LEAD DATA SCIENTIST

Join Clinical AI to build production-ready LLM and GenAI solutions that accelerate drug development and improve patient care across global R&D.

Responsibilities

• Design and develop production-ready LLM/GenAI solutions for retrieval-augmented generation (RAG), summarization and inference to address clinical and R&D use cases.
• Build and integrate backend services, APIs and data pipelines (embeddings, vector DBs, knowledge bases) and support end-to-end deployment using cloud platforms and containerization.
• Fine-tune and evaluate models (supervised, LoRA/PEFT, prompt engineering), implement monitoring and testing frameworks for performance, fairness, hallucination rate, latency and cost.
• Optimize models and systems (quantization, distillation, caching), and operationalise with LLM-Ops tools and CI/CD best practices for stable, secure production use.
• Ensure compliance with internal/external AI governance, data protection and regulatory requirements (anonymization, access controls, audit logging) and produce technical documentation and runbooks.
• Collaborate with internal and external stakeholders across Data Science, Engineering, Medical and Regulatory teams to align on solutions, publish outcomes and drive technology roadmap adoption.
• Stay current on LLM research, trends, best practices and technology roadmap, and pursue publications through R&D relevant activities.

Qualifications

• Hold a PhD, Master’s or Bachelor’s degree in Computer Science, Computer Engineering, Computational Biology, Engineering or a related quantitative discipline (PhD preferred).
• Have strong practical experience in LLMs / generative AI: model selection, fine-tuning (LoRA, PEFT), prompt engineering, evaluation and observability.
• Possess software engineering experience from architecture design to Infrastructure as Code (IaC), with hands-on experience in cloud platforms, containers and microservices and automating serverless, event-driven pipelines in cloud platforms.
• Be experienced building data pipelines and retrieval systems (embeddings, vector DBs, knowledge bases) to support RAG and document understanding.
• Demonstrate competence implementing testing, monitoring and optimisation for model performance, fairness and cost; familiar with LLM-Ops tools (e.g., LangChain, LlamaIndex, Langfuse) is advantageous.
• Have excellent collaboration and communication skills to work with cross-functional teams, translate technical concepts for stakeholders, and ensure regulatory and privacy requirements (GDPR) are met.
• Have experience with implementing CI/CD best practices, including API development, MCP implementation, cloud-based distributed systems, containerization, integration, test automation and monitoring, particularly in stateful LLM system designs.
• Have a strong publications record in applied LLM/ML research areas.

Working at Novo Nordisk

Every day we seek the solutions that defeat serious chronic diseases. In Clinical AI you’ll work at the interface of research and engineering, contributing to solutions that can materially improve drug development and patient outcomes. You’ll join a collaborative environment that values scientific rigour, continuous learning and responsible innovation.

Deadline

29th January

Novo Nordisk is not your typical healthcare company. In a modern world of quick fixes, we focus on solutions to defeat serious chronic diseases and promote long-term health. Our unordinary mindset is at the heart of everything we do. We seek out new ideas and put people first as we push the boundaries of science, make healthcare more accessible, and treat, prevent, and even cure diseases that affect millions of lives. Because it takes an unordinary approach to drive real, lasting change in health.

We commit to an inclusive recruitment process and equality of opportunity for all our job applicants. At Novo Nordisk, we’re not chasing quick fixes – we’re creating lasting change for long-term health. For over 100 years, we’ve been driven by a single purpose: to defeat serious chronic diseases and help millions of people live healthier lives. This dedication fuels our constant curiosity and inspires us to push the boundaries of what’s possible in healthcare. We embrace diverse perspectives, seek out bold ideas, and build partnerships rooted in shared purpose. Together, we’re making healthcare more accessible, treating and preventing diseases, and pioneering solutions that create change spanning generations. When you join us, you become part of something bigger – a legacy of impact that reaches far beyond today.