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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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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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Support data review of cell therapies, AAV products, and Critical Components. Experience in data review, organization, and analysis using statistical software. They will actively collaborate with research, process development, quality teams, regulatory and CDMOs to ensure a compliant stability program in addition to providing Quality Control support to ongoing CRISPR Tx programs.
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PhaseForward Inform, Oracle Clinical and/or other clinical data management software desirable;General software skills: MS Access, MS Word, MS Excel, MS Project, Visio, familiarity with medical coding dictionaries, especially MedDRA and WHODRUG.Experience applying best practices in clinical data management programming in the clinical trial environment, including requirements definition and QC plansKnowledge of GCP and other regulations.
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The Scientist, Analytical Development & Quality Control is responsible for analytical development, feasibility, method qualification, routine, and stability testing of antibody drug conjugates and intermediates.
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Experience operating an Illumina MiSeq and Oxford Nanopore GridIon and interpreting data quality. In this role, the candidate will use their experience in NGS technologies (library prep, quality control, sequencing hardware) to drive the successful translation of this technology into the clinic.
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We are seeking a Data Science Associate to join the Digital Asset Management business and report directly to the VP, Data Science. Proficiency in complex data extraction or processing using Python, SQL, Snowflake.
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Experience with at least one Data Integration tool on the level of Dell Boomi, DataStage, or Informatica. The University IT Services (UITS) Enterprise Data and Analytics (EDA) team is responsible for developing and managing shared services in the area of data and analytics for the entire UMass university system.
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Focus on software development life cycle, you will collaborate with our Head of Technology Strategy, Head of Data, Solution Architects, Data Analysts, Data Team, and Portfolio Delivery function Leads to understand customer and technical needs to design and implement the Global Investment data platform, including Persistence, Integration and Services layers of the business solutions in compliance with architecture principles and standards followed by MMC technology.
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Responsible for advancing our data engineering capabilities, ensuring data quality, and contributing to the success of data-driven initiatives. Expert in Azure cloud computing, specializing in Azure data engineering stacks like ADF (Azure Data Factory), ADLS, Event Hubs, Snowflake, Databricks, streaming, Azure PowerShell, and Log Analytics.
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Provides trouble resolution and serves as a point of technical escalation on complex issues related to data ingestion and data quality; drives ownership and timely remediation of issues identified in Prisma Cloud.
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Drive the adoption of best practices for data quality and integrity. Understanding of nucleic acids DNA/RNA analytical performance assessment tools: PCR, Cloning/plasmid generation and design, Quality control on DNA/RNA (capillary electrophoresis, UV quantification, Sanger sequencing, NGS.
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Our athenaGives platform strives to support food security, expand access to high-quality healthcare for all, and support STEM education to develop providers and technologists who will provide access to high-quality healthcare for all in the future.
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Experience with statistical data analysis using R or JMP, monitoring data quality and troubleshooting technical problems. Analyze workflows, identify bottlenecks, develop solutions and lead teams in solution implementation that improves efficiency, throughput, cost, and quality.
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We are seeking a candidate with a background in bioinformatics, computational biology, biostatistics, or related field with experience analyzing large genomic and transcriptomic (bulk and single-cell) next-generation sequencing data, leveraging publicly available data from publication and repositories (GEO, TCGA, Ensemble, etc.
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data quality jobs Company: Change Healthcare in Medford, MA
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