Category

Description

• • Develops a prototype ontology/taxonomy for USP compendial science Defines scope and business requirements for the prototype
  • Identifies existing ontologies/ taxonomies, data stores, and query tools for potential use in skill-seeker
  • Describes high-level functional architecture including sources of input data, storage mechanism, data query, and results visualization
  • Integrates ontologies/taxonomies into a skill-seeker prototype demonstrating key functionality such as input, storage, retrieval, analysis, visualization
  • Builds skill-seeker prototype
  • BS with 2 years of relevant experience in computer or data science; or MS. Relevant fields of study include data / computer science, linguistics, library information science, chemistry, biology, biochemistry, or pharmacy.

• • BS with 2 years of relevant experience in computer or data science; or MS. Relevant fields of study include data / computer science, linguistics, library information science, chemistry, biology, biochemistry, or pharmacy.

• Experience in the storage and retrieval of scientific data elements
• Experience utilizing current web standards (e.g., foundational technologies for Web 3.0 / the semantic web), including both front- and back-end technologies
• Experience in usage of data models and classifications
• Experience developing databases, ontologies, user interfaces, with a desire to become proficient in all
• Demonstrated ability to quickly become competent in technical IT areas
• Familiarity with vocabulary standards, e.g., RxNorm, LOINC, UNII codes Results driven with demonstrated successful outcomes
• Possesses attention to details in documentation
• Strong interpersonal skills with ability to effectively communicate outputs to both lay and technical audiences
• Experience with planning, tracking and performance management of programs/ initiatives
• Excellent written, oral and presentation skills

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