The Data Science Institute, in collaboration with the Department of Physiology, at the Medical College of Wisconsin seeks a highly motivated Research Scientist to join a collaborative research team focused on ontology and data curation for diverse research communities. This role supports the Hogan Laboratory in the Data Science Institute and the Rat Genome Database in the Department of Physiology by developing, maintaining, enhancing, and implementing biomedical ontologies in various software, annotation, and data management applications. The incumbent will gain experience in the theory and practice of biomedical, health, and behavioral ontologies, including advanced ontology development workflows. The incumbent will also extract relevant information from published journal articles, research laboratories, and databases and integrate this information with existing data. A key project is the Advancing Prevention Research in Cancer through Ontology Tools (APRICOT) Project funded by the US National Institutes of Health (NIH), working with behavioral scientists and ontologists across three other European sites. This project is developing ontologies and associated tools and resources to be used in reporting behavior research. This position will work on the development of the Ontology for Modeling and Representation of Social Entities (OMRSE) and its interoperability with the Behaviour Change Intervention Ontology (BCIO). The position also is an integral team member of the Rat Genome Database (RGD). RGD is the dedicated NIH-funded knowledgebase for the laboratory rat, along with human and several mammalian disease models; RGD curates multiple genomic data types, comprehensive disease and phenotype annotations, and develops novel tools to effectively mine, analyze and visualize the available data. The incumbent will independently conduct data curation including data acquisition, ontology development, and analysis for research projects whose focus is to provide comprehensive disease, clinical and physiological data to diverse research communities. They will work with technical team members on the development of data analytic tools and pipelines, as well as provide input into database and user interface design.
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Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree