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Master's degree from an accredited college or university in health economics and outcomes research (with strong analytical skills), statistics, mathematics, psychometrics/psychology, epidemiology, computer science or related fields.
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The TSL is responsible for the development and execution of the Translational Science Plan and for providing scientific input into the Clinical Biomarker Plan as well as an overarching Translational and Precision Medicine (TPM) Strategy for the assigned Immunology therapeutic area (TA) drug asset(s) in accordance with Teva priorities.
$150ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Work closely with our data engineering and data science teams to design and optimize data pipelines and ensure efficient and reliable data processing. Collaborating with data engineering and data science teams to understand data requirements and design optimal data pipelines.
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The Business Systems Analyst is a critical member of our IT team, leaning forward into manufacturing automation, decision science and process optimization technology, as a member of a highly capable and knowledgeable team deeply vested in our shared achievement and success as the IT organization continues to make advances toward modernizing aerospace manufacturing systems and processes in the US and abroad.
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Collaborate with Architecture, Infrastructure and Data Science teams to translate their needs or challenges into production-grade Artificial Intelligence and Machine Learning deployment architectures for batch, real-time streaming deployments.
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Our data analytics and software platforms support data science, commercial operations, real-world evidence, and cloud information management. High proficiency on data analysis using tools like R, Python, SQL (atleast one required/Python preferred) Qualitative skills: Independent contributor/Self starter Good communication and presentation skills to present work to Executive Leadership team Able to commute to client location - 25% Extensive knowledge of various pharmaceutical industry data sources such as: IQVIA (xPonent, xPonent PlanTrak, NPA, DDD, HCOS, and Patient Level data) or Symphony data.
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Primarily in civil design; including complex earthworks, mining (tailings, heap leach pad, waste rock stockpile design, reclamation), stormwater and surface-water controls, groundwater science, landfill design and remediation, and civil infrastructure in the power sector and water treatment facilities, as directed by the Team Leader, team members, and/or project engineer.
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Science (MS) in analytical chemistry or an analogous area of study is preferred. - At a minimum, this position requires a Bachelor of Science in Chemistry. instrumentation, such as: ICP-OES, ICP-MS, XRF, extensive knowledge of Spectro Analytical equipment.
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Requirements: BS Degree in Animal Science is preferred. Poultry husbandry experience·Hatchery experience·Broiler experience·Feed mill experience·Knowledge of and commitment to Animal Welfare guidelines.
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Analytic platforms, artificial intelligence (AI), data visualization and data reporting tools and scripting tools to conduct data science projects, as well as instruct others. and data science techniques for quantitative analysis, statistical analysis, forecasting, predictive modeling.
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Education & Requirements Associate or bachelor’s degree required in Computer Science, Information Technology or related field. Diagnostica Stago, Inc., (DSI) is an industry leader in the science of hemostasis and thrombosis.
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Masters from an accredited college/university in Computer Science, Statistics, Mathematics , with a minimum of two years of relevant experience 2 years of professional experience working as a Data Scientist.
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Master's degree in health economics and outcomes research, statistics, mathematics, psychology, epidemiology, computer science, or related fields. Apply various statistical methods to real-world research and clinical trial studies.
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Extensive knowledge of various pharmaceutical industry data sources such as: IQVIA (xPonent, xPonent PlanTrak, NPA, DDD, HCOS, and Patient Level data) or Symphony data. Extensive experience with Excel, PowerPoint, and other analytical + reporting tools, Proficiency in SAS / SQL / R / Python.
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We are looking for an innovative, dynamic, entrepreneurial, strategic leader with a wide array of technical expertise including data science, epidemiology, drug development, AI and machine learning as well as an in depth understanding of the pharmaceutical industry, regulatory strategy and evidence generation.
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science job Title: research associate in Rockaway, NJ
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