Semantic Data Integration Expert

Semantic Data Integration Expert

Experis is the global leader in professional resourcing and project-based workforce solutions.

On behalf of our client a leading Pharmaceutical company in Basel, we are lookign for a Semantic Data Integration Expert.

The perfect candidate:
The perfect candidate has a University Degree in Data Science / Engineering and at least 3 years of experience of working with data interoperability preferably in the pharmaceutical / medical device environment. We are looking for a motivated and self driven individual who is ready to work on-site at least one time a week.

General Information:
* Start date: asap
* latest Start Date: 1.8.2023
* End date: 1 year
* Extension: possible
* Workplace: Basel
* Workload: 100%
* Remote/Home Office:possible with some onsite work per week

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 Roche 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 Roche 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 high-quality 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 pre-competitive 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 general-purpose programming language (such as Python, Java, or R)
• Strong collaboration skills
• Working independently
• Ability to work in changing, agile, multinational and multiple location environment
• Very good communication and presentation skills
• Fluency in English

Interested in this opportunity? Kindly send us your CV today through the link in the advert. However, should you have any questions please contact Elaine Kanwar at +41 61 282 22 23