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You have good knowledge and understanding of data science approaches including machine and deep learning; application in imaging domain (H&Es, IHC, radiomics) a plus. You will continue to stay up to date on the latest relevant scientific literature and translate your learnings into evolving best practices in data science at Genmab.
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Broad understanding of multiple technologies -These include; Blue Yonder suite of products/architectures ERP (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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Department of Energy National Laboratory managed by Princeton University, Princeton Plasma Physics Laboratory (PPPL) is a longstanding leader in the science and innovation behind the development of fusion energy — a clean, safe, and virtually limitless energy source.
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DSDH DSSPE - Real World and Multi-Omics Data Engineering, Solutions and Pipelines Johnson & Johnson - Innovative Medicine R&D is recruiting for Senior Data Science, Bioinformatics / Senior Data Engineer to join the R&D Data Science, Solutions, Privacy and Ethics (DSSP) department.
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You will also assist in troubleshooting business needs related to data quality, integrity, and RPA (UiPath). They will be brought on to complete complex projects on data quality and integrity across the Corporate Data Lake. You will be responsible for developing business processes using robotic process automation software and any other tools that may make sense.
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BS in Chemistry, Cosmetic Science, Physical Chemistry, Chemical Engineering or related sciences with 5+ years of formulating skin/sun care personal care products OR Masters degree with 3+ years' experience.
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Internal Stakeholders: Data Science, Project teams (CVPs, PVPs and M&S), R&ED or Translational Science & Medicine, Strategy, Access & Marketing (RWE, HEOR, NPP, Digital Health, Insights and Forecasting), GEPA, Regions/Affiliates, Senior/Executive management, Global Medical Affairs and Project teams.
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This is a leadership position within MST that requires advanced technical expertise in protein purification skills, included but not limited to chromatography, filtration (tangential flow, depth, viral and dead end) in addition to general knowledge for mammalian cell culture processes and/or, formulation, protein product quality attributes, and advanced data analysis skills.
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Master's Degree in Geology, Biology, Ecology, Environmental Science, Archeology, Anthropology, or related field and 7 years of relevant experience. Bachelor's degree in Geology, Biology, Ecology, Environmental Science, Archeology, Anthropology, or related field and 8 years relevant experience, or.
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How you’ll make an impact: As a Staff ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
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SciTec, Inc. is a dynamic small business with the mission to deliver advanced sensor data processing technologies and scientific instrumentation capabilities in support of National Security and Defense.
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With an eye on the future and in response to national priorities, PPPL also has begun a strategic shift from a singular focus on fusion energy to a multi-focus approach that includes microelectronics, quantum information science, and sustainability science.
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Extensive knowledge of a broad array of systems including Clinical Trials Management System (CTMS); Risk Based Monitoring (RBM); Electronic Trial Master File (eTMF); Electronic Data Capture (EDC); Clinical Studies Operational Data Warehouse & Analytics; Site Training and Resource Management etc.
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The Demand Planning is responsible for developing and maintaining demand planning models to ensure accurate forecasting of product demand, collaborating with cross-functional teams to gather and analyze data to identify trends and patterns in demand, and monitoring inventory levels and working with supply chain teams to ensure optimal inventory levels are maintained.
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For example: service or application-wide change; Debug code issues / bugs using stack traces, logs, monitoring tools, and other resources; Mentor and groom technical talent within the team; What you’ll bring:Bachelor’s or higher in Computer science or related major required; Minimum 5+ relevant industry experience with Big data - Hive, Spark, Hadoop.
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data science jobs Title: senior data analyst Company: Booz Allen Hamilton in Princeton, NJ
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