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An established industry player is seeking a Senior Director of AI/ML Engineering to lead innovative projects in medical imaging and multimodal health data applications. This pivotal role involves managing a talented team, driving the development of cutting-edge AI/ML solutions, and fostering a culture of collaboration and accountability. The successful candidate will have a strong background in machine learning and software engineering, along with excellent communication skills. Join this forward-thinking company to make a significant impact on drug development and improve health outcomes globally.
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Site Name: London The Stanley Building
Posted Date: Mar 31 2025
At GSK we see a world in which advanced applications of machine learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of machine learning and AI. If that excites you, we'd love to chat.
The AI/ML Clinical Development team is responsible for creating AI/ML applications to support the development of GSK's assets (Pharma and Vaccine), from early to later-stage development, aligned with GSK's strategy of "software for every asset." Solutions range from response prediction to complex biomarker models, utilizing multimodal data such as computational pathology, electronic health records and RNAseq data. This holistic approach allows AIML to develop models ahead of time, validated with clinical development data, for improving medicines. Such models have the potential to be transformative in drug development, empowering us to find new life saving medicines.
We are looking for a Senior Director of AI/ML Engineering - Foundation Models in Medical Imaging. This is a technical management track role with responsibility for building out a team in this domain. The candidate should be comfortable being accountable for setting the direction, standards, and culture of a machine learning engineering sub-team, with demonstrable expertise across machine learning, software engineering, computational pathology and medical imaging. Equally important will be excellent communication, interpersonal and organizational skills, and the ability to represent and transmit the values and principles of our AI/ML team. The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work.
As the Sr. Director of AI/ML Engineering you will: