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in a research environment is highly preferred. Background and work knowledge in algorithms, scientific computing, and machine learning or statistics is preferred. Proficiency with C/C++, Java, Perl
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intelligence, and statistical methodologies targeting a variety of domains and data types within biomedical research. Emphasis is placed on developing methods that are interpretable/explainable, scalable to ‘big
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Job Summary: Key Job Responsibilities The Research Data Scientist participates in biomedical research projects using programming, data -mining, statistics, machine -learning, and visualization
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, maintaining record systems, and producing project reports for studies. In addition, may train clinical research staff, perform basic statistical analysis, and work with bioinformatics to develop and maintain
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with other employees and/or supervisors. May perform basic statistical analysis in conjunction with a biostatistician. Manages data for research studies. Performs clinical data collection/abstraction
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. Experience: Experience in clinical research, data entry, database management, literature review, or statistical analysis a plus but not required. Computer skills (Microsoft Word, Excel, Internet applications
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data records. Uses various software applications, such as spreadsheets, electronic mail, World Wide Web, statistical packages, and graphics packages to assemble, manipulate and/or format data and/or test
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statistics and reports relating to patient outcomes and document findings in the patients EMR Follows up on communication to the referral source, IE, PCP, family member, case manager, home health personnel
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, mathematical, and statistical procedures throughout the training period. As a Postdoctoral Scientist you may develop, adapt, and implement new techniques, algorithms, analysis pipelines, and software, as
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project reports for studies. In addition, may supervise clinical research staff or clinical data managers, perform complex statistical analysis, and work with bioinformatics to develop and maintain trial