Data Science Engineer

About us

Causaly accelerates how humans acquire knowledge and develop insights in Biomedicine. We enable researchers and decision-makers to discover evidence from millions of academic publications, clinical trials, regulatory documents, patents and other data sources... in minutes. Using our AI technology, we are developing the world’s biggest knowledge platform in Biomedicine powered by a high-precision knowledge graph.

We work with some of the world's largest biopharma companies and institutions on use cases spanning Drug Discovery, Safety and Competitive Intelligence. For example, read how Causaly is used in Target Identification here: AI-supported-target-identification-for-systemic-lupus-erythematosus. We are backed by top VCs including Index Ventures, Pentech and Marathon

Requirements

What we are looking for

We are looking for Engineers with background and expertise in all things data. That starts from data modelling, processing, and cleaning, goes over analysing and enriching data, to the semantic work of a Knowledge Engineer. In this role you will be part of the newly established Data & Semantic Technologies team. This team is responsible for designing & building the highly scalable and flexible data backend that we at Causaly need to make our vision become real. You will be working on data models, integration of new data sources and knowledge assets, our knowledge graph, our data stores, etc. Doing all the magic with data and semantics that matter for us. You will enable & empower the Applied AI and Application 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!

Sneak preview on what you can expect to work on

• Work on exciting business problems requiring the creation, integration, maintenance, and management of data & accompanying ontologies
• Work directly with a multitude of technical, product and business stakeholders.
• Build and industrialise our data pipelines together with other great engineers.
• Work on core aspects of search and knowledge modelling.
• Be responsible for designing and implementing Causaly’s data models and schemas, contribute to our database stack and management.

What we expect

Successful candidates should have:

• Master’s degree in Computer Science, Mathematics or a related technical field
• Proven experience in data and/or knowledge engineering roles with hands-on contributions to modelling and managing of data

• Strong engineering background enabling rapid PoC development as well as productionised modelling and scripting
• Experience with state-of-the-art techniques and methodologies for data modelling, analysis, integration, representation and linking
• A product and user-centric mindset
• Proven problem solving and project execution skills, sense of ownership, organisational skills, high attention to detail and quality
• Proficiency in Python, test-driven development

• Knowledge of or interest in biomedicine

You have something additional to bring to the table? Such as experiences with modern software development practices (testing, version control, documentation, software design patterns, etc…), cloud infrastructures, knowledge of DB query design and optimization, NoSQL, big data and graph technologies (RDF, OWL, SPARQL, Neo4j, Cypher), experiences with biomedical ontologies design and integration? Any of these will be considered a plus.

You and your skills can make a real difference, to pave the way from integrating data over creating knowledge to enabling wisdom!

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.