Senior Machine Learning Researcher

4 weeks ago

London, Greater London, United Kingdom Novo Nordisk AS Full time

We are driving change to defeat diabetes and are now transforming our business to take our expertise into new territories. Our story is one of incredible growth and success, which has culminated in receiving many prestigious awards.

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 methodologies.

In this role, you will:

  • Lead research and development efforts on representation learning methods for biological data.
  • Ensure that AI/ML methods have a meaningful impact on Novo Nordisk's research portfolio.
  • Collaborate closely with key departments, including computational genetics, biology, and drug design, to drive AI advancements across the organization.
  • Stay at the forefront of AI/ML research, focusing on deep learning, representation learning, and multi-modal data integration.
  • Present findings and engage with stakeholders through reports, presentations, and scientific publications.

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.

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, 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.

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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