Senior Machine Learning Scientist
2 months ago
For over 100 years we have been driving change to defeat diabetes, but we know that what got us here today is not necessarily what will make us successful in the future. We are now transforming our business and taking our expertise into new territories including obesity and rare blood and endocrine diseases.
Our story is one of incredible growth and success, which has culminated in receiving many prestigious awards, such as Best Places to Work and Vitality – Britain’s Healthiest Workplace.
The position
We are seeking a skilled Machine Learning Scientist to join our dynamic team in London. You will play a pivotal role in supporting our target and biomarker discovery pipeline through the development of cutting-edge AI/Machine Learning (ML) methodologies.
In this role, you will:
Qualifications
To thrive in this role, we imagine that you have:
A PhD in AI/ML or bioinformatics, with hands-on experience in developing machine learning models. Industrial or post-doctoral experience in AI/ML within the life sciences domain. Expertise in predictive and generative machine learning models, particularly for single-cell RNA-seq, OMICS, genetics, or real-world data. Solid proficiency in Python and deep learning libraries such as PyTorch. Familiarity with multi-modal data integration, bioinformatics, and representation learning. A strong passion for and experience in writing publications. Strong communication skills to effectively convey complex technical concepts to diverse audiences.About the department
The Machine Intelligence department at Novo Nordisk is at the forefront of integrating AI and machine learning with biological data to drive scientific discovery. Based in London, at the heart of the Knowledge Quarter, you will be part of a team of experts who collaborates closely with academia and industry to push the boundaries of what's possible in target and biomarker discovery. Our dynamic and innovative environment fosters creativity and collaboration, making it an exciting place to work and grow.
In this role, you will report directly to the Head of the Department for Biological Knowledge Representation and join a growing team of four professionals.
You will collaborate cross-functionally with larger teams, developing computational methods to support areas such as computational biology, human genetics, computational drug design, and precision health, helping to advance their work.
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