Senior Semantic Specialist
Posted on Apr 29, 2021 by Coopers Group GmbH
For our Pharma Client in Basel, we are looking for an Senior Semantic Specialist
The company has taken a strategic effort across functions and sites to improve data quality and to make data FAIR (findable, accessible, interoperable and reusable). The team consists scientists, knowledge engineers, data curators and informaticians driving the development of standards and their roll-out in the Research and Development organization.
We are looking for a new team member to help to enhance the semantic platform for terminology and metadata management. The enhancements will include extensions of the semantic model and the regular processing of various semantic key resources for content enrichment of the terminologies. These resources are used to support a variety of use cases such as data capture, data curation, text mining or semantic search.
The Senior Semantic Specialist will support the Data Harmonization Service team to extend the range and coverage of data standards across the organization.
Collaborate with the Data Harmonization Service team to shape the further development and integration of our modelling service into the landscape of FAIR data and applications
Implement and constantly improve the acquisition and integration of major public terminological resources
Interface with teams working on semantic technologies to build a knowledge graph with FAIR data
Engage with key customers of the Data Harmonization Service to supply high-quality and current semantic models using standards for knowledge representation and the content
Background in Biology, Computer Science, Bioinformatics, Medical Informatics or related degree programs (MSc or PhD) and a good understanding in at least one of the following domains: biology, medicine or chemistry.
Excellent understanding of the Semantic Technology stack including triple stores, graph databases and semantic frameworks (eg JENA, RDF4J)
Working experience with ontology tools like Topbraid Composer or Protégé and strong capability to write SPARQL queries
Very good programming skills in JAVA and Python
Deep knowledge about RDF, RDFS, OWL and related vocabularies for knowledge representation such as SKOS, SKOS-XL, Dublin Core, PROV-O. Familiarity with REST APIs, their usage, eg via CURL, as well as with JSON/JSON-LD
Good knowledge about key semantic resources in the life sciences and data standards, including some of the following: Ontology Lookup Service, Bioportal, NCIt, ICD-10, MedDRA, SNOMED, CDISC, Allotrope, OHDSI etc.
Good understanding of data and information architecture
R is a plus