28 coding-"https:"-"Prof"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "https:" positions at Johns Hopkins University
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) Provides technical analysis of research software projects, covering code quality, architecture, infrastructure needs, sustainability considerations, and alignment with best practices Documents and creates
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, particularly descriptions of statistical methods and interpretation of results. Document decision making during conduct of studies and archive code for purposes of reproducibility of research findings. Navigate
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timeframe. The Data Scientist I will support the management of complex databases as well as develop, maintain, and document code. The Data Scientist will collect and extract data using a variety of data
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labor and material estimates. Maintains employee time and attendance records and ensures accurate reporting. Ensures compliance with safety regulations, codes, standards, and University policies
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of volunteer pipelines. In close partnership with the Office of Advancement Services, develop and maintain guidelines, documentation, and resources for volunteer coding and reporting in JHAS. Advise divisional
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resources for volunteer coding and reporting in JHAS. Advise divisional offices on JHAS-related best practices for volunteers; provide training, guidance, and leadership in ensuring accurate data. Manage the
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research paper. Responsible to abide by all JHU policies including, but not limited to, code of conduct, ethics, housing, substance use, and Title IX as well as DSIP’s policies. Minimum Qualifications High
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in computational biology and code-based analysis platforms. Classified Title: Research Technologist Role/Level/Range: ACRO40/E/02/CC Starting Salary Range: $15.70 - $26.25 HRLY ($36,000 targeted
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activities, systems, and processes to increase referrals and increase accruals to clinical trials. Ensure the development, testing, and evaluation of manuals, questionnaires, and coding structures
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. Ensure the development, testing and evaluation of manuals, questionnaires, and coding structures, for the efficient collection of data. Oversee data collection and validation. Oversee quality control