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When it comes to trauma data management, it's about professionals who can review abstract and validate data for the Trauma Registry, submit data to state and regulatory agencies and work as a liaison between performance improvement functions and the registry.
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Under the mentorship of a senior statistician, the selected candidate will write statistical methods and power analysis sections for grant proposals; generate statistical analyses to support interdisciplinary research; engage in sophisticated data wrangling, including claims and electronic health records (EHR) data; conduct appropriate statistical analyses using statistical languages (R, SAS), including summarizing and disseminating analytic findings.
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Experience working with large-scale, end-to-end data platforms and analysis solutions with exposure to platforms and tools such as [Databricks, Spark, Kafka, Cassandra, MongoDB, Redis, MySQL, DBT, Tableau, and Mode] preferred.
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The MSL l/ll-US will assist in the analysis and preparation of clinical trials data and registry data for abstract development and formal presentation either poster or oral as well as assist in the preparation of peer-reviewed manuscripts of scientific and medical data for publication.
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Experience/comfort in presenting abstract conceptsPreferred, not required:- Preferred experience with a statistical package such as R, MATLAB, SPSS, SAS, Stata, etc. Advanced proficiency in Python and Spark/Scala for classical statistical analysis and data modeling, machine learning and ETL processes.
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AIM OF THE POSITIONThe Medical Science Liaison l/ll (MSL )-US, works as member of a medical/scientific team. The MSL l/ll US identifies and develops relationships with key opinion leaders (KOLs) and highly accomplished physicians whose views on breast cancer treatment tend to influence other doctors.
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These projects include secondary analysis of clinical trial data from existing Medidata research archives and have a clear clinical focus and result in an abstract submission to a scientific meeting.
$32 - $37 an hourInternExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with reference management software (e.g., EndNote), biomedical abstract databases (e.g., PubMed), and data analysis software (e.g., SAS, SPSS) is strongly encouraged. Coordinates all aspects of large scientific initiatives, which may include groups of grantees, workgroups, writing teams, and data collection and analysis.
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5 or more years of experience executing data science projects involving advanced techniques (such as NLP, Generative AI, statistical analysis, predictive modeling, financial forecasting, data visualization, and machine learning) from beginning to end.
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Responsibilities may include designing, performing, or overseeing soil, soil vapor, groundwater, and surface water investigations, building teams of colleagues and subcontractors, coordinating and managing fieldwork logistics, data analysis and interpretation, technical report writing, and participating in meetings with clients and regulators.
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Through chemical, physical and structural analysis of materials, they improve everything from the energies that power us and the materials we build with, to the medicines that cure us and the foods we enjoy.
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Ability to apply mathematical operations to such tasks as frequency distribution, determination of test reliability and validity, analysis of variance, correlation techniques, sampling theory, and factor analysis.
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Conducts statistical data analysis and prepares statistical graphs and tables in preparation for research presentations, abstract and manuscript preparation or for other publications as requested by the Principal Investigator.
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Summary:Under the general supervision of the Principal Investigator(s) and Clinical Research Coordinator assist in acquisition and analysis of patient information for multiple clinical research projects.
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Coursework or inclination in research and teaching differential equations, numerical analysis, abstract algebra, probability, statistics, and data science. The Assistant/Associate Professor of Mathematics is a full-time, tenure track position in the Mathematics Program in the Department of Natural and Computational Sciences in the College of Arts and Sciences.
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