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AbbVie Data Science is the best-in-class team within its cross-industry peer group and is responsible for bringing people, process, and technology together to generate business value from clinical trials data.
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The GRC goal is to develop world class genetics and genomics research focused on finding the right therapeutic targets, helping AbbVie scientists better understand human disease biology, understanding the behavior and response to our drugs in clinical trials, and improving production of our biological drugs.
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Optimize the performance of data storage and retrieval operations to ensure quick and accurate access to omics data. Knowledge of machine learning and data mining techniques for bioinformatics data analysis.
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Headquartered in Charlotte, North Carolina, Advocate Health services nearly 6 million patients and is engaged in hundreds of clinical trials and research studies, with Wake Forest University School of Medicine serving as the academic core of the enterprise.
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The redeveloped campus provides access to primary, specialty and emergency care, as well as a seamless pathway to specialty care from throughout the Northwestern Medicine network, including leading-edge clinical trials.
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Serving on the faculty of Northwestern University Feinberg School of Medicine (FSM), physicians contribute to research and education, as well as provide clinical care. Our patients have access to evidence-based medicine and research that is translated to clinical practice, offering new hope through leading-edge approaches to health, wellness and disease.
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The Senior Manager, Clinical Data and Reporting Standards (CDARS) proactively participates in the development of data and reporting standards in support of AbbVie’s portfolio of clinical trials and ensuring AbbVie’s conformance to CDISC standards and industry best practices.
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Familiarity with data management and visualization tools and collaborating with computational biology to analyze complex data sets emerging from clinical trials. Knowledge of clinical trial methodology, regulatory requirements governing clinical trials, companion diagnostics/in vitro diagnostics, protocol design, and/or experience in development strategy preferred.
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Ensure successful transition of data solutions to Commercial Data Lake operations team. Review and approve data specifications, solution architecture, process flows, and data sharing with client internal Privacy, Compliance & OEC teams.
$120,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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Bachelor of Science (BS) or Arts (BA) college degree or equivalent clinical degree i.e., Registered Cardiovascular Invasive Specialist (RCIS), Certified Cardiology Technician, Registered nurse (RN) or Nurse Practitioner (NP), Transcatheter Cardiovascular Surgical/Scrub technician, Physician Assistant (PA.
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Complete audits to assess accuracy and quality of scientific data submitted to the regulatory agencies in support of in vivo medical devices and in vitro diagnostic devices' application. Plan, conduct, and lead complex clinical study audits (Sponsor, Investigator Sites and Clinical Suppliers) (either remote or on site) in accordance with all applicable regulations, standards, guidance, and the established procedures, maintaining a high standard of service delivery that ensures effective customer relationships.
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Seeking a highly motivated and driven data scientist to join our Quantitative, Translational & ADME Sciences (QTAS) team in North Chicago, IL. The QTAS organization supports the discovery and early clinical pipeline through mechanistically investigating how drug molecules are absorbed, distributed, excreted, metabolized, and transported across the body to predict duration and intensity of exposure and pharmacological action of drug candidates in humans.
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Data Visualization Solutions: MS Power BI, Looker, Tableau, Azure Streaming Analytics, Data Lake Analytics, Azure Time Series Insights, Azure Synapse Analytics. Data Exploration and ETL: Alteryx, Talend, H2O, Informatica, Data Stage, Azure Data explorer, Azure Data Factory.
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8+ years of experience in batch and streaming ETL using Spark, Python, Scala, Snowflake or Databricks for Data Engineering or Machine Learning workloads. You are a thoughtful observer who enjoys investigating business problems and building data solutions that address them.
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Responsible for review and approval of data specifications, solution architecture, process flows and data sharing with client internal Privacy, Compliance & OEC teams. Build competency in and Patient Services data sets such as Rebate Data, EDI Sales & Chargeback Data, Master Data, Copay Data, Medical and Prescription claims data, Care model data etc.
$120,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
clinical trials data jobs Title: operations in North Chicago, IL
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