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.
About The Team
We’re hiring AI engineers to help us transform research outcomes in biomedical sciences. We utilise generative AI and agents to help scientists find novel connections and insights from biomedical literature and datasets.
Delivering a faster research experience is not just a matter of picking the latest LLM model. Getting accurate, scientifically relevant, trustworthy and meaningful results relies on building trust with our users that comes from integrating proper levels of guardrails, biomedical curation, consistent update cycles and robust deployment practices that make our platform a one-stop shop for a researcher’s needs.
We’re looking for AI engineers who will champion this cause and help us apply AI to transform the way biomedical professionals carry out their research and day-to-day exploration.
What you’ll be doing
What Experience You’ll Need To Be Successful
- A master's degree or above in Computer Science, Electrical Engineering or a related field.
- 5+ years of experience building AI/ML systems in production environments, including ownership of key lifecycle stages: data collection, modeling, evaluation, deployment, and monitoring.
- Proficiency in Python and modern ML and agentic frameworks such as PyTorch, TensorFlow, or LangChain, with experience packaging models into APIs or integrating them into applications.
Not required, but it’s a plus if you also have:
- Experience with MLOps/LLMOps frameworks and best practices
- A PhD in Computer Science, Electrical Engineering or a related field.
- A background or work experience in life-sciences, health-tech, or other data-intensive domains
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.
