Artificial Intelligence Innovator in Life Sciences

8 hours ago

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

About the Company

Novo Nordisk A/S is a global healthcare company dedicated to defeating diabetes and other serious chronic diseases. We have a long history of innovation and a strong commitment to science and technology.

About the Role

We are seeking a Principal Machine Learning Scientist to lead the development of foundation models on biological data. This role will pioneer the integration of generative AI in Research & Early Discovery, helping to accelerate target and biomarker discovery.

Key Responsibilities

  • Lead the exploration and development of foundation models on biological data to enhance target and biomarker discovery.
  • Set the strategy for incorporating generative AI into early-stage drug discovery, working closely with cross-functional teams.
  • Stay at the forefront of research in deep learning, representation learning, and multi-modal data integration.
  • Present findings through reports, presentations, and scientific publications to internal and external stakeholders.
  • Foster collaborations with academic and industry partners, particularly in the London Knowledge Quarter.

Qualifications

  • PhD in AI/ML or bioinformatics with a proven experience in foundation models for life sciences.
  • Expertise in multi-modal data integration, including single-cell RNA sequencing, OMICS, and genetics.
  • Proficient in Python and deep learning libraries like PyTorch for computational drug discovery pipelines.
  • Strong experience with large language models, real-world data, and bioinformatics workflows.
  • Familiarity with gene knockdown, drug perturbation experiments, and integrating biological data (e.g., RNA sequencing, protein sequences).
  • Demonstrated expertise in publications that delivered tangible impact.
  • Skilled in cloud computing services like AWS, Azure, or Nvidia DGX Cloud for large-scale model training and deployment.

Location

This role is based in our new London office at King's Cross, requiring two days per week in the office.

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