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Knowledge of data/analytical tools – Strong experience with SQL; experience using data visualization tools like Tableau or Microstrategy; knowledge of statistics and modeling; experience with Python, R, Jupyter, other analytics/data science tools.
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Experience with data analysis tools and platforms, such as R or Python programming languages for data cleaning and analysis and ArcGIS software for analyzing and mapping geospatial data.
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Understanding of advanced analytics platforms/tools such as R/SAS, Python, Hadoop, Apache Spark, and familiarity querying databases. Experience with tools like SQL, Python, Hive, GCP, Power BI, Tableau, DataBricks, etc.
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Expertise in open source data science technologies such as Python, R, Spark, SQL. 5+ years of experience using AI/ML , data science software (e.g., Python-based tools) Proficiency in programming languages such as Python for data manipulation, analysis, and model development.
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Proficiency in actuarial software, data manipulation tools, and statistical modeling platforms (e.g., SAS, R, Python). A professional actuarial designation (e.g., FCAS, ACAS, or equivalent) is required.
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Utilizing and applying computer programing skills as applied to data acquisition, analysis, reporting, and visualization (R, Python, JSON, SQL, d3. and statistical software specialization into projects (e.g., R, SPSS, SAS, etc.
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Prepare and manipulate large datasets using statistical software and programming languages such as R, Python, or SAS. Conduct data validations and ensure data integrity that support risk capital and reserving analyses.
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Strong knowledge of standard statistical software (e.g. R, Python, SQL, SAS). These questions center on post-market surveillance, safety, product development, value demonstration for payers, label extensions, robotic surgery insights, predictive analytics and artificial intelligence.
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Experience in using data analytics software like Alteryx, Dataiku, R, Python, PowerBI preferred. Welcome in our teamGlobal Liquidity Management (GLM) is a smaller highly specialized team focusing on Treasury operations and Liquidity management globally.
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Proficiency in scientific computing/programming (SAS, R or Python) and implementation of advanced statistical analysis, data manipulation, graphing & simulation. This individual leads the Biostatistics function within therapeutic areas of BMS and responsible for providing statistical input to development strategies, and effective implementation plans to support product development or market access objectives in a global organization.
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Proficient coding skills (SQL/Python/R) and database knowledge. Perform hands-on modeling and complex analyses using Python and SQL. Excellent technical chops and advanced programming skills with experience of creating Python modules.
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With programming in scripting or multi-paradigm languages (Python, R, AI and advanced technologies to automate health care processes (key areas are Prior Authorization, Pre-Certifications, UM, and digitization of paper/faxes, Neural Voice.
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Data science & advanced analytical techniques and technologies (e.g., R, Python, Cloud-based data & analytics frameworks (e.g., Azure, Databricks, Snowflake) We own and market iconic brands including Calvin Klein and Tommy Hilfiger, in addition, market a variety of goods under our own and licensed brands.
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But working at Bristol Myers Squibb is anything but usual. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. Fresh PhD or MS with 2+ years' experience in statistics or biostatistics or related scientific field with clinical trials, drug development, pharmaceutical industry or healthcare experience.
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From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. The Senior Manager of Biostatistics is a member of cross-functional development teams and contributes to trial design, protocol development, analysis planning, interpretation of results, and preparation of regulatory submissions.
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