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For quantitative roles, Predocs will manage and manipulate data using requested packages, such as STATA, Python, R, or MATLAB. Statistical/programming experience and/or applied experience with Python, STATA, R, or MATLAB. Behavioral predoctoral roles require familiarity with qualitative coding and research methods, including tools like Qualtrics and MTurk.
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Proficiency in data visualization tools (, Tableau, Salesforce CRMA), SQL and SAQL, and statistical analysis software (, R, Python). Collaborate with IT and data management teams to improve data collection, cleansing, storage, and retrieval processes.
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Extensive experience in quantitative modeling using interactive computational platforms such as Python, R, MATLAB, or similar, using modern data structures, analysis, and visualization tools in production Windows and/or Linux environments is required.
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Develop/ Build and enhance data pipelines using Python, Spark based data engineering solutions (Databricks), and SQL (AWS Redshift). State Street Global Advisors is looking for a highly skilled Data Engineer/ Data Analyst with 3+ years' experience to join our Portfolio Analytics Technology Solutions team.
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You will leverage your fundamental knowledge of biosensors, fluorescence data, and bioengineering R&D to act as an expert for the interpretation, and analysis of, nELISA experimental data coming from R&D and day-to-day Lab Operations, connecting the fundamentals of the science to the specifics of the data.
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Expertise in programming languages (e.g. Python, R, SQL, JavaScript), version control, and other data science related tools (e.g. D3, AWS, dbt) Experience with developing advanced data visualizations and dashboards (e.g. Dash, Streamlit, R Shiny and front-end frameworks such as Flask and Angular) in business settings.
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Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
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Hands-on experience with data monitoring and vendor operations, data collection, data-entry, data-monitoring, data-validation, discrepancy management, data-extraction, and IRB/regulatory requirements.
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Extensive experience in programming languages such as SQL, Python, R, and C# As a Senior Data Analyst, you will work closely with the consulting, software development, and model development teams to ensure that our models are meeting the needs of the clients and software as well as capturing the meteorology and atmospheric behavior of the peril at hand.
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Experience in Excel, Stata, Python, R, SQL, SAS, ArcGIS/ArcPy, or Cloud computing (Databricks/Spark, Google Cloud, Azure, AWS); Program, build models and/or perform regression analyses in statistical analysis programs (such as Stata, SAS, Python, R, Matlab or Mathematica.
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Proficiency in programming languages such as Python, R, Java, or similar, with experience in libraries/frameworks for KGE (e.g., PyKEEN, DGL-KE). Deep understanding of biological data sources (e.g., genomics, proteomics, metabolomics) and their integration into knowledge graphs.
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Experience with Matlab, Python, R, SQL, and good coding practices. Experience with common statistical methods, basic data science principles, and AI/ML methodologies. Resource Management - Ability to manage one's time within individual, departmental, and corporate goals and timelines; management of internal and external resources (vendors.
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Experience programming in languages such as Python, R, Scala, SQL, JavaScript, C/C. As needed, collaborate with internal and external collaborators to identify optical character recognition, automation, predictive modeling, pattern analysis, natural language processing, fraud detection, and other business cases for using data science.
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Full stack software engineering experience, with proven experience in data visualization modules or frameworks like Python Dash and R Shiny. Solid software development skills including experience in R, Python and SQL. Knowledge of Database design and query optimization a plus.
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Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny) Coordinate with data management study leads, clinical operations, internal stakeholders and external vendors to map non-EDC data from collection through analysis.
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python r data management jobs Title: data analyst in Boston, MA
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