Knowledge Engineer

Causaly, founded in 2018, is revolutionizing biomedical science with its generative AI platform. We're seeking a Knowledge Engineer to join our Data & Semantic Technologies team. You'll bridge domain semantics and engineering, working on data modeling, algorithm design, and software development for processing and integrating knowledge resources.

Key responsibilities include:

• Creating and managing data & knowledge resources
• Collaborating with domain experts on knowledge representation
• Developing data pipelines focusing on modeling, algorithms, and analytics
• Driving our semantics agenda, including ontology management and knowledge graph development
• Exploring and developing rapid proofs of concept
• Integrating LLMs into our pipelines
• Working with various stakeholders across technical, product, and business teams

We offer a competitive package including private medical insurance, life insurance, training budget, wellbeing budget, and 25 days holiday plus public holidays. We value diversity and inclusion, welcoming applications from all backgrounds.

Join us in our mission to accelerate scientific breakthroughs for all humankind. If you're passionate about data, have strong problem-solving skills, and want to make a real impact in a fast-paced, collaborative environment, we want to hear from you!