108 coding-"https:" "https:" "https:" "https:" "https:" "https:" positions at The University of Chicago
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Summary The job leads and provides expertise to the development of programs for activities relating to software support and/or development. Analyzes, designs, develops, debugs, and modifies computer code
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assists with check-in of patients as indicated, utilizing the color-coded EHR process. Reviews and/or prepares required documentation associated with patient visits. Assists in performing a range of patient
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experience with physician billing required. Previous experience using electronic medical records (EMR) systems preferred. Previous experience with diagnosis and CPT coding terminology required. Previous
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to software support and/or development. Analyzes, designs, develops, debugs, and modifies computer code for end user applications, beta general releases, and production support. Guides development and
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practices for qualitative data collection. Develop interview guides and focus group protocols. Interview subjects. Code and analyze qualitative data. Write qualitative research reports and papers. Present
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documentation of code, workflows, and outputs, support interpretation and visualization of results for manuscripts, presentations, and grant applications. Coordinate scientific operations across multiple research
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. Supports with the writing of grant and policy reports and assists with drafting presentations of research findings. Takes responsibility for the following non-laboratory duties: transcribing and coding data
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facilitate the transmission of invoice records to the University’s Financial Services Office via the assignment of a valid Oracle code. Perform post-payment tasks related to invoice voucher and disbursement
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opportunities for technical improvement and performance optimization. Reviews and tests code to ensure appropriate standards are met. Utilizes technical knowledge of existing and emerging technologies, including
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in the project, coding and analyzing interview transcripts, and drafting qualitative results. Collects, cleans, and maintains datasets. Analyzes data with assistance and guidance from statisticians