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Strong knowledge of statistical software packages; previous experience in data mining, demonstrated experience / expertise in problem solving Extensive understanding of relational databases and ability to effectively utilize statistical software – SAS, Stata, R and Python.
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Use ETL, CI/CD, Agile, Snowflake, Rest API, JSON, PL/SQL, DMS, CDC, Lambda, S3, SQS, RDS, Jira, Oracle, SQL Server, SNS, Python, SQL, AWS. 40 hrs/wk. Must have 2 years of experience reviewing requirements; developing and working with data models, data warehouses, data pipelines, scripts, files, queries; performing unit testing; using ETL, Agile, Rest API, PL/SQL, RDS, Jira, Oracle, SQL Server, AWS. Must be willing to travel/relocate to unanticipated locations throughout the US on short notice for extended periods of time.
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Experience with general programming and data analysis tools/languages such as Python, R, Spotfire would be particularly desirable. This position is an exciting opportunity to impact critical decision making in the progression of multi-target drug R&D primarily with immunology, cardiovascular, and/or neuroscience applications.
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The ideal candidate will have strong data warehousing and API integration experience and the ability to develop scalable data pipelines that make data management and analytics/reporting faster, more insightful, and more efficient.
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Proficiency in statistical software packages (e.g., SPSS, SAS, R) and data management tools. Demonstrated experience in research design, data collection, statistical analysis, and scientific writing.
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Master Data Management: Informatica MDM. Meta data management/Data Catalog: Informatica EDC. Database/Data Warehouse: AWS RDS, Snowflake, AWS Redshift, Knowledge of SQL.
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Proficient in scripting and automation using PowerShell, Azure CLI, Python, Azure DevOps, and Azure Logic Apps. Integrate and automate tasks and processes using PowerShell, Python, Azure CLI, Azure DevOps, PowerAutomate, and Azure Logic Apps.
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As the premier post-trade market infrastructure for the global financial services industry, DTCC simplifies the complexities of data management across transaction types and asset classes, increasing transparency, mitigating risk and driving efficiencies for financial firms.
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Experience in data management, with some exposure to EDC, IRT, eCOA. 3+ years of pharma / clinical research / data management / health care experience or 5+ years of project management experience.
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Job Description As an X-ray technologist, you will take medical images of patients for diagnostic purposes.
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Drives improvement of the end-to-end promotional content process in collaboration with Global Ecommerce, Marketing Promotions, Shopper Marketing Communications and Content Management Agency teams.
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We are also the regions leading provider in various medical specialties such as cardiology, pulmonary medicine, oncology, gastroenterology, orthopedics, rehabilitation, radiation oncology and pain management.
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Current certifications in any of the following areas: cloud provider (AWS, Azure, GCP) technologies, cloud data technologies (Redshift, BigQuery, Synapse, Fabric, Snowflake, Databricks, etc.) Familiarity and experience with common BI and data exploration tools (e.g. Microstrategy, Looker, Tableau.
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Proficiency with database programming languages including SQL, R and Python. The data scientist will be responsible for supporting our global climate and ESG initiatives as part of our growing Sustainable Finance team, working alongside likeminded scientists, analysts, and engineers.
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Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
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python r data aviation management jobs Title: data analyst in Boston, MA
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