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 Requirements Minimum Requirements Successful candidates will have: Proven experience in data and/or knowledge engineering roles with hands-on contributions to modelling, managing, analysing, and integrating data Strong engineering background enabling rapid progression from ideation over proof-of-concept to production code Proficiency in Python and Git Ability to debug and test code output, happy to participate in running and improving existing processes Knowledge of or interest in the biomedical domain Strong technical communication skills A product and user-centric mindset Proven problem solving and project execution skills, sense of ownership, organisational skills, high attention to detail and quality Preferred Qualifications Any experience of the following will be considered a plus: Industry experience Experience with modern software development practices (testing, version control, documentation, software design patterns, etc.) Knowledge of database query design and optimization Familiarity with graph and semantic technologies (Neo4j, RDF, OWL, SPARQL) Experience with biomedical ontologies design and integration Experience with cloud infrastructures (GCP preferred) Benefits Competitive compensation package Private medical insurance (underwritten on a medical health disregarded basis) Life insurance (4 x salary) Individual training/development budget through Learnerbly Individual wellbeing budget through Juno 25 days holiday plus public holidays and 1 day birthday leave per year Hybrid working (home office) Potential to have real impact and accelerated career growth as an early member of a multinational team that's building a transformative knowledge product Be yourself at Causaly Difference is valued. Everyone belongs. Diversity. Equity. Inclusion. They are more than words at Causaly. It's how we work together. It's how we build teams. It's how we grow leaders. It's what we nurture and celebrate. It's what helps us innovate. It's what helps us connect with the customers and communities we serve. We are on a mission to accelerate scientific breakthroughs for ALL humankind, and we are proud to be an equal opportunity employer. We welcome applications from all backgrounds and fairly consider qualified candidates without regard to race, ethnic or national origin, gender, gender identity or expression, sexual orientation, disability, neurodiversity, genetics, age, religion or belief, marital/civil partnership status, domestic / family status, veteran status or any other difference.
