Knowledge Architect

4 weeks ago

London, Greater London, United Kingdom Causaly Full time
About Causaly

Causaly is a pioneering company that accelerates knowledge acquisition and decision-making in biomedical science. Our cutting-edge generative AI platform enables researchers to discover evidence from millions of academic publications, clinical trials, regulatory documents, patents, and other data sources in minutes.

We collaborate with leading biopharma companies and institutions on projects spanning Drug Discovery, Safety, and Competitive Intelligence. For more information on our work, visit our blog: Causaly Blog.

Job Overview

We are seeking a skilled Knowledge Engineer to join our Data & Semantic Technologies team. As a Knowledge Engineer, you will design and build the highly scalable and flexible data fabric essential for realizing Causaly's vision. You will work closely with domain experts to link domain semantics with engineering, model data and knowledge, analyze and explore data, and develop production-grade software for processing, cleaning, and integrating data and knowledge resources.

Key Responsibilities

- Work on exciting business problems requiring the creation, integration, maintenance, and management of data and knowledge resources
- Link domain semantics with engineering, working closely with domain experts on topics like knowledge representation and integration
- Collaborate with other engineers on production data pipelines, focusing on data modeling, algorithms, statistics, and analytics for quality assessment and refinement, document lifecycles, and semantics for search
- Contribute to driving our semantics agenda, particularly along the lines of ontology management, semantics for GenAI, and our knowledge graph
- Explore, develop, and debug in the context of rapid PoCs
- Adopt data extractions with the help of LLMs in our pipelines, in collaboration with NLP and ML engineers

Requirements

- Proven experience in data and/or knowledge engineering roles with hands-on contributions to modeling, managing, analyzing, and integrating data
- Strong engineering background enabling rapid progression from ideation 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, organizational skills, high attention to detail, and quality

Preferred Qualifications

- 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)

What We Offer

- 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

Join Our Mission

We are on a mission to accelerate scientific breakthroughs for ALL humankind. We are proud to be an equal opportunity employer and welcome applications from all backgrounds. We 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.

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