At a Glance
- Tasks: Lead cutting-edge analyses to discover new drug targets for cardiometabolic diseases.
- Company: Join a global healthcare leader dedicated to long-term health solutions.
- Benefits: Opportunities for learning, development, and a supportive work culture.
- Why this job: Make a real impact on healthcare by driving innovative drug discovery projects.
- Qualifications: Master's degree required; PhD preferred in relevant biological fields.
- Other info: Collaborate with experts globally and contribute to meaningful healthcare advancements.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Your new role: As (Principal) Lead Scientist, you will perform cutting edge analyses of cellular phenotype data derived from ultraâhigh throughput genetic and compound screens to identify new drug targets for cardiometabolic disease. You will have direct impact on our early pipeline and lead the scientific deliveries from our flagship genomeâscale inâvitro perturbation screens producing highâcontent imaging and functional genomics data and help us translate these into compelling drug projects. This is a senior scientific role in which you will have the opportunity to have major impact on our early pipeline and engage directly with senior therapy area disease experts, computational biologists, and engineering teams.
Your responsibilities will include:
- Scientific leadership and execution of highâvalue AI and data analysis projects for target discovery.
- Translation of ultraâhigh throughput inâvitro screening analysis results/insights into drug target candidates and pipeline projects.
- Systems biologyâguided interrogation of highâdimensional cellâpainting embeddings & omics (incl. DRUGâseq/perturbâseq) data derived from genetic & chemical perturbations.
- Keep pace with cutting edge biologyâfocused AI methods and contribute to the development of internal evaluations/benchmarks to keep our models focused on value to our discovery pipeline.
- Develop collaborative and strategic relationships with key stakeholders in our therapy areas to ensure alignment with the global Novo Nordisk drug discovery strategy and portfolio.
- Provide input to our overall systems biology strategy, including scientific direction and implementation.
The role requires up to 10% overnight travel, potentially international.
Your new department: You will join the BioAI department, part of AI and Digital Innovation in Research & Development (R&D). BioAI is a global department with colleagues in Denmark, the United Kingdom, and the United States. Our scientists have significant expertise across a diverse set of disciplines in machine learning, graph data science, computer vision, and agentic reasoning, all applied to impacting early target discovery. Driving dataâfirst decision making in our R&D pipeline is a key objective for BioAI as we seek to strengthen the Novo Nordisk portfolio and deliver new medicines for patients across our core cardiometabolic disease areas.
Your skills & qualifications: To succeed in the role, we expect you to have:
- Master's degree is a must, and PhD is strongly preferred in cellular/molecular/computational biology or similar preferably combined with several years of experience in a pharma/tech bio context.
- Scientific leadership experience in crossâfunctional teams with a track record of progressing novel biological hypotheses, ideally focused on drug target identification within a pharma industry context.
- Experience applying cutting edge AI and systems biology methods to generate, analyse, and interpret highâdimensional datasets, preferably from HCI/omics data on inâvitro genetic/compound screens.
- Independence and motivation to perform inâdepth biologyâfocused data analysis and work with project and leadership teams to progress targets.
- Experience working in Python/R to curate and analyse data.
- Experience in CMDârelevant cellular/molecular biology is an advantage.
- Excellent written and oral communication skills, detail oriented with strong presentation and documentation skills.
What we offer: There is, of course, more on offer here than the uniqueness of our culture and the extraordinary results we produce. Being part of a global healthcare company means opportunities to learn and develop are all around us, while our benefits are designed with your career and life stage in mind.
More information: For further information, please reach out to Robert Kitchen, Head of BioAI at JZRK@novonordisk.com.
Deadline: 1 February 2026 (Applications are reviewed on an ongoing basis).
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 â we're creating lasting change for longâterm 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 â a legacy of impact that reaches far beyond today.
(Principal) Lead Scientist, BioAI in London employer: Novo Nordisk
Contact Detail:
Novo Nordisk Recruiting Team
StudySmarter Expert Advice đ€«
We think this is how you could land (Principal) Lead Scientist, BioAI in London
âšTip Number 1
Network like a pro! Reach out to people in the BioAI field, especially those at Novo Nordisk. A friendly chat can open doors and give you insights that might just land you an interview.
âšTip Number 2
Show off your skills! Prepare a portfolio or presentation that highlights your experience with AI and data analysis in drug discovery. This will help you stand out during interviews and discussions.
âšTip Number 3
Stay updated on the latest trends in bioinformatics and AI. Being able to discuss recent advancements shows your passion and commitment to the field, making you a more attractive candidate.
âšTip Number 4
Apply through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, it shows youâre genuinely interested in being part of our team.
We think you need these skills to ace (Principal) Lead Scientist, BioAI in London
Some tips for your application đ«Ą
Tailor Your Application: Make sure to customise your CV and cover letter for the (Principal) Lead Scientist role. Highlight your experience in cellular/molecular/computational biology and any relevant projects that showcase your scientific leadership and AI expertise.
Showcase Your Skills: Donât just list your qualifications; demonstrate how your skills in Python/R and data analysis have led to successful outcomes in previous roles. We want to see how you can apply your knowledge to our drug discovery pipeline.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use straightforward language to explain your experiences and achievements, making it easy for us to see why youâre a great fit for the team.
Apply Through Our Website: We encourage you to submit your application through our website. This ensures that your application is reviewed promptly and gives you the best chance to join our innovative BioAI department!
How to prepare for a job interview at Novo Nordisk
âšKnow Your Science
Make sure you brush up on the latest advancements in cellular and molecular biology, especially as they relate to drug target identification. Be prepared to discuss how your experience aligns with cutting-edge AI methods and systems biology techniques.
âšShowcase Your Leadership Skills
As a senior role, theyâll be looking for evidence of your scientific leadership. Prepare examples of how you've led cross-functional teams and progressed novel biological hypotheses in previous roles. Highlight your ability to engage with diverse stakeholders.
âšDemonstrate Data Savvy
Since the role involves high-dimensional datasets, be ready to talk about your experience with data analysis tools like Python or R. Bring specific examples of how you've used these tools to generate insights from complex datasets, particularly in a pharma context.
âšPrepare for Collaboration
This position requires building strategic relationships with various teams. Think about how you can demonstrate your collaborative spirit and communication skills. Prepare to discuss past experiences where you successfully aligned project goals with broader organisational strategies.