Data Scientist (Computational Genomics)

The Smithsonian Institution is the world's largest museum, education, and research complex, with 21 museums and the National Zoo. The National Museum of Natural History (NMNH) is a major bureau of the Smithsonian Institution that is responsible for the acquisition, curation, and preservation of collections of objects and specimens of natural history, which tells the history of the planet and a record of human interaction with the environment and one another.

The Data Scientist will apply advanced bioinformatics and computational methods to largescale biodiversity genomics datasets; develop and implement analytical workflows, statistical models, and data-driven solutions; provide expertise in data science, bioinformatics, and computational analysis to support the (IDSC); and serve as a liaison to the Smithsonian's Laboratories of Analytical Biology community on matters related to data integration, analysis, and informatics. In this position, you will: Serve as a recognized subject matter expert in data science, genomic data integration and interoperability, operations research, and data management and analytics and/or visualization. Conduct and oversee research and analysis of bioinformatics projects in the analyses of genomic, transcriptomic, metagenomic and NGS (Next Generation Sequencing) or other genomic datasets. Use mastery of data science, data management and data analytics and/or visualization technologies and principles. Provides informal and formal bioinformatics and genomic training for genomics community via workshops, carpentries, seminars or short courses. Produce publicly accessible training videos, instructs on the mechanics of how to conduct genomic analyses. Use an advanced knowledge of programming languages and analytical approaches to analyze data sets consisting of qualitative, quantitative, structured and unstructured data types.

Conditions of Employment Qualification requirements must be met by the closing date of the announcement. For information on qualification requirements, see Qualification Standards Handbook for General Schedule Positions on OPM website.