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A proud U.S. 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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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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Learn more at Johnson & Johnson Innovative Medicine Technology (IMT), the Enterprise Technology group supporting all business functions under Johnson & Johnson is currently recruiting for Data Engineer, Technology Product Management within our Global Commercial Data Science JJIM Commercial Pharma business.
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As the Senior Scientist of Computer Vision in Translational Data Science, you will be at the forefront of applying artificial intelligence (AI) to revolutionize our understanding of disease biology and the mechanisms of our therapeutic interventions.
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ML, NLP, LLM Model Evaluation: Work closely with the other data science team members to develop, validate, and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, reliability, during development, UAT. Implement model optimizations to improve system efficiency.
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A proud U.S. Department of Energy 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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Whether it be through science, engineering, technology or professional services, every team member has an opportunity to make their mark on our world. PTC Creo (Pro-E) and SolidWorks and Windchill or a similar PDM tool.
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A proud 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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Bachelor or Masters of Science or Engineering in Environmental Science, Geology, Civil, Environmental, or Chemical Engineering, or other engineering or related earth science discipline.
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The Position The Rapid Cycle Analytics (RCA) Lead Data Scientist role sits within the Clinical Data Science and Evidence (CDSE) team, which is part of CMR. This role interfaces with internal stakeholders from Health Economics and Outcomes Research (HEOR), Real-World Evidence (RWE), Medical Affairs, Clinical Trials Operations, Market Access, and a few other teams to respond to quick turnaround data analytics requests.
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Must possess a Bachelor’s degree or foreign equivalent in Information Technology, Data Science or a related field and minimum 3 years of experience in ROI analytics, business analysis, sales analysis, forecasting, quantitative finance, data science.
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Broad in-depth knowledge of the Source to Contract process, ideally in functional operation as well as implementation and the associated sub-capabilities which include, ESG, Third Party Risk Management, Contracting, Sourcing, Data Science and Analytics.
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Required Skills : •3-5+ years in Python •Proficient understanding of distributed computing principles and Resilient Distributed Dataset •3+ years of Agile Scrum and Scrum Kanban experience •Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala •Experience with NoSQL databases, such as MongoDB, HBase, Cassandra •Experience with Big Data frameworks such as Hadoop, Apache Spark, Apache Beam.
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Master’s degree from an accredited university in fields such as outcomes research, epidemiology, biostatistics, data science, predictive analytics with 3 years relevant work experience is required; a doctoral degree (PhD, DrPH, ScD) is preferred.
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Ph. D. in Statistics, Applied Mathematics, Biomedical/Chemical Engineering, Computer Science, Physics, Computational Biology, or related field. Stay informed with emerging literature and science in the modeling and simulation sciences.
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microelectronics physics data science jobs Company: Kbr in Princeton, NJ
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