quality control checks on design data and drawings, manage the asset tag list, and develop visualizations to communicate the value of BIM to stakeholders. Lead Offshore Wind BIM Adoption: Drive the implementation of asset management information systems and data analysis across the offshore wind business unit, fostering a culture of data-driven decision making.
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Data analytics project experience related to one or more of the following: transaction monitoring data analysis and system implementation, development of customer risk rating models, customer segmentation, threshold tuning, customer/account/transaction data modelling, management and quality assessment, model validation, and/or Know-Your-Customer data remediation.
$252,450 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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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 Clinical Data Analyst partners cross functionally to identify risk to data integrity throughout the data flow to drive quality collection for non-EDC data sources (fluid & tissue labs, digital, imaging, wearables) in Dyne's clinical studies.
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By your actions, improve data quality and outcome for the data engineering, analytics and data science users and producers of data. Help administrate and operate our Data Dictionary and Data Quality tool.
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The general requirements of this regulation are written into the responsibilities that will be required of this data analyst, and the specific requirements will be written into the Scope of Services upon hire.
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You are responsible for managing and supervising scientists and associate scientists and participating in histology related activities / experiments in mouse and non-human primate animal models, in addition to assurance of proper experimental conduct to ensure data quality and integrity.
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Master’s degree in data science/bioinformatics/computational biology/machine learning or related field. Support various teams for the processing and interpretation of next-generation sequencing (NGS) data and ensure timely delivery of results.
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Conduct thorough data analysis and preprocessing to ensure data quality and reliability. Job Description: We're seeking a proactive and highly skilled Data Analyst with a background in Computer Science, Data Engineering, or a related field, coupled with expertise in Google Cloud Platform (GCP) and Amazon Web Services (AWS.
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data quality jobs Title: analyst Company: Randstad in Cambridge, MA
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