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Under the direction of the Cancer Center Coordinator and/or Administrator, the Certified Tumor Registrar performs data management and analysis in the Cancer Registry in accordance with Lahey Clinic Medical Center policy and procedures, American College of Surgeons (ACoS) program requirements, Massachusetts Department of Public Health State Cancer Registry requirements.
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Work closely with scientists within the in-vivo pharmacology group to verify in-vivo and Pharmacodynamic (qPCR) data. " Work closely with scientists within the ADME group to verify bioanalytical data generated using HPLC-FD and LC-MS/MS.
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Extensive experience in data visualization tools such as Tableau, Spotfire, Power BI. Defining and delivering reporting content for use in managing clinical trial conduct in collaboration with other Clinical Operations and Clinical Data Management roles, Medical Monitors, Translational Medicine, Clinical Pharmacology, Biostatistics, and other internal and external stakeholders.
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Remote Data Modeling needs 3 years of relevant UAS, GIS, modeling, application design, or other quantitative industry experience. Experience transferring data from 3D modeling software or comparable relevant projects required.
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Essential Experience & Job Requirements 5+ years of IT experience with major focus on data warehouse/database related projects Must have exposure to technologies such as dbt, Apache Airflow, Snowflake.
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By leveraging a blend of scientific, problem-solving, and quantitative skills, we provide superior data insights that empower Novo Nordisk to further develop and deliver life-changing products.
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Track and summarize experimental data to support data-driven decision-making for assay development and process optimization. Apply your laboratory skills and experience to generate high quality data in support of a diversity of projects, which will include both immunoassay development and validation as well as testing and analysis of clinical samples using commercial kits.
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Advanced degree (MA/MS/PhD) in applied mathematics, statistics, data science, economics, I/O Psychology, or related quantitative field. As a member of the Global People Analytics and Experience (GPA&E) Team, the Senior Manager will lead a small team of data scientists and analysts in executing advanced analytics and strategic workforce planning (SWP) projects and processes.
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Develops, designs, and leads training sessions for various groups on HR data & analytics tools and processes. Leverages expertise in data visualization to build dashboards and reports that facilitate quick and easy interpretation of the data and identification of key insights.
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Experience with elements of data integrity covering all areas in a pharmaceutical manufacturing environment, including production and QC laboratories, is also crucial, as well as being skilled in quality investigations, root cause analysis, audit reporting and benchmark sharing with a commitment towards quality improvement.
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Apply a variety of spatial data science techniques to tackle customer challenges to include geospatial statistics, spatial optimization, spatial pattern analysis, geospatial artificial intelligence, spatial autocorrelation, activity-based intelligence, imagery analysis, remote sensing, and geospatial data visualization approaches.
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Design and develop data capturing tools: Electronic Data Capture (EDC) Systems (Eg: iMedidata Rave and IBM Clinical) eCOA, IRT; Manage electronic Trial Master File (eTMF) QC review eg: Veeva Vault; Lead the Audit and Inspection/Submission Readiness activities like documentation of QC and preparing Storyboards (Eg: FDA/EMA Submissions.
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We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients. Collaborate with implementation engineers to apply IAM technologies and principles across the enterprise.
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The Vice President, Global Medical Safety will be responsible for providing medical oversight for the global drug safety and pharmacovigilance function to ensure proactive and timely benefit-risk assessments of all safety data.
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Architect and develop large-scale, distributed data processing pipelines using technologies like Apache Spark, Apache Beam, and Apache Airflow for orchestration. Proven expertise in Apache Spark, Apache Beam, and Airflow, with a deep understanding of distributed computing and data processing frameworks.
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data job Title: enterprise data architect Company: Cognizant in Bedford, MA
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