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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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The MassHealth Systems Teams unit seeks a highly motivated individual as a Quality Assurance Tester to join its Data Warehouse Systems Quality Assurance (SQA) team. Experience with data quality and remediation, data flows and mapping, or comparable experience (system or Data conversions, for example.
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Skills: Deep understanding of GCP services including BigQuery, Dataflow, Pub/Sub, Cloud Storage, and IAM. Proficiency in data modeling, ETL processes, and data warehousing. Proficient in SQL, Python, and data visualization tools like Looker or Power BI.
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The postdoc (or research associate) will also collaborate with others in the lab who are generating novel data for comparative genomics (whole-genome sequences, RNAseq transcriptome data, Illumina, 454, PacBio), and work to aggregate and extract plant tissue samples to construct high quality genomic DNA for cryogenic preservation, sequencing, and analysis.
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Tracks emerging study data and works closely with data science team to ensure the effectiveness of tools and data quality. Develops, Implements and Conduct data quality checks as needed for work/studies.
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Develops and contributes to the development of operational plans to ensure data quality and completeness. o Electronic data captures (EDC) solutions, e.g., REDCap, Encapsia, Oracle Clinical, Medidata Rave.
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Data Integrity Monitoring Monitor data integrity and compliance with state and federal requirements; Correct data discrepancies as necessary; Conduct regular data audits and reviews to ensure accuracy and compliance; Implement data quality improvement initiatives.
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Certification in pharmacovigilance (e.g., RQAP-GLP, PVQA) or quality management (e.g., ASQ Certified Quality Auditor) is a plus. Minimum of 6 years of experience in drug safety/pharmacovigilance quality assurance or compliance within the pharmaceutical or biotech industry.
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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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Experience (EMEAA):Five or more years of experience in leading master data governance initiatives in material management, transportation management, and distribution centre/warehouse management Good understanding of Business Systems – SAP, Coupa, POE/OMS, Salesforce, Steriworks, Omnitracs RoadNet, Descartes or similar Transportation Management Systems (TMS) Foundational understanding of Product, Services, Supplies etc.
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Ability to multitask at times, and extremely strong attention to detail when it comes to data quality. You will also get to analyze or support teammates in analyzing biochemical and molecular data from a range of other bioanalytical assays, such as: spectroscopy, protein purification, antibody conjugation, DNA modification, and fluorescent labeling.
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Center 1 (19052), United States of America, McLean, VirginiaCurrent Master's - Data Science Internship - Summer 2025Key Role DetailsThis is a full-time paid internship program spanning ten weeks from June through August 2025.
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Oversee quality assurance activities to ensure the integrity, accuracy, and compliance of clinical trial data within Veeva Vault applications, in accordance with regulatory requirements (e.g., FDA guidelines, GCP standards.
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Finally, you will collaborate closely with a cross-disciplinary team of scientists and researchers to design, conduct, and analyze experiments aimed at providing 'Proof-of Concept' data that demonstrate the therapeutic potential of viral proteins in diverse in vitro and in vivo disease models.
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We are seeking a collaborative bioinformatics and machine learning scientist to join the Computational Design and Predictive Modeling team in Cambridge, MA. You will develop novel bioinformatics and machine learning solutions and apply them to next-generation sequencing (NGS) data to discover and characterize biotherapeutics.
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data quality plus jobs Company: Equiliem in Boston, MA
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