Research Scientist in LLMs for Scientific Data Exploration

Research Scientist in LLMs for Scientific Data Exploration

SIB - Swiss Institute of Bioinformatics

Zurich, Switzerland

Job description

Reporting to a Team Lead at the Knowledge Representation Unit, the successful candidate will play an important role in shaping key scientific projects within this Unit, as part of a team of researchers and software engineers. Additionally, the applicant will contribute to publications in top-tier journals and conferences in the field, as well as defining research directions for the future of the Unit.

The main activities will be:

• To build upon state-of-the-art Large Language Models for developing innovative question answering systems over scientific data sources available as Knowledge Graphs;
• To leverage LLMs for Knowledge Graph construction (e.g., triple extraction from unstructured data);
• To contribute to the implementation of a system for generating SPARQL queries from scientific questions;
• To work on data harmonisation, create data schemas and perform data modelling using Semantic Web Technologies when appropriate;
• To build and maintain knowledge graphs based on the created or adopted data schema;
• To be able to negotiate and coordinate domain experts in life sciences to find an agreement for accurately defining domain-specific semantic models;
• Publish and present the resulting work as peer-reviewed articles at conferences and scientific journals;
• The position is temporary for 3 years, with the possibility of extension.

Profile requirements

• PhD degree in computer science or in a related field with maximum 5 years of relevant experience;
• Hands-on experience using and fine-tuning Large Language Models;
• Experience in Applied Machine Learning and LLMs to generate structured queries (e.g., SPARQL) would be a significant plus;
• Semantic Web Technologies’ expertise (e.g., RDF, RDFS, OWL, SPARQL, SHACL);
• Familiarity with ontology engineering best practices and natural language processing would be a plus;
• Software development (e.g., Python, Rust, Java, version control with Git);
• Experience with life science datasets (including biomedical data) is a plus;
• Proven ability to carry out independent research and software development;
• Excellent oral and written communication skills;
• Track record of publications in top-tier conferences and journals;
• Openness to working in a highly interdisciplinary and dynamic environment;
• Multi-tasking, openness to working on multiple projects with similar responsibilities;
• Proficiency in English is required. Speaking German is a plus but not mandatory.

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