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Principal Machine Learning Scientist, London
Client:
Location:
London, United Kingdom
Job Category:
Other
-
EU work permit required:
Yes
Job Reference:
fa807b288ddd
Job Views:
11
Posted:
26.04.2025
Expiry Date:
10.06.2025
Job Description:
For over 100 years, we have been driving change to defeat diabetes, and we are now transforming our business to include new areas such as obesity and rare blood and endocrine diseases.
Our story is one of growth and success, recognized by awards like Best Places to Work and Britain’s Healthiest Workplace.
The position
Are you passionate about leveraging AI to drive biological discovery? We seek a Principal Scientist to lead the development of foundation models on biological data, aiming to accelerate target and biomarker discovery. You will pioneer the integration of generative AI in Research & Early Discovery, reducing the time from target identification to clinical application.
In this role, you will:
- Lead exploration and development of foundation models on biological data to enhance discovery.
- Set strategy for incorporating generative AI into drug discovery, collaborating with cross-functional teams.
- Stay at the forefront of deep learning, representation learning, and data integration research.
- Present findings through reports, presentations, and publications.
- Foster collaborations with academic and industry partners, especially in the London Knowledge Quarter.
This is a hybrid role, requiring two days weekly at our London office in King’s Cross.
Qualifications
To succeed, you should have:
- PhD in AI/ML or bioinformatics with experience in foundation models for life sciences.
- Expertise in multi-modal data integration (e.g., single-cell RNA sequencing, OMICS, genetics).
- Proficiency in Python and deep learning libraries like PyTorch.
- Experience with large language models, real-world data, and bioinformatics workflows.
- Familiarity with gene knockdown, drug perturbation experiments, and biological data integration.
- Impactful publications demonstrating expertise.
- Experience with cloud services like AWS, Azure, or Nvidia DGX Cloud.
About the department
The Machine Intelligence department at Novo Nordisk integrates AI with biological data to drive discovery. Located in London’s Knowledge Quarter, our team collaborates with academia and industry, fostering a creative and innovative environment.
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