Knowledge Engineer

About us:

Founded in 2018, Causaly accelerates how humans acquire knowledge and develop insights in biomedical science. Our production-grade generative AI platform for research insights and knowledge automation enables thousands of scientists to discover evidence from millions of academic publications, clinical trials, regulatory documents, patents and other data sources... in minutes.

We work with some of the world's largest biopharma companies and institutions on use cases spanning Drug Discovery, Safety and Competitive Intelligence. You can read more about how we accelerate knowledge acquisition and improve decision making in our blog posts here: Blog - Causaly

We are backed by top VCs including ICONIQ, Index Ventures, Pentech and Marathon.

What we are looking for:

We are looking for Knowledge Engineers with background and expertise in all things data. Knowledge Engineers bridge the gap between domain semantics and engineering. This spans from modelling data and knowledge, over analysing and exploring all sorts of data, to designing complex algorithms and developing production-grade software for processing, cleaning, integrating data & knowledge resources. You will be part of the Data & Semantic Technologies team, responsible for designing and building the highly scalable and flexible data fabric essential for realising Causaly’s vision. You will enable and empower other engineering teams and create true business value by linking their outcomes.

Successful candidates are capable, talented, engaged and passionate about creating industry-strength architectures and solutions that unleash the value of data. We are a multi-disciplinary team working in a fast-paced and collaborative environment, who value honest opinion and open debate. You have a strong problem-solving mind-set with a hands-on attitude, you are keen to design and build innovative solutions that leverage the value of data, you are passionate and creative in your work, you love to share ideas with your team and can pick the right tool for the job? Then you should become part of our journey!

What you can expect to work on:

• Work on exciting business problems requiring the creation, integration, maintenance, and management of data & knowledge resources
• Link domain semantics with engineering, working closely with our domain experts on topics like knowledge representation and integration
• Work with other engineers on production data-pipelines, with a focus on data modelling, algorithms, stats and analytics for quality assessment & refinement, document lifecycles, semantics for search
• Contribute to drive our semantics agenda, particularly along the lines of ontology management, semantics for GenAI, and our knowledge graph
• Explore, develop, debug in the context of rapid PoCs
• Adopt data extractions with the help of LLMs in our pipelines, in collaboration with NLP & ML engineers
• Work directly with a multitude of technical, product and business stakeholders