At a Glance
- Tasks: Lead cutting-edge analyses to identify 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 drug discovery using AI and innovative biology methods.
- 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 £ per year.
Your new role
As (Principal) Lead Scientist, you will perform cutting edge analyses of cellular phenotype data derived from ultra-high 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 genome-scale in-vitro perturbation screens producing high-content 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 high-value AI and data analysis projects for target discovery
- Translation of ultra-high throughput in-vitro screening analysis results/insights into drug target candidates and pipeline projects
- Systems biology-guided interrogation of high-dimensional cell-painting embeddings & omics (incl. DRUG-seq/perturb-seq) data derived from genetic & chemical perturbations
- Keep pace with cutting edge biology-focused 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 data-first 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 cross-functional 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 high-dimensional datasets, preferably from HCI/omics data on in-vitro genetic/compound screens
- Independence and motivation to perform in-depth biology-focused data analysis and work with project and leadership teams to progress targets
- Experience working in Python/R to curate and analyse data
- Experience in CMD-relevant 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 – 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.
(Principal) Lead Scientist, BioAI employer: Novo Nordisk
Contact Detail:
Novo Nordisk Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land (Principal) Lead Scientist, BioAI
✨Network Like a Pro
Get out there and connect with people in the industry! Attend conferences, webinars, or local meetups related to BioAI and drug discovery. Building relationships can lead to insider info about job openings and even referrals.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your experience with AI and data analysis. Share specific examples of how you've used these skills in past projects to make a real impact.
✨Tailor Your Approach
Before any interview, do your homework on the company and its current projects. Tailor your discussions to show how your background in cellular/molecular biology aligns with their goals, especially in cardiometabolic disease.
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in being part of our team at Novo Nordisk.
We think you need these skills to ace (Principal) Lead Scientist, BioAI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the specific skills and experiences that align with the (Principal) Lead Scientist role. Highlight your expertise in cellular/molecular biology and any relevant AI methods you've used in past projects.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about drug discovery and how your background makes you a perfect fit for our BioAI team. Don't forget to mention any collaborative projects you've led!
Showcase Your Communication Skills: Since excellent communication is key, ensure your application materials are clear and well-structured. This will demonstrate your attention to detail and ability to convey complex scientific ideas effectively.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you're serious about joining our mission at StudySmarter!
How to prepare for a job interview at Novo Nordisk
✨Know 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 approaches.
✨Showcase Your Leadership Skills
As a senior role, they’ll 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.
✨Demonstrate Data Savvy
Since the role involves high-dimensional datasets, be ready to talk about your experience with data analysis tools like Python or R. Share specific instances where your data-driven decisions have led to successful outcomes in drug discovery.
✨Communicate Clearly
Excellent communication skills are crucial. Practice articulating complex scientific concepts in a clear and concise manner. Prepare to present your past work and findings effectively, as this will showcase your presentation skills and attention to detail.