LEAD DATA SCIENTIST in London

LEAD DATA SCIENTIST in London

London Full-Time 48000 - 72000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and develop innovative AI solutions to transform drug development and patient care.
  • Company: Join Novo Nordisk, a leader in healthcare innovation focused on chronic diseases.
  • Benefits: Competitive salary, inclusive culture, and opportunities for continuous learning.
  • Why this job: Make a real impact in healthcare by leveraging cutting-edge AI technologies.
  • Qualifications: PhD or Master's in a relevant field with strong experience in LLMs and software engineering.
  • Other info: Collaborative environment with a commitment to diversity and long-term health solutions.

The predicted salary is between 48000 - 72000 ÂŁ per year.

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

Your new role

As a Lead Data Scientist in Clinical AI you will design, develop and deploy LLM‑based and ML solutions for content retrieval, generation, summarization and inference to support cross‑functional healthcare and drug‑development challenges. You will bridge data science and software engineering‑architecting services, designing APIs, building backend systems and integrating models while ensuring performance, safety, privacy and regulatory compliance.

Day‑to‑day your tasks will include:

  • 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.

Your new department

You will join the Clinical AI & Analytics team in R&D, working across the Target Discovery, Clinical Development and Medical functions. Our team blends advanced machine learning research with production engineering to create trustworthy AI systems that support discovery, development and patient‑facing insights.

Your skills & qualifications

To succeed in this role, you should:

  • 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.

LEAD DATA SCIENTIST in London employer: Novo Nordisk

At Novo Nordisk, we are committed to creating lasting change in healthcare through innovative solutions that tackle serious chronic diseases. As a Lead Data Scientist in our Clinical AI team, you will thrive in a collaborative and inclusive environment that prioritises scientific rigour and continuous learning, while also offering ample opportunities for professional growth and development. Join us in making a meaningful impact on patient care and drug development, all while being part of a company that values diverse perspectives and bold ideas.
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Contact Detail:

Novo Nordisk Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land LEAD DATA SCIENTIST in London

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

✨Tip Number 2

Prepare for interviews by practising common questions and showcasing your projects. Make sure you can explain your work with LLMs and generative AI clearly, as well as how it relates to drug development and patient care.

✨Tip Number 3

Don’t just apply anywhere; focus on companies that align with your values and interests. At StudySmarter, we encourage you to check out our website for roles that excite you and fit your skills!

✨Tip Number 4

Follow up after interviews! A simple thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in the interviewer's mind.

We think you need these skills to ace LEAD DATA SCIENTIST in London

LLM (Large Language Models)
Generative AI
Model Fine-Tuning (LoRA, PEFT)
Prompt Engineering
Cloud Platforms
Containerization
Microservices
Data Pipeline Development
Retrieval-Augmented Generation (RAG)
Testing and Monitoring Frameworks
LLM-Ops Tools (e.g., LangChain, LlamaIndex, Langfuse)
CI/CD Best Practices
API Development
Collaboration Skills
Technical Documentation

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Lead Data Scientist role. Highlight your experience with LLMs and generative AI, and don’t forget to showcase your software engineering skills. We want to see how you can bridge data science and engineering!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about Clinical AI and how your background aligns with our mission. We love seeing enthusiasm and a clear understanding of the role.

Showcase Your Projects: If you've worked on relevant projects, make sure to include them in your application. Whether it's fine-tuning models or building data pipelines, we want to see concrete examples of your work that demonstrate your skills and impact.

Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at Novo Nordisk.

How to prepare for a job interview at Novo Nordisk

✨Know Your LLMs Inside Out

Make sure you’re well-versed in the latest advancements in LLMs and generative AI. Be prepared to discuss your experience with model selection, fine-tuning techniques like LoRA and PEFT, and how you've implemented prompt engineering in past projects.

✨Showcase Your Software Engineering Skills

Highlight your software engineering experience, especially in designing APIs and building backend systems. Be ready to talk about your hands-on experience with cloud platforms, containerization, and automating serverless pipelines, as these are crucial for the role.

✨Demonstrate Collaboration and Communication

Since this role involves working with cross-functional teams, practice articulating complex technical concepts in a way that non-technical stakeholders can understand. Share examples of how you’ve successfully collaborated with different teams in the past.

✨Prepare for Compliance Questions

Familiarise yourself with AI governance, data protection, and regulatory requirements like GDPR. Be ready to discuss how you’ve ensured compliance in previous projects, including anonymisation and access controls, as this is vital for the role.

LEAD DATA SCIENTIST in London
Novo Nordisk
Location: London
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  • LEAD DATA SCIENTIST in London

    London
    Full-Time
    48000 - 72000 ÂŁ / year (est.)
  • N

    Novo Nordisk

    10000+
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