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Maintain awareness of new statistical methods, tools and data sources to ensure that projects represent current state of science, and maintain professional knowledge by reading scientific journals, attending internal and external courses, and undertaking methodological research.
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Bachelor's degree in relevant field- Computer/Data Science, Economics, Mathematics, Statistics. Hands on development experience with: Python, Spark, SQL, Cloud-based ETL tools, Azure Data Factory/Databricks and Snowflake.
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Utilize knowledge of medical concepts, safety activities in drug development and post marketing and global safety health authority requirements; medical-scientific data from a broad range of disciplines such as clinical trial laboratory data, nonclinical data, post marketing reports, scientific literature, and regulatory documents.
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OR You may substitute education for specialized experience as follows: One (1) academic year of graduate education in a field of study such as business administration (e.g., finance, accounting, auditing, marketing, and business law), law, economics, criminology, political science, government, public administration, or another related field.
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Digital Forensics and Incident Response Support specific IT forensic investigations and operations, including The extraction of data and electronic evidence from information technology in a way that ensures that the data is seized in compliance with computer forensic standards and in compliance with chain of custody guidelines.
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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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Master's Degree in Geology, Biology, Ecology, Environmental Science, Archeology, Anthropology or related field and 3 years of relevant experience. Bachelor's degree in Geology, Biology, Ecology, Environmental Science, Archeology, Anthropology or related field and 4 years relevant experience, or.
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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.
$207,763 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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High proficiency on data analysis using tools like R, Python, SQL (atleast one required/Python preferred) We help to optimize business strategy and operations by delivering cutting-edge analytics from the broadest set of data sources, combined with deep technical and domain expertise.
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Expertise in BigQuery query optimization and backend data preparation for integration with frontend tools such as Tableau and Power BI.Experience in data processing using Python scripting.
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Qualifications Bachelor’s degree required in one of the following fields: Physics, Engineering, Statistics, Econometrics, Actuarial Science, Decision Sciences, Operations Research, Applied Mathematics/Physics, and/or Quantitative Analysis Masters/MBA or PhD is preferred.
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Master's degree in health economics and outcomes research, statistics, mathematics, psychology, epidemiology, computer science, or related fields. Demonstrate knowledge of real-world evidence (RWE) databases and clinical trial data.
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There are also Research and Extension offices in Lonoke, Newport and Lake Village and collaborations with other colleges and universities in the State through the National Science Foundation funded STEM (Science, Technology, Engineering and Mathematics) Academy.
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In this role, the Lead Cyber Threat Intelligence Analyst will be responsible for the tactical and operational analysis of cyber, fraud, and physical threats that may impact ADP. The Cyber Threat Intelligence Analyst will demonstrate technical expertise and leadership in threat intelligence, data analysis, and brand protection.
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Net, SQL Server/SSIS/SSAS Reporting tools Angular / React Azure DevOps Visual Studio Azure DataBricks, Data Factory Domain experience : Working knowledge of Investment Securities Trading, Operations, Compliance workflows & Analytics) Designed and developed the applications using Agile Scrum methodology.
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data science jobs Company: Asml in Parsippany, NJ
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