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At least 4 years of relevant hands-on data science experience in a commercial, medical affairs, scientific affairs and/or R&D environment is required. Partner outside of GCSO with the regional businesses, global epidemiology, R&D, JJT, Legal, HCC and others in the development of the Data Science strategy and guidelines for insight generation and usage.
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The Data and Machine Learning Engineer leverages data and computing infrastructure, automation and workflow orchestration tools to create data processing steps for machine-learning pipelines in production.
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Experience in data visualization tools (SQL, Python, R) and BI visualization tools (Tableau, Power BI, QlikView, etc.) Bachelor’s degree in Business, Computer Science, Data Science, or related field required; Master's degree is a plus.
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This individual will report to the Executive Director in R&D. This position will play a pivotal role in shaping our in vivo CAR-T cell therapy program. Independently design and execute experiments, document, and interpret scientific results, present the data to cross-functional teams.
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Experience working with Big Data, Data Lakes, Data products. Title: Data Architect in Regulatory with Databricks, Datafabric, Data mesh, Snowflake (Required.
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The research portfolio of the Dermatology Service includes optical engineering, artificial intelligence, basic science, translational science, epidemiology and clinical trials with over $5 million of annual funding from NIH, Foundations, Industry, and philanthropic sources.
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Experience developing and sustaining data load jobs using Extract, Transform, Load (ETL/ELT)methodologies and tools such as, Python, SQL, Shell Scripts and AWS Services. Developing and sustaining a data ingestion pipeline to AWS leveraging services such as Athena, Glue, Lambda, S3, Relational Database Service (RDS) and Redshift.
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Masters degree in computer science, data science, mathematics, or a related field. Proficiency in Python and experience with common data analytics packages (e.g. Numpy, Pandas, Sklearn, PySpark.
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Responsible for facilitating the continual enhancement of integrity, completeness, and timeliness of US innovation financial data to enable "one source of truth" for reporting and analytics. Innovation and Financial Operations Associate Manager will be responsible for supporting financial analytics, reporting, and process improvement for the US Innovation team by ensuring data integrity, conducting financial analyses to inform strategic recommendations, managing operational activities, and owning specific process improvement initiatives.
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Experience with enterprise cloud economics Understanding of enterprise data management concepts (Data Governance, Data Engineering, Data Science, Data Lake, Data Warehouse, Data Sharing, Data Applications.
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Strong data processing, analysis, statistics, and data interpretation skills. Perform enzymatic assays, ex vivo sample processing, and various molecular biology techniques including flow cytometry, western blot, and ELISA.Utilize plate readers, fluorescence microscopy, and flow cytometry.
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The HORIBA Group of worldwide companies provides an extensive array of instruments and systems for applications ranging from automotive R&D, process and environmental monitoring, in-vitro medical diagnostics, semiconductor manufacturing, and metrology, to a broad range of scientific R&D and QC measurements.
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Experience with big data technologies (e.g., Hadoop, Spark, Databricks, Snowflake) and cloud platforms (e.g., AWS, Azure). Axtria Data Science CoE At the Axtria Data Science Center of Excellence (CoE), we are on a mission to harness the power of AI and GenAI to revolutionize patient outcomes within the life sciences industry.
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Ashland has an exciting opportunity for a Synthetic Organic/Polymer Chemist to join Ashland Specialty Ingredients G. P. as a member of our Applied Research Team in Global R&D. This position will report to the Applied Research Group Leader in Bridgewater, NJ. This position will be located in Bridgewater, NJ. To learn more about Research & Development at Ashland visit: www.
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Integration of DLP platforms with other security, data base, and workflow solutions via PowerShell, Python, PHP, BASH, JavaScript, and SQL. The Principal Cybersecurity Data Loss Prevention (DLP) Engineer is responsible for the Architecture design, engineering, and operation of (DLP) systems.
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big data science processing r python jobs Company: Pwc in Warren, NJ
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