Senior Data Scientist (London, London, GB)
About this opportunity
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Your impact begins here
As Senior Data Scientist, you will design, build and validate AI and machine learning models that help tackle some of the hardest problems in discovering and developing new treatments. You will turn large language models, retrieval systems and agentic AI into reliable products for colleagues across Research & Development in the US and EU. Your work will help teams find, summarise and use knowledge faster, so promising ideas can move forward with clarity and speed.
What you’ll bring
You combine deep machine learning knowledge with hands-on software engineering. You will need:
A PhD with 1+ year’s experience, or a Master’s degree with 3+ years’ relevant experience.
Background in healthcare, pharmaceuticals or life sciences, including deploying agentic AI.
CI/CD best practices, including API development, MCP implementation, cloud-based distributed systems, test automation and monitoring, particularly in stateful LLM systems.
Automating serverless, event-driven pipelines on cloud platforms.
Familiarity with Design Thinking, Agile, Scrum and Kanban, and an understanding of data governance, privacy (GDPR) and regulatory considerations for AI in healthcare.
What you’ll do
You will explore and create new methods and technology for R&D challenges in healthcare, combining data collection, processing and engineering with software engineering. You will work with a high degree of initiative and self-sufficiency.
Develop and validate LLM-based models for content retrieval, generation, summarisation and inference in healthcare and drug development.
Architect services, design APIs, build backend systems and integrate with frontend applications, so AI products meet performance, safety, privacy and ethics requirements from end to end.
Build and maintain the vector databases, embedding pipelines and knowledge bases that support RAG and document understanding.
Work closely with partners and collaborators to turn AI/ML algorithms and models into products, and create the technical documentation, runbooks and training materials that keep them well used and maintained.
Stay current on GenAI and LLM research, best practices and technology roadmaps, and bring what you learn into the team’s work.
Who you’ll work with
You will join Cognitive AI and Reasoning, a team of 12 people across two hiring managers within Research & Development, and report to the Associate Director of Cognitive AI and Reasoning. The team applies novel algorithms and machine learning techniques to some of the hardest problems in discovering and developing new treatments, blending scientific, problem-solving and quantitative skills.
Your projects will span the R&D landscape, with stakeholders across the US and EU. You will partner with data scientists, engineers, software developers, system engineers, designers, medical doctors, IT professionals, and technology scouts and partnership developers to understand challenges, find where innovation can make a real difference and build what is needed. External collaborations give the team access to cutting-edge research and technology.
What you can expect here
You will work in multidisciplinary teams where your expertise is valued and you are trusted to take ownership. The team helps each other grow, and the role gives you room to expand your skills across LLMs, agentic AI, retrieval systems and cloud engineering through hands-on work with internal and external partners.
You will also join Novo Nordisk at the forefront of AI and technology, as we upskill our entire workforce to advance AI as a main driver for innovation, for the benefit of people living with serious chronic diseases.
Salary: For this role, the Annual Base Salary ranges correspond to the level of the position. The placement within the salary range will be assessed during the recruitment process based on the candidate's skills, competencies, knowledge and relevant experience.
Incentives and Benefits : The salary package may include short-term and/or long-term incentives as well as other employee benefits based on position level, location, functional area and relevant market benchmarks.
Learn more about our Reward Philosophy here
Start now
Your impact begins today. If you are ready to turn advanced AI into products that help move research forward, apply for the Senior Data Scientist role by 19 October 2026. Applications are reviewed on an ongoing basis, so we encourage you to apply as soon as possible.
We are an equal opportunities employer and are committed to an inclusive recruitment process and equality of opportunity for all applicants. If you require adjustments during the application or selection process, please contact zovc@novonordisk.com and include your name, the role you are applying for and the adjustment you require.
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Job details
How this role compares
Computed from every other active Biostatistics & Data Science role in our database, not just this employer's listings.
We currently track 131 comparable Senior Biostatistics & Data Science roles across 31 biopharma companies.
Salary context
57 of 131 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 131 comparable roles
+ 11 more countries
Seniority mix
131 of 131 peers have a known seniority level
Therapeutic area mix
9 of 131 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
Notify me about similar jobs
Get an email when we spot other openings like this one – same job function, comparable seniority, roles you'd actually want to see.
How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.