Mots-Clés
Semantic Web
RDF
SPARQL
Ontologies
Standards
FAIR
health-related data
Description
Job description
To leverage the potential of health-related data for better disease prevention, improved medical practice and ground-breaking innovative treatments, transdisciplinary scientific research, as well as specific infrastructural efforts are necessary. With the overall goal of the Swiss Personalized Health Network (SPHN) initiative to make health-data FAIR (findable, accessible, interoperable, and re-usable) and foster use and exchange of health data for research, the SIB’s Personalized Health Informatics Group is setting up infrastructures and innovative solutions to facilitate data analysis. The PHI Group is at the core of the geographically dispersed partners in Swiss hospitals, research- and support institutions.
Job tasks
- Lead the design, development and implementation of an eco-system within SPHN to use semantic graph technologies for organizing data, encompassing terminology service, SPARQL endpoints, tool-stack for ontology representation and visualization, etc.;
- Contribute to the design, development, and implementation of the SPHN knowledge graph including semantic data annotation and re-use of ontologies and standards;
- Provide consultation and support for data-providers and researchers in the SPHN context;
- Closely collaborate with SPHN and related stakeholders with regard to the implementation of Semantic Web Technologies in Switzerland;
- Write documentation, develop and provide tutorials and trainings.
In return for your work, the SIB offers a flexible, dynamic working environment, opportunities for personal and professional development, and a good work-life balance. The working place is in Basel (in close proximity to the SBB station). More information about the PHI Group and its activities is available at:
Profile requirements
You have a Master’s degree with at least 3-5 years of relevant work experience or a PhD in Computer Science, Informatics, Bioinformatics or equivalent and additional work experience in a relevant field.
You have a solid understanding of Semantic Web Technologies, such as RDF, SPARQL, OWL and related tools, such as GraphDB, WebProtégé, Fuseki or others. You have previous experience in graph (data) analytics and inferencing. Ideally you have worked with clinical data related standards and ontologies such as LOINC or SNOMED CT. You have proven experience in at least one programming language (preferably Python) interacting with Semantic Web Technologies (RDFlib, pyLODE).
You have demonstrable experience in project management in the healthcare, pharmaceutical or academic life-science setting. Experience in setting up a graph-based ecosystem is essential. You are familiar using CI/CD and container infrastructures.
A collaborative spirit and a supportive, solution-oriented attitude is key to succeed in this role. Strong problem-solving skills are among your strengths. You are a self-starter and can work semi-independently, while also being an excellent team player. You are flexible and adaptable, and able to cope well with new challenges and moving targets. Outstanding written and verbal communication skills are expected in English (working language). Knowledge of a Swiss national language (German and/or French) is a plus.
This position may involve regular travel within Switzerland. There is some flexibility in the start date. Please get in touch for more information (
Michael.Mueller@sib.swiss).
How to apply
SIB is committed to ensuring and fostering diversity and equal opportunities in the workplace as well as in the scientific ecosystem. If you are interested in this challenging and highly interesting position, please submit your application including CV and letter of motivation through our online portal by clicking the "Apply" button at the bottom of this page: https://apply.refline.ch/499599/0189/pub/1/index.html.
Candidature
Procédure :
Date limite : None
Contacts
Michael Mueller-Breckenridge
MiNOSPAMchael.Mueller@sib.swiss
https://apply.refline.ch/499599/0189/pub/1/index.html
