You will join a small, highly specialised team responsible for the Elsevier Merged Medical Taxonomy (EMMeT) - the clinical knowledge backbone behind Elsevier’s search, AI, and clinical decision-support products
Job Summary
You will join a small, highly specialised team responsible for the Elsevier Merged Medical Taxonomy (EMMeT) - the clinical knowledge backbone behind Elsevier’s search, AI, and clinical decision-support products.
The role involves enhancing EMMeT to improve its application in search and discovery products and supporting clinical decision support initiatives.
Elsevier offers health care plans, modern family benefits, life assurance, pension plans, and promotes a healthy work/life balance with flexible working hours.
Matching Summary
You will join a small, highly specialised team responsible for the Elsevier Merged Medical Taxonomy (EMMeT) - the clinical knowledge backbone behind Elsevier’s search, AI, and clinical decision-support products.
Skills & Requirements
Must-have
ontology development and maintenance
medical vocabularies SNOMED CT and ICD-10
semantic capabilities and automation
clinical knowledge representation
Microsoft Windows proficiency
Nice-to-have
language proficiency in French or German
ontology management tools RDF and SPARQL
collaboration with clinical experts
support for localization and translation
problem-solving and prioritization skills
Key Requirements
Professional or advanced degree in biomedical science
Excellent English communication skills
Experience with clinical vocabularies and ontology modeling