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delivers analytical solutions using programming, data mining, statistics, machine-learning, and visualization techniques. Responsibilities include querying databases, data processing, supervised and
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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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, 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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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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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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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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Ph.D. program. Strong programming skills (MATLAB, Python or C/C++) and/or statistical skills (R or STATA). Experience with deep-learning software (Pytorch and TensorFlow) and HPC analysis pipelines
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Ph.D. program. Strong programming skills (MATLAB, Python or C/C++) and/or statistical skills (R or STATA). Experience with deep-learning software (Pytorch and TensorFlow) and HPC analysis pipelines
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Wide Web, statistical packages, and graphics packages to assemble, manipulate and/or format data and/or test reports. Educational Requirements: Bachelor of Science/Bachelor of Arts, or equivalent, in biological sciences