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Familiarity with ETL data engineering techniques using PySpark within Databricks/Snowflake preferred. Degree in Engineering, Statistics, Applied Mathematics or Data Science preferredTrack record of applying AI approaches in product formulation and/or process modelingRequired experience with programming languages (e.g. R, Python, MATLAB.) and experience in NLP model development is a plus.
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DescriptionJohnson & Johnson Innovative Medicine is recruiting for a Director, Early Development Lead-Solid Tumor Oncology to join the J&J Research and Development Data Science and Digital Health team.
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Requirements: Bachelor's degree in Computer Science, Information Technology, or a related field Solid experience in Databricks platform, data engineering, and using Delta Live Tables Experience with medallion architecture in a data lake environment Proficiency in Snowflake data warehousing platform Strong understanding of ETL workflows and data pipeline automation.
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Product strategy, product development, web development, mobile development, product consulting, UI development, digital marketing, innovation consulting, digital transformation, emerging technology, corporate venture, blockchain, data science, machine learning, design thinking, and user experience design.
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Broad understanding of multiple technologies -These include;Blue Yonder suite of products/architecturesERP (SAP) & ERP Datawarehouses (SAP BW)Cloud-based data & analytics frameworks (e.g., Azure, Databricks, Snowflake) Data science & advanced analytical techniques and technologies (e.g., R, Python, Databricks.
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Cloud-based data & analytics frameworks (e.g., Azure, Databricks, Snowflake) Data science & advanced analytical techniques and technologies (e.g., R, Python, Databricks) Collaborate with the TPG enterprise architects on an architecture defining our new data driven forecasting & planning strategy.
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Mastery of analytics tools, attribution systems and data visualization tools (e.g. Google Analytics, MixPanel, Looker, etc.) Implement robust analytics systems to track the performance of marketing initiatives, measure ROI, and make data-driven decisions.
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Perform architecture review of data analytical solutions using Qlik Sense. Designing data models in Qlik Sense to accommodate the application requirements. Extract, transform and load data from multiple data sources into the Qlik application.
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Familiarity with simulation and data analysis tools for finite element, thermal, vibration, and stress analysis (Solidworks Simulation, Creo Mechanica, ANSYS) As a Koch company, Molex is a leading supplier of connectors and interconnect components, driving innovation in electronics and supporting industries from automotive to health care and consumer to data communications.
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The Data Management Principal Program Manager of Operations will focus on data quality, lineage, metadata, and dictionaries. Experience developing ETL and managing Master Data Management (MDM) operations.
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Support process operations by performing support specific and real time floor service tasks (i.e., kitting and kit cleaning, inventory management and data entry, sample management and data entry, aseptic behavior for cleaning of equipment, and cryopreservation) according to standard operating procedures and batch records, while recording production data and information in a clear, concise format.
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Your role in our mission Design your career for growth, new possibilities and refining your valuable skills: Develop queries, Visual Basic for Applications (VBA) Modules , and procedures to extract and analyze data pertinent to Managed Care Organizations (MCO), utilizing tools such as MS Access and MS Excel.
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Knowledge of Chromatography (GC and HPLC), Mass Spectrometry (GC/MS and LC/MS) and Chromatography Information Data Systems (CDS/LIMS). Submits accurate forecasts, weekly reports, monthly highlights, marketing intelligence, and maintains data integrity within SalesForce.com CRM.
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Assigned as the SRE expert to the Data Engineering Team. The data team manages all aspects of our data strategy, analysis, engineering, and machine learning. Stay current with technology trends and developments in the industry Big Data Ecosystem like Cloudera( CDP/CDH) and ETL Application monitoring knowledge.
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Contribute to data review, interpretation and publication of clinical study results. Understand and keep updated with the pre-clinical, clinical pharmacology and clinical data relevant to the molecule of interest and the respective therapeutic area.
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