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Hands on experience using a modeling and simulation software (e.g. Python, Matlab, R, NONMEM, SAS, S-Plus, etc) is a plusKnowledge/Experience in the usage of machine learning/AI tools in life science area(s) and handling life science datasets is preferredExcellent interpersonal, technical, and communication skills to lead cross-functional teamsProfound grasp of Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop.
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Strong proficiency in data science Python/R librariesProven experience in managing large, complex projects with multi-functional team members. Stay up-to-date with the latest methodologies and best practices in statistical analysis, machine learning, and data science to continuously enhance skills and knowledge.
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Experience with general programming and data analysis tools/languages such as Python, R, MATLAB, Spotfire, etc., is required. Stay informed with emerging literature and science in the systems biology/pharmacology modeling and simulation sciences.
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This position will work on a variety of projects in survey science and software development for the reduction, analysis, interpretation, and testing of photometric and spectroscopic data from very large surveys including but not limited to the Rubin Observatory Legacy Survey, the NAOJ Hyper Suprime Cam and the Subaru Prime Focus Spectrograph, and play a role with WFIRST (the Wide Field Infrared Survey Telescope.
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Play a key role in development of data science capabilities for solving problems in the life sciences Supply Chain and Manufacturing (SC&M) space and development of offerings that create scale and advance our analytic platform; Architect and implement AI-enabled data products.
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At Bristol Myers Squibb, we are inspired by a single vision - transforming patients' lives through science. QSP models are mechanistic, mathematical models, based on integration of non-clinical/clinical knowledge and data to represent varying scales of drug pharmacology from target binding and modulation through disease pathophysiology and multi-drug pharmacology.
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Proficiency in tools such as Python, R, SQL, and data analysis and visualization platforms. MBA or master's degree in marketing, business administration, data science, or related field preferred.
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Proficiency in scientific computing/programming (SAS, R or Python) and implementation of advanced statistical analysis, data manipulation, graphing & simulation. With a single vision as inspiring as Transforming patients' lives through science , every BMS employee plays an integral role in work that goes far beyond ordinary.
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The PID division develops innovative, AI-based solutions for education and the workforce that are built on a foundation of learning and cognitive science principles and leverage interactive task design, machine learning, and data sciences.
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Experience with common data science toolkits, such as Python, R, SQL. Excellence in at least one of these is desirable. The Associate Data Scientist works with the data science team to facilitate and manage clinical data collection for algorithm development, for clinical studies related to FDA submission, and for research and scientific communications purposes.
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Experience with technologies which have growing Plan and Make business importance like R, R Shiny, Python, Microsoft Azure, Azure Data Bricks, Azure Data Factory, Celonis, etc. Relevant Course work in Data Analytics, Supply Chain Logistics, Operations Research or Data Science.
Full-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Collaborates closely with teams in departments throughout the organization, including Medical Affairs, HEOR, Clinical Trial Management, Market Development & HCP Engagement, as well as with other data science units globally.
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The ideal candidate will have a strong computer science background, advanced Python knowledge, and experience with cloud services, SQL/NoSQL databases, and Docker/Kubernetes. We’re seeking a Senior Data Engineer to enhance our Data Science Team, focusing on implementing and managing data workflows that support machine learning models and large-scale analytics.
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Bachelor's degree in Computer Science, Management Information Systems, Computer Engineering, or related field or equivalent work experience; advanced degree preferred. Refined skills using one or more scripting languages (e.g., Python, bash, etc.
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Minimum of a Bachelor's degree or equivalent in IT/Computer Science. data structures, development experience with FIX protocol and/or other industry protocols like OPRA, CTA, UTP etc are critical for this role.
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