Senior BioAI ML Scientist – Foundations (London)

Novo Nordisk A/S; Greater London; Hybrid; GBP 90,000 - 140,000; Full time

Job summary

Novo Nordisk A/S in London seeks a Senior Machine Learning Scientist to push biological discovery using cellular foundation models and diverse omics data. You will develop model architectures, train approaches, and work with experimental teams to validate predictions.

The role blends hands-on research with delivering reproducible tools for scientists, mentoring junior colleagues, and sharing findings through presentations and publications.

Qualifications

• PhD in AI/ML or life sciences with strong AI/ML publications.
• Expertise in deep learning for omics, single-cell, sequences, or imaging.
• Proficient Python and PyTorch with GPU workloads.
• Experience with self-supervised learning and foundation models.
• Ability to design reproducible ML pipelines and data management.
• Strong communication and collaboration across experimental and computational teams.

Responsibilities

• Develop biological foundation models and predictive methods for target identification and prioritization.
• Collaborate with experimental scientists to define questions and design experiments to test predictions.
• Define project objectives and success criteria linking model performance to scientific impact.
• Curate and harmonize biological datasets, addressing batch effects and reproducible processing.
• Develop reusable ML workflows and support adoption by research teams.

Skills

PhD in bioinformatics/ML

Deep learning for biology

Python & PyTorch

Self-supervised learning

ML pipelines

Statistics & evaluation

Research collaboration

Scientific communication

Publications & code

Education

PhD in relevant domain

Tools

PyTorch

Python

GPU inference

Job description

Novo Nordisk A/S in London seeks a Senior Machine Learning Scientist to push biological discovery using cellular foundation models and diverse omics data. You will develop model architectures, train approaches, and work with experimental teams to validate predictions.

The role blends hands-on research with delivering reproducible tools for scientists, mentoring junior colleagues, and sharing findings through presentations and publications.