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You will contribute to several clinical development programs to help identify appropriate biomarkers, mechanisms of action, and new indications using cutting-edge data science tools.
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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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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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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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Overall management (including operation, maintenance, and monitoring) of various environmental remediation systems (e.g., soil vapor extraction (SVE), enhanced in-situ bioremediation (eISB), in-situ chemical oxidation (ISCO), permeable reactive barriers (PRB), and groundwater extraction and treatment.
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Learn more at Data Science and Digital Health Analytics & Insights team within Johnson & Johnson Innovative Medicine develops innovative solutions using a variety of data sources across multiple different disease areas, encompassing oncology, cardiovascular and metabolic disorders, immunology, neuroscience, and infectious disease.
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Bachelor's degree or equivalent experience in Computational Linguistics, Computer Science, Quantitative Finance, or a related Technical field or background. A Senior Data Management Professional is a key role within our organization responsible for optimizing the value of our data for clients and improving our data operations.
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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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Familiarity with emerging Analytics / Data Science capabilities and their application to healthcare / life sciences. Description : The Associate Director reports directly to the Director of US Commercial Real World Data Strategy and is based in central NJ. He/She has responsibility for designing and executing the Brand Data Strategies for the pre-launch, launch, and inline brands/indications for a multi-billion-dollar product portfolio.
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Engage with cross-functional teams (e.g. IT, research teams, data science, clinical ops) to support, guide/advise, and drive design/implementation of solutions/SOPs. As our Associate Director, you must effectively implement Signal Management Group surveillance strategies for proactive and systematic detection and evaluation of new safety signals and emerging trends from clinical and post-marketing safety data for complex pharmaceutical products (e.g., large innovative programs, new therapeutic areas, or complex business partner relationships.
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Qualifications Education and Training: 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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REQUIREMENTS:Bachelor’s degree required in policy, law, economics, engineering, or basic/applied science (such as physics, chemistry, material sciences, environmental science, earth sciences, etc.
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If you are a passionate and driven Business Intelligence Developer with a strong background in ETL, SQL, Data Modeling, and Visualization, we encourage you to apply by submitting your resume to bk@ Please add me on LinkedIn.
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PhD in Chemistry, Physics, or Computer science. Fundamental understanding of data analysis. Universal Display Corporation is seeking a Research Scientist to apply machine learning (ML) and QSPR to the design of cutting-edge new materials for application into our world-leading OLED business.
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Required Licenses or Experience Bachelors degree in Health Informatics, Data Science, Computer Science, or related field; masters degree preferred. Experience with data analysis software such as SQL, Python, R, and data visualization tools like Tableau or Power BI.Experience in designing and implementing EHR templates to capture relevant clinical data.
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data science jobs Title: associate scientist clinical in Princeton, NJ
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