Semantic Data Integration Expert - Basel, Schweiz - Datalynx AG

Datalynx AG

Geprüftes Unternehmen

Basel, Schweiz

vor 3 Wochen

Geschrieben von:

Lena Schneider

beBee Recruiter

For our client, a well-known pharmaceutical company in Basel, we are looking for an experienced Semantic Data Integration Expert (M/F/d).

Background:

General Information:

- latest

Start Date:

Home Office:
possible but at least one time onsite week is a must

Tasks & Responsibilities:

Collaborate with various product teams to shape the development and integration of semantic data models into the RIS product portfolio and FAIR (findable, accessible, interoperable, reusable) data services
Interface with teams working on semantic technologies to establish interoperability standards for our devices and digital products adhering to FAIR principles
Collaborate with various teams to investigate innovative new methods to generate new insights from knowledge graphs and how to incorporate them into the our Information Solutions product portfolio
Drive and constantly improve the adoption and integration of major public terminological resources as well as RIS internal terminologies
Engage with internal key customers to understand business needs and to supply highquality data standards for knowledge representation
Support the automation of terminology processing pipelines and implement intelligent processes for quality assurance
Innovate and bring forward creative solutions in your area of responsibility and beyond.
Participate in precompetitive initiatives to drive the implementation of FAIR data in the diagnostics and pharma industry

Must Haves:

University Degree in Data Science / Engineering related fields, preferably PhD degree (such as Computer Science, Engineering, Mathematics, Statistics, Bioinformatics or similar areas of academic discipline)
Work experience of minimum 3 years with data interoperability preferably in the pharmaceutical / medical device environment (experience in diagnostics is a plus)
Background in semantic technologies, knowledge graphs, data standards and terminologies/ontologies (such as RDF, SPARQL as well as data models in healthcare such as FHIR, SNOMED or LOINC)
Very good knowledge in data management approaches such as relational databases and knowledge graphs
Working knowledge of at least one generalpurpose programming language (such as Python, Java, or R)
Very good communication and presentation skills
Fluency in English

Nice to haves
**- Former pharma experience

Contact:

Jan Schmitz-Elsen
Talent Acquisition Consultant