33 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" positions at Johns Hopkins University
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, questionnaires, and coding structures, for the efficient collection of data. Oversee data collection and validation. Oversee quality control of study data. Lead study meetings to examine data, determine next steps
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specifications and designs, produces all or part of the deliverables. Maintains databases and application system code. Responsible for full life cycle of medium to large sized complex projects; strong technical
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designs. Using functional specifications and designs, produces all or part of the deliverables. Maintains databases and application system code. Responsible for the full life cycle of medium to large-sized
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submission. Prepares for, and/or participates in audits Apply expert knowledge of Office of Management and Budget (OMB) Code of Federal Regulations (CFRs) and Federal Acquisition Regulation (FAR) regulations
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of manuals, questionnaires, and coding structures, for the efficient collection of data. Organize and quality control study data. Oversee data collection at single site or at multiple sites of a multi-centered
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Director for Learning Design and Innovation, this position combines user-centered design expertise with frontend code implementation across multiple web-based educational technology projects. The ideal
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the budget. Responsible for finance-related issues. Ensure the development, testing and evaluation of manuals, questionnaires, and coding structures, for the efficient collection of data. Oversee data
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referrals and increase accruals to clinical trials. Participate in the development, testing, and evaluation of manuals, questionnaires, and coding structures for the efficient collection of data. Organize and
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with charge corrections and other minor coding issues. Stay abreast of insurance guidelines (attending webinars and providing updates from websites) Minimum Qualifications Bachelor's Degree Three years
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of emerging technologies-new GPU platforms, distributed compute frameworks, data processing engines-into production environments. Establish coding standards, documentation practices, and reproducibility