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Campfire: building universal AI models for high-content cellular imaging analysis

Developing universal models for high-content imaging can streamline the analysis of complex cellular datasets but has remained challenging due to experimental variability. A new model named Campfire addresses this by combining a channel-agnostic architecture with vision transformers and self-supervised learning, allowing it to generalize and extract meaningful biological features across diverse experimental setups.

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GSK is drawing on expertise from Silicon Valley and the booming UK tech sector to speed up and improve drug development.

At the heart of the effort is a new office in London dedicated to using artificial intelligence (AI) and machine learning to analyse vast sets of biological and genetic data that could help lead scientists to the next big breakthrough.

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London, UK | San Francisco, CA | Seattle, WA | Boston, MA | Philadelphia, PA | Tel Aviv, Israel | Zug, Switzerland | Heidelberg, Germany

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United Kingdom

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  • AIML Engineer - Finance

    London

    We are seeking a machine learning engineer with a track record of delivering high-performing AI/ML-powered products in production environments and expertise in complex mathematical modeling.

  • Machine Learning Engineering Lead

    London

    The AI/ML RNA Therapeutics team applies machine learning and AI methods to fundamental problems in RNA biology and biochemistry domain in order to accelerate the discovery and development of novel RNA therapeutics. Improved target identification and therapeutic design in this space has the potential to be transformative, empowering scientists to make better and faster data-driven decisions about potential therapeutics.

  • Machine Learning Engineer II

    London

    Our team is focused on accelerating the discovery and development of novel RNA therapeutics. This work explores the exciting potential of applying state-of-the-art machine learning and AI to life sciences and drug discovery. We're looking for an accomplished Machine Learning Engineer to help us make this vision a reality.

  • Lead of Machine Learning Engineering, RNA Therapeutics

    London

    We are looking for a Lead of ML Engineering – RNA Therapeutics. This is a technical management track role with responsibility for direct reports.

  • Product Manager, Responsible AI

    London

    We are looking for a Product Manager that can help to lead the development of projects in Responsible AI. With the autonomy to drive every stage of the product lifecycle, you'll collaborate with top-tier internal and external teams to bring innovative ideas to life.

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China

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  • Director, AI/ML Engineering

    Shanghai

    The opportunities for machine learning extend to many other areas of our business, including medicine safety, manufacturing, and supply chain. To realize these opportunities, GSK has created a global Artificial Intelligence and Machine learning group (AI/ML), with locations in London, San Francisco, Boston, Philadelphia, Tel Aviv, and Heidelberg, to focus on the development and application of machine learning to problems of critical importance at GSK.

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United States

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  • AI/ML Services - Software Engineer

    San Francisco, CA, Seattle, WA

    At GSK, we see a world in which advanced applications of Machine Learning and AI will allow us to develop transformational medicines using the power of genetics, functional genomics, and machine learning. AI will also play a role in diagnosing and using medicines to enable everyone to do more, feel better, and live longer. This ambitious vision will require developing products at the cutting edge of Machine Learning and AI.

  • AI/ML Engineer - Sequence Learning

    San Francisco, CA

    The AI/ML Sequence Learning Team applies machine learning and AI methods to biological sequence (DNA, RNA, protein) data from large-scale human genetic, functional genomic and single cell experiments. The team aims to build sequence and single cell foundation model to be transformative in drug discovery, empowering us to find new life saving medicines.

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MASSACHUSETTS

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    Philadelphia, PA

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      San Francisco, CA

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      • AI/ML Services - Software Engineer

        San Francisco, CA, Seattle, WA

        At GSK, we see a world in which advanced applications of Machine Learning and AI will allow us to develop transformational medicines using the power of genetics, functional genomics, and machine learning. AI will also play a role in diagnosing and using medicines to enable everyone to do more, feel better, and live longer. This ambitious vision will require developing products at the cutting edge of Machine Learning and AI.

      • AI/ML Engineer - Sequence Learning

        San Francisco, CA

        The AI/ML Sequence Learning Team applies machine learning and AI methods to biological sequence (DNA, RNA, protein) data from large-scale human genetic, functional genomic and single cell experiments. The team aims to build sequence and single cell foundation model to be transformative in drug discovery, empowering us to find new life saving medicines.

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