Renaissance Computing Institute (RENCI) is looking for a Research Data Architect to support and promote data interoperability, contribute to the development of informatics tools and the analysis of complex data sets. This position primarily supports biomedical and environmental research projects.
The Research Data Architect will work with colleagues with expertise in data analytics, advanced computing including cloud computing systems, software engineering and domain expertise in the biomedical and environmental sciences.. The Research Data Architect will work in interdisciplinary teams, promoting innovation and collaboration.
Responsibilities: - Work with colleagues to develop tools and methods to enhance data interoperability - Collaborate with software engineers and researchers to help design data systems to advance scientific discovery - Manage a data contribution forecasting and tracking system to allow effective resource allocation across consortia that support data sharing - Provide leadership in metadata analysis and standards, as well as knowledge representation - Contribute to interdisciplinary teams; be a team player - Train data contributors on the application of data standards and relevant tools - Contribute to proposals and business development efforts
Education and Experience:
BS in Computer Science, Information Science, Bioinformatics or related discipline and 6 years of experience or an MS and 3 years of experience.
- Map-reduce based computation models like Spark. - Search engine elements like Elasticsearch and dense vectors. - Biological knowledge graphs and semantic web technologies. - Analysis of omics data, including sequence assembly and analysis, and/ or phenotype data analysis.
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