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Bachelor/Advanced degree in Information Management, Engineering, Business Analytics, Data Science, and Operations Management. Our cloud-based platforms - Axtria DataMax, Axtria InsightsMax, Axtria SalesIQ, and Axtria MarketingIQ - enable customers to efficiently manage data, leverage data science to deliver insights for sales and marketing planning and manage end-to-end commercial operations.
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Experience and solid knowledge of Pharmacovigilance specificallyProficiency in one or more of these additional areas is a plus: CMC/Mfg., Clinical development and trial execution, Regulatory, Real-World Data and Real-World Evidence, Cell and Gene Therapy, Medical Device, IVD/CDxExperienced in understanding and interpreting regulatory guidelines and documents.
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Apply Environmental Sequence Stratigraphic (ESS) methodology to complex data sets consisting of lithologic borings, down hole, and surficial geophysical data (including but not limited to Nuclear Magnetic Resonance, Gamma and e-logs, Electrical Conductivity/Hydraulic Profiling Tool, Seismic, and ground penetrating radar.
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Identify and develop use cases, POCs, and demos to demonstrate our capability in end-to-end governance of Life Science data assets, including common internal application data, and 3rd party data.
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Deloitte Risk and Financial Advisory's Financial Services Industry (FSI) Risk, Data and Regulatory professionals help organizations identify the regulatory changes impacting their business and implement effective and efficient processes to manage regulatory, capital, liquidity and interest rate risks, respond to evolving regulatory environments and implement programs, measures, and tools to help clients with a specific focus on risk, data, and regulatory processes.
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Technical Competencies:Sound knowledge and hands-on experience in design and implementation of data engineering pipelines in an Azure cloud environment using: Azure Data Lake Storage Gen2 ADF V2 Databricks Synapse Analytics API DevelopmentProficient use of tools, techniques, and manipulation including Cloud platforms, programming languages, and an understanding of data engineering practices.
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Our data analytics and software platforms support data science, commercial operations, real-world evidence, and cloud information management. Extensive knowledge of various pharmaceutical industry data sources such as: IQVIA (xPonent, xPonent PlanTrak, NPA, DDD, HCOS, and Patient Level data) or Symphony data.
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Primarily in civil design; including complex earthworks, mining (tailings, heap leach pad, waste rock stockpile design, reclamation), stormwater and surface-water controls, groundwater science, landfill design and remediation, and civil infrastructure in the power sector and water treatment facilities, as directed by the Team Leader, team members, and/or project engineer.
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Preferred certifications: AWS Certified Solutions Architect, Databricks Certified Data Engineer, or similar certifications. Minimum of 10 years of experience in data architecture, focusing on Databricks and AWS services.
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This group integrates laboratory science, clinical trial/biomarkers and asset development as well as disease research to maximize the potential of BMS current and future therapeutics. With a single vision as inspiring as Transforming patients' lives through science™ , every BMS employee plays an integral role in work that goes far beyond ordinary.
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Develop and demonstrate Expertise in nutrition science, dietary supplements, functional foods, natural products. Minimum BS degree in Food Science, Nutrition or related Life Science area.
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Experience in design, modeling and simulation of millimeter-wave wireless and transceivers, data converters and PLLs. The technical lead must have hands-on expertise in millimeter-wave circuit design and testing, demonstrated knowledge of RF, microwave millimeter-wave and mixed-mode design techniques and hands-on experience in performing high-frequency measurements.
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BS/BA, MS, or PhD, from an accredited school in a science/health field (e.g. Biology, Analytical Chemistry, Pharmacy, or a related field). The CMC Regulatory Technical Writer II authors high quality Module 2 and 3 regulatory submissions for both development and post-approval dossiers, change controls and technical reports.
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Experience with statistical / data software packages such as Netezza, SQL, Python, SAS Direct Experience with Credit Loss Forecasting (Either CCAR, CECL, or FP&A) If hired in CA, the base pay for this position is generally between $113,318 and $196,428.
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data science jobs Company: Apple in Bernards, NJ
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