Causaly
Causaly

Staff Software Engineer

TLDR

Develop scalable API and backend services for a GenAI-powered biomedical knowledge platform, collaborating with product and research teams to deliver new features.

About us:

Causaly is redefining how humans acquire knowledge and develop insights in biomedicine. Our AI-powered platform enables researchers and decision-makers to discover and interpret evidence from millions of scientific publications, clinical trials, regulatory documents, and other complex data sources in minutes.

We are building the world’s most advanced biomedical knowledge platform, powered by a high-precision Knowledge Graph and GenAI capabilities. Our technology is already used by leading biopharmaceutical organizations to accelerate drug discovery, improve safety, and drive better decision-making.

Backed by top-tier investors including ICONIQ, Index Ventures, Pentech, and Marathon, we are scaling rapidly and expanding our product suite and market presence. 

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.

What we're looking for

  • Significant experience with back-end applications

  • Solid understanding of JavaScript

  • Familiarity with 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

  • Experience working with Knowledge Graphs and graph databases, such as Neo4J

  • Experience working with Full-Text search databases, such as ElasticSearch

  • Good understanding of GraphQL

  • Experience working with Docker

  • Experience working with a functional programming language

  • Experience working with AWS or Google Cloud

Technology Stack

The list below is indicative and not exhaustive of the technologies we use at Causaly.

  • Node.js

  • Typescript

  • Git

  • ElasticSearch

  • Neo4J

  • RxJS

  • React

  • Webpack

Benefits

💰 Competitive compensation package   

🩺 Private medical insurance  

🤓 Personal development budget  

🧘 Individual wellbeing budget  

🎫 Monthly meal vouchers 

🤒 Enhanced sick leave (5 days on top of statutory) 

☎️ 24/7 access to Confidential Counselling service 

🥳 Your birthday off! 

🚀 Potential to have real impact and accelerated career growth as a member of an international team that's building a transformative AI product. 

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. 

Benefits

Free Meals & Snacks

🎫 Monthly meal vouchers

Health Insurance

🩺 Private medical insurance

Learning Budget

🤓 Personal development budget

career growth and impact

🚀 Potential to have real impact and accelerated career growth as a member of an international team that's building a transformative AI product.

Paid Time Off

🧁 Your birthday off!

Wellness Stipend

☎️ 24/7 access to Confidential Counselling service

Causaly is an AI-powered platform transforming how researchers and decision-makers in biomedicine acquire knowledge and insights. By enabling rapid discovery and interpretation of evidence from millions of scientific publications and clinical trials, it empowers biopharmaceutical organizations to enhance drug discovery and improve decision-making.

View company profile