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. Job Description: Job Duties Lead the design, development, and implementation of novel machine learning and statistical algorithms to analyze "big" medical data. Develop and validate robust predictive
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, manuscripts, and grants, as well as the management of large clinical datasets. Job Description: Job Duties Outlined Research Overview: will perform research in the areas of data management and health outcomes
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for clinical data Conduct statistical and machine learning analyses on large, complex healthcare datasets Clean, transform, and prepare high-quality analytic datasets for research Build and validate predictive
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Experience: 5 years of related work experience, including business administration, research administration (e.g., managing extramural funding, coordinating large research projects, liaising with sponsors
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data analysis to support Area goals and objectives. Promote an approach of collaboration, continuous improvement, and service excellence within the organization. Review and approve appropriateness
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experience supporting senior leadership, including calendar and meeting coordination. Experience scheduling meetings with large or diverse participant groups. Prior administrative experience in an academic
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operations, and applied research and assessment. This includes strategic infrastructure planning for project, technology, and communication management, while also representing ZIEL operations related to data
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of relevant work experience. Experience using ERP financial and reporting systems to analyze data and make informed decisions. Experience with large, complex organizational settings. Big 4 public accounting
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Commercial Driver’s License (CDL), Class B, at the time of hire and throughout employment. Work Experience: One (1) year of experience driving large vehicles (45 feet or similar preferred). Preferred
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facilitates the use of technology to enable research, helping researchers to manage, process, and analyze their data. We use advanced data science methodologies on large-scale health data to push forward