Principal Machine Learning Scientist

TN United Kingdom; London; Hybrid; GBP 80,000 - 120,000; Full time

Job summary

An innovative firm is seeking a Principal Machine Learning Scientist to leverage AI in biological discovery. This hybrid role focuses on developing foundation models to accelerate target and biomarker discovery, integrating generative AI into drug discovery processes. The successful candidate will lead research, collaborate with cross-functional teams, and present findings to both academic and industry partners. Join a dynamic team at the forefront of AI and biology, where your expertise will drive impactful discoveries in healthcare and beyond.

Qualifications

• PhD in AI/ML or bioinformatics with experience in foundation models for life sciences.
• Expertise in multi-modal data integration and proficiency in Python.

Responsibilities

• Lead development of foundation models on biological data to enhance discovery.
• Set strategy for incorporating generative AI into drug discovery.

Skills

AI/ML expertise

Bioinformatics

Python

Deep learning libraries (PyTorch)

Multi-modal data integration

Cloud services (AWS, Azure)

Education

PhD in AI/ML or Bioinformatics

Tools

AWS

Azure

Nvidia DGX Cloud

Job description

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Principal Machine Learning Scientist, London

Client:

Location:

London, United Kingdom

Job Category:

Other

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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.