Founded in 2018, Causaly accelerates biomedical knowledge acquisition through generative AI, serving major biopharma companies for drug discovery and research.

Founded in 2018, Causaly is revolutionizing biomedical research through their production-grade generative AI platform. The company enables scientists to discover evidence from millions of academic publications, clinical trials, and other data sources in minutes. As a Senior Data Platform Engineer, you'll join the Data & Semantic Technologies team, working on scalable data pipelines and knowledge graphs that power their AI platform. The role involves building and maintaining data infrastructure that supports batch and targeted updates, managing massive knowledge graphs, and maintaining data warehouses. You'll work in a fast-paced, collaborative environment with a multi-disciplinary team, directly impacting how scientific knowledge is discovered and processed. The company is backed by top VCs including ICONIQ, Index Ventures, Pentech and Marathon, and serves major biopharma companies in drug discovery, safety, and competitive intelligence. They offer a competitive package, hybrid working model, and strong emphasis on professional development. The role requires expertise in Python, SQL, and data pipeline development, with opportunities to work with cutting-edge technologies in AI and big data.

Senior Data Platform Engineer role at Causaly, building scalable data pipelines and knowledge graphs for biomedical AI platform, 5+ years experience required.

Senior Data Platform Engineer

Founded in 2018, Causaly accelerates biomedical knowledge acquisition through generative AI, helping scientists discover evidence from academic publications and clinical trials.

Causaly, founded in 2018, is at the forefront of revolutionizing biomedical knowledge acquisition through their cutting-edge generative AI platform. As a Senior Software Engineer in their London office, you'll be integral to developing and maintaining the API and business services that power their platform, which helps scientists discover evidence from millions of academic publications and clinical trials in minutes.

The role demands a strong backend development background with at least 4 years of experience, focusing on technologies like Node.js, TypeScript, and React. You'll be working in a hybrid environment, collaborating with product and research teams to build scalable, reliable web applications that contribute to accelerating scientific breakthroughs.

Causaly offers an attractive benefits package including private medical insurance, life insurance, and dedicated budgets for personal development and wellbeing. The company is backed by prestigious VCs including ICONIQ, Index Ventures, Pentech and Marathon, indicating strong growth potential.

This position is perfect for someone who wants to combine technical expertise with meaningful impact in the healthcare and AI sectors. You'll be joining a diverse, inclusive team that values innovation and is committed to transforming how humans acquire and process biomedical knowledge. The hybrid working model offers flexibility while maintaining collaborative opportunities in their London office.

Working at Causaly means being part of a mission to accelerate scientific breakthroughs for all humankind, with real opportunities for career growth in a rapidly evolving field. The company's strong commitment to diversity and inclusion ensures a welcoming environment where different perspectives are valued and celebrated.

Senior Software Engineer position at Causaly, working on AI-powered biomedical knowledge platform, requiring 4+ years of backend experience.

Senior Software Engineer (London)

Causaly accelerates knowledge acquisition and improves decision making in Biomedicine using AI technology to develop the world's biggest knowledge platform powered by a high-precision Knowledge Graph.

Causaly, founded in 2018, is revolutionizing knowledge acquisition in Biomedicine. We're developing the world's largest knowledge platform in Biomedicine, powered by AI and a high-precision Knowledge Graph. Our technology enables researchers and decision-makers to discover evidence from millions of academic publications, clinical trials, regulatory documents, and patents in minutes.

We're seeking a Staff Fullstack Engineer to work on our API and business services. In this role, you'll be responsible for designing and building scalable, reliable, and maintainable web applications. You'll collaborate with our product and research teams to develop and ship new features, contributing to all aspects of the development lifecycle.

Key responsibilities include:
- Designing and implementing scalable web applications
- Collaborating with product and research teams
- Contributing to the full development lifecycle
- Working with backend applications and APIs
- Utilizing technologies like Node.js, TypeScript, and JavaScript
- Working with databases including relational, graph (Neo4J), and full-text search (ElasticSearch)

We offer a competitive salary, hybrid working arrangements, and opportunities for professional development. Join our diverse, multinational team and be part of building a transformative knowledge product with real-world impact in the biomedical field.

Causaly values diversity, equity, and inclusion. We welcome applications from all backgrounds and are committed to fairly considering qualified candidates without regard to race, ethnicity, gender, sexual orientation, disability, age, religion, or any other personal characteristics.

If you're passionate about using technology to accelerate scientific breakthroughs and want to be part of a growing, innovative company, we encourage you to apply!

Staff Fullstack Engineer at Causaly to build scalable web applications and APIs for biomedical knowledge platform using Node.js, TypeScript, and databases.

Staff Software Engineer

Causaly is a production-grade generative AI platform for research insights and knowledge automation in Biomedicine, founded in 2018.

Causaly, founded in 2018, is revolutionizing knowledge acquisition in Biomedicine with its production-grade generative AI platform. The company enables scientists to discover evidence from millions of academic publications, clinical trials, regulatory documents, patents, and other data sources in minutes. Working with major biopharma companies and institutions, Causaly focuses on use cases in Drug Discovery, Safety, and Competitive Intelligence.

As a Senior DevOps Engineer at Causaly, you'll be at the forefront of building, scaling, and automating their infrastructure and platform. You'll work across all three major cloud vendors, designing and maintaining the infrastructure for Causaly Cloud products. Your responsibilities will include collaborating with multiple teams to improve infrastructure, providing support for high-level application issues, and managing infrastructure to handle various data formats.

Key responsibilities:
- Design, create, and maintain infrastructure for Causaly Cloud products
- Collaborate with stakeholders to improve infrastructure
- Provide support for high-level application issues
- Scale and automate new and existing components
- Manage infrastructure for handling diverse data formats

This role offers the opportunity to work with a multinational, diverse team on a transformative knowledge product with real-world impact. Causaly values diversity, equity, and inclusion, fostering an environment where difference is celebrated and everyone belongs.

Benefits include a competitive salary, hybrid working options, an annual training budget, enhanced sick-leave package, and ample opportunities for professional growth. Join Causaly in their mission to accelerate scientific breakthroughs for all humankind!

Senior DevOps Engineer at Causaly: Build and scale AI-powered biomedical research platform infrastructure across major cloud vendors.

Senior DevOps Engineer

Founded in 2018, Causaly accelerates how humans acquire knowledge and develop insights in Biomedicine using AI technology to develop the world's biggest knowledge platform in Biomedicine powered by a high-precision Knowledge Graph.

Causaly, founded in 2018, is developing the world's largest knowledge platform in Biomedicine using AI technology and a high-precision Knowledge Graph. They work with major biopharma companies on Drug Discovery, Safety, and Competitive Intelligence. Backed by top VCs, they're seeking a Staff Fullstack Engineer to work on their API and business services. The role involves designing and building scalable web applications, collaborating with product and research teams, and contributing to all aspects of the development lifecycle. Key qualifications include a Bachelor's degree in Computer Science or related field, experience with back-end applications, JavaScript, Node.js, TypeScript, and web architecture. The ideal candidate will have experience with Knowledge Graphs, graph databases, Full-Text search databases, GraphQL, Docker, functional programming, and cloud platforms. Causaly offers a competitive salary, hybrid working, professional development budget, and the opportunity to be part of a diverse team making real impact in scientific breakthroughs. They value diversity, equity, and inclusion, welcoming applications from all backgrounds.

Staff Fullstack Engineer role at Causaly, working on API and business services for a Biomedical Knowledge Graph platform.

Founded in 2018, Causaly accelerates how humans acquire knowledge and develop insights in biomedical science using a production-grade generative AI platform.

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!

Causaly seeks a Knowledge Engineer to work on data modeling, algorithms, and software development for their AI-driven biomedical science platform.

Knowledge Engineer

Founded in 2018, 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.

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

We are looking for a Staff Fullstack Engineer to work on our API and business services. You will be responsible for designing and building scalable, reliable, and maintainable web applications. You will collaborate with our product and research teams to build and ship new features, contributing to all aspects of the development lifecycle, from requirements gathering to deployment and monitoring.

The ideal candidate should have:
- Bachelor's degree in Computer Science, Mathematics related technical field, or equivalent practical experience
- Significant experience with back-end applications
- Solid understanding of JavaScript and Node.js
- Experience with TypeScript
- Good knowledge of web architecture (URIs, HTTP, Caching, etc)
- Proficiency in Git version control
- Familiarity with UNIX terminal
- Excellent knowledge of English language (verbal and written)
- Solid understanding of relational databases

Preferred qualifications include experience with Knowledge Graphs, graph databases (e.g., Neo4J), Full-Text search databases (e.g., ElasticSearch), GraphQL, Docker, functional programming languages, and cloud platforms like AWS or Google Cloud.

We offer competitive compensation, private medical insurance, life insurance, training/development budget, wellbeing budget, generous holiday allowance, and hybrid working options. Join us to have real impact and accelerated career growth as an early member of a multinational team building a transformative knowledge product in Biomedicine.

Staff Fullstack Engineer needed to design and build scalable web applications for Causaly's Biomedical Knowledge Graph platform.

Causaly Engineering Jobs

Founded in 2018, Causaly accelerates biomedical knowledge acquisition through generative AI, serving major biopharma companies for drug discovery and research.