WebMD Ignite, a division of WebMD and Internet Brands, is the growth partner for healthcare organizations. We guide people to better health at all stages of their journey, from discovery to recovery. Our combination of leading brands in the industry—including WebMD, Medscape, Krames, PulsePoint, Vitals, The Wellness Network, Mercury Healthcare, and Healthwise—offers comprehensive solutions that engage individuals with timely, relevant messaging that optimizes experiences and outcomes, driving loyalty and lifetime value for our clients. Learn more at WebMDIgnite.com.
JOB SUMMARY:
As a member of the Knowledge Engineering (KE) team, the Ontology Engineer manages the schemas and structures of WebMD Ignite’s foundational taxonomies and ontologies. The Ontology Engineer is responsible for making and integrating our taxonomies and metadata schemas, for managing the team’s taxonomy management software, and for providing the team with technical expertise to extract and transform data into RDF and other formats. The role is on product management and works closely with integration and search engineering teams. The ontologist is a team player, an excellent communicator, and passionate about supporting patients and consumers along their healthcare journeys.
RESPONSIBILITIES :
Creates, manages, and integrates WebMD Ignite information models, such as taxonomies and ontologies, and helps operationalize these models for use in WebMD Ignite products and solutions.Ensures that information structures and systems support current and future product and content needs. This entails working closely with taxonomy and search strategist, the knowledge engineering manager, many product managers, integration engineers, search engineers, and sometimes clients. As needed, partners with product designers and user experience researchers to test and implement information structures in user interfaces.Acts as a power user and backup administrator for WebMD Ignite’s taxonomy and ontology management system. Works closely with system administrator and KE team members to coordinate software updates, optimize performance, maintain and clean up data, build and implement new features, and troubleshoot application errors.Partners with engineering teams to integrate our ontology management systems, update our internal data and structures with the UMLS, extract and transform data into RDF and other formats, and to work on other projects as needed. Leads special projects, including custom SPARQL/GraphQL reports, data cleanup and optimization projects, data mapping, and medical code set integration.Documents best practices and processes for managing taxonomies and metadata.Trains and mentors KE team members and others in the organization on taxonomy/ontology engineering and information modeling.QUALIFICATIONS:
Master’s in Library Science, Information Science, Computer Science, Computational Linguistics, or related field2+ years experience working in taxonomy/ontology engineering and semantic modeling.In-depth understanding of semantic web standards and technologies including RDF, OWL, SKOS, SPARQL, GraphQL, and SHACL.Ability to write complex queries in SPARQL, GraphQL, and/or SQL.Direct knowledge of the UMLS and associated taxonomies such as SNOMEDCT, ICD-10, RxNorm, CPT, and LOINC is a significant plus.Experience administering a taxonomy management system, such as TopBraid EDG.Relevant experience in the healthcare industry is a plus.Demonstrated ability to work in a team environment.Very strong social and communication skills . Ability to present ideas clearly and with confidence across diverse settings and groups in the organization.All offers are contingent upon the successful completion of a background check.To perform this job successfully, an individual must be able to perform the essential functions satisfactorily with or without reasonable accommodation.