At a Glance
- Tasks: Lead groundbreaking AI projects to discover new drug targets for cardiometabolic diseases.
- Company: Join a global healthcare leader dedicated to long-term health solutions.
- Benefits: Enjoy opportunities for learning, development, and a supportive work culture.
- Why this job: Make a real impact in healthcare while working with cutting-edge technology and diverse teams.
- Qualifications: Master’s degree required; PhD preferred, with experience in bioinformatics and AI methods.
- Other info: Collaborative environment with potential for international travel and career growth.
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 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.
Responsibilities: 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
Working at Novo Nordisk: Every day we seek the solutions that defeat serious chronic diseases. To do this, we approach our work with determination, constant curiosity and a commitment to finding better ways forward. For over 100 years, this dedication has driven us to build a company focused on lasting change for long‑term health. One where diverse thinking, shared purpose and mutual respect come together to create extraordinary results. When you join us, you’re not just starting a job – you’re becoming part of a story that spans generations.
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.
Application Support: We are an equal opportunities employer, and we commit to an inclusive recruitment process and equality of opportunity for all our job applicants. If you’re a person with a disability, if you’re neurodivergent, and need any adjustments to be made during the application and selection process, please send an email to ebhn@novonordisk.com. Please include your name, the role you are interested in and the type of adjustment your need.
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).
(Principal) Lead Scientist, BioAI employer: Novo Nordisk A/S
Contact Detail:
Novo Nordisk A/S Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land (Principal) Lead Scientist, BioAI
✨Tip Number 1
Network like a pro! Reach out to people in the BioAI field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your past projects, especially those involving AI and data analysis. This will help you stand out during interviews and showcase your expertise.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors to refine your answers and get comfortable discussing your experience in cellular and molecular biology.
✨Tip Number 4
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 joining our team.
We think you need these skills to ace (Principal) Lead Scientist, BioAI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience in cellular/molecular/computational biology. We want to see how your background aligns with the cutting-edge analyses and AI methods mentioned in the job description.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about drug discovery and how your skills can contribute to our BioAI department. Share specific examples of your scientific leadership and any relevant projects you've worked on.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in Python/R and any experience with high-dimensional datasets. We’re keen to see how you’ve applied these skills in real-world scenarios, especially in a pharma context.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our BioAI team!
How to prepare for a job interview at Novo Nordisk A/S
✨Know Your Science
Make sure you brush up on the latest advancements in cellular and molecular biology, especially those related to cardiometabolic diseases. Be prepared to discuss how your experience aligns with cutting-edge AI methods and systems biology approaches that are relevant to the role.
✨Showcase Your Leadership Skills
As a (Principal) Lead Scientist, you'll need to demonstrate your scientific leadership. Prepare examples of how you've successfully led cross-functional teams and progressed novel biological hypotheses in previous roles. Highlight your ability to engage with stakeholders and align projects with broader drug discovery strategies.
✨Be Data Savvy
Familiarise yourself with high-dimensional datasets and the tools used for analysis, like Python or R. Be ready to discuss specific projects where you've applied these skills, particularly in the context of in-vitro genetic or compound screens. This will show your technical expertise and readiness for the role.
✨Communicate Effectively
Strong communication skills are crucial for this position. Practice articulating complex scientific concepts clearly and concisely, both in writing and verbally. Prepare to present your past work and findings in a way that engages your audience, as this will be key in collaborating with diverse teams.