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If you are a passionate and driven Business Intelligence Developer with a strong background in ETL, SQL, Data Modeling, and Visualization, we encourage you to apply by submitting your resume to bk@ Please add me on LinkedIn.
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Deloitte Risk and Financial Advisory Risk, Data and Regulatory Liquidity - Manager. 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.
$113,325 - $207,763 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Co-own with relevant stakeholders the site HSE continuous improvement plan considering Firmenich HSE global Strategy, HSE global management Principles & Codes, Data, new business requirements, new/updated regulations and employees’ input and by providing data analysis, trending, and recommendations and providing technical and administrative direction on HSE matters at the site.
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Provide analytical and statistical support on HEOR research performed within claims data, EMR data, clinical trial data, and registry data. Work closely with HEOR principals to design HEOR studies to select the appropriate data (e.g., eCRF design, database design, registry data.
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This position, in collaboration with the Museum’s Senior Manager of Data Operations, is responsible for ensuring that gifts and pledges are recorded, reported, and acknowledged in a timely manner.
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Our Data team supports the Bloomberg Industry Group (INDG) business, which offers outstanding tools, search, and analytics for products in the areas of Law, Government and Tax. Bloomberg is changing the legal industry by delivering the most sophisticated research platform on the market with a focus on automation, analytics and real-time answers.
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The Position The Rapid Cycle Analytics (RCA) Lead Data Scientist role sits within the Clinical Data Science and Evidence (CDSE) team, which is part of CMR. This role interfaces with internal stakeholders from Health Economics and Outcomes Research (HEOR), Real-World Evidence (RWE), Medical Affairs, Clinical Trials Operations, Market Access, and a few other teams to respond to quick turnaround data analytics requests.
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Your day-to-day will involve:Engaging in dynamic discussion laboratory personnel in our US and European locations to guide them in developing IHC/IF single-plex/multi-plex assays and in situ hybridization (ISH)Partnering closely with our digital pathology team and data scientists to develop and verify digital image analysis algorithms and results from image analysis projects.
$170,625 - $284,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience in developing scalable data pipeline using technologies like Kafka, Databricks, Spark and Scala applying ETL and ELT concepts. Experience in implementing data lake systems using cloud native technologies such as S3, Redshift, EMR, Hive, Presto, Spark.
$97,497 - $195,800 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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This data program will include an integrated data flow with end-to end control of data, internalization of numerous systems and processes, broad enablement of automation and near-time data access, efficient data review and query, and enablement of disruptive technologies for next-generation trial designs and insight derivation.
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In this role you will be someone who stays on the cutting edge of artificial intelligence, data science, and advanced analytics research through novel project execution and development of algorithms that influence decisions at various levels in the organization, with primary focus on omnichannel sales and marketing optimization, but also including distribution demands, patient/payer analytics, commercial strategy, and related commercially focused model development.
$113,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience managing and analyzing large data sets using data science tools such as artificial intelligence and machine learning. Through a highly effective Investment Process, they provide solutions across all product platforms and asset classes - equity, fixed income and alternative investments including structured products and specialty assets - through a comprehensive due diligence and oversight process for client portfolios.
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Have a good data analysis and computer programming skills in advanced statistical software packages, e.g., SAS, SPSS. Modelling and extrapolation of clinical trials data to the real world setting e.g., extrapolation of time-to-event curves, accounting for the impact of treatment switch (crossover.
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Work closely with HEOR principals to design HEOR studies to select the appropriate data (e.g., eCRF design, database design, and registry data). Modeling and extrapolation of clinical trials data to the real world setting e.g., extrapolation of time-to-event curves, accounting for the impact of treatment switch (crossover.
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Requirements: Bachelor's degree in Operations Research, or a related field plus 5 years of post-baccalaureate experience with skills of data analysis, multivariate statistics, predictive modeling, regression & classification, R, SQL, Python, Tableau, translation of complex analysis to business insights, social analytics, pharmaceutical sales, marketing data sets.
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data job Title: manager Company: Takeda Pharmaceutical in Hopewell, NJ
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