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The applicant is expected to develop highly effective collaborations with relevant stakeholders including those in Patient Health & Impact, the Patient-Centered Outcomes Assessment Group, Statistics, Clinical Pharmacology, Clinical Development, Medical Affairs, Epidemiology, Programming, and other groups contributing to HEOR analysis and strategy.
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A Juris Doctorate, PhD, MBA or a Master degree in Finance, Tax, Quantitative Statistics, Financial Engineering, Economics may also be considered. A Juris Doctorate, PhD, MBA or a Master degree in Finance, Tax, Quantitative Statistics, Financial Engineering, Economics may also be considered.
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The Knowles and Azizi labs are seeking a joint postdoctoral research scientist with a background in computational biology, machine learning, and statistics, as well as preferably genomics and cancer biology.
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Research, organizational behavior, industrial psychology, statistics, personnel administration, labor. research, organizational behavior, industrial psychology, statistics, personnel administration, labor.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Technical and analytic capabilities in real world evidence as well as one or more of the following areas: economic modeling, economic evaluation, cost-effectiveness evaluation, patient focused outcomes, burden of disease, epidemiology, statistics, and health care policy.
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Postdoctoral Fellow, Computational Biology in Cancer - Chan Lab at Memorial Sloan Kettering Cancer C
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A PhD in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related field. The Chan Lab in the Human Oncogenesis & Pathogenesis Program at Memorial Sloan Kettering Cancer Center is seeking a highly motivated and successful individual with a back ground in computational biology.
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Microsoft Research (MSR) New England and MSR New York City are comprised of approximately fifty full-time researchers and postdocs working in AI for systems, computational biology, computational social science, economics and computation, Fairness, Accountability, Transparency, and Ethics in AI (FATE), machine learning and AI, machine learning and statistics, reinforcement learning, social media studies, theoretical computer science.
$6,290 - $12,170 a monthInternExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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In accordance with the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act (Clery Act), the Department of Public Safety is required to publish an annual security report which includes statistics mandated by the Clery Act. Click here for a copy of this report.
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A) A masters degree from an accredited college or university in accounting, business, child welfare, counseling, economics, education, finance, human resources, labor relations, management, management science, nursing, operations research, organizational behavior, personnel or public administration, political science, psychology, sociology, social work, statistics, and/or urban studies may substitute for two years of experience; and/or.
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Education: B.S., M.S. or PhD in engineering, mathematics, physics, statistics, computer scienceSeniority: minimum of 2 years of experience working on a prop trading, quantitative trading or electronic trading desk (investment bank, hedge fund, etc.
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BS/MS/PhD in a quantitative discipline (econometrics, statistics, mathematics, physics, computer science etc.) Building, validating, testing, and reviewing of quantitative models (default models, cashflow models, capital models, regression models, time series models) that support our ratings across asset classes of ABS, CMBS, Covered Bond, RMBS, Structured Credit, Corporates.
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A master's degree from an accredited college in business or public administration, economics, labor or industrial relations, statistics, industrial psychology or a closely related social science field and one year of satisfactory full-time professional experience in labor research and analysis, employee benefit design and benefit program evaluation, compensation analysis, labor economics, economic planning, or a related area; or.
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They must also be able to teach a variety of courses in the department including, but not limited to,machine learning/data mining, natural language processing/text mining, causality and experimental design, probability and statistical inference, business statistics among others.
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Bachelors or Master's degree in Data Analytics, machine learning, Computer science, artificial intelligence, statistics, data science or related discipline. Experience in Data science and Machine learning using Python, R, Java, C#, Spark, AutoML, TensorFlow, Amazon AML, Microsoft machine learning studio, PyTorch, IBM Watson and any graph DB.
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statistics job in Newark, NJ
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