GSK AI/ML Solutions focuses on utilizing advanced artificial intelligence and machine learning methodologies to innovate and improve drug and vaccine development processes. By analyzing vast datasets, particularly in the fields of genetics and genomics, GSK aims to enhance the understanding of disease mechanisms, optimize drug discovery, and tailor therapies for better patient outcomes. The company's approach integrates cutting-edge scientific research with high-performance computing capabilities, promoting a culture of collaboration and diversity in its workforce.
• ai-driven solutions
• state-of-the-art machine learning applications
• focus on genetics and functional genomics
• integration with high-performance computing
• support for biomedical prediction tasks
Lead of Machine Learning Engineering, RNA Therapeutics
AI tools for biomedical research and drug development.
Benefits:
Competitive base salary
Annual bonus based on company performance
Flexible working options available for most roles
Learning and career development
Access to healthcare & wellbeing programmes
Employee recognition programmes
Education Requirements:
Bachelor's, Master's or Doctorate degree in a quantitative or engineering discipline
Experience Requirements:
Experience in at least one major deep learning framework (PyTorch, TensorFlow)
Experience with machine learning literature and state-of-the-art modelling approaches
Responsibilities:
Design and implement AI/ML-driven solutions along the entire model development life cycle
Research and develop state-of-the-art machine learning models
Deliver robust, tested and performant code
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Software Engineer, Biomedical AI
AI tools for biomedical research and drug development.
Benefits:
Competitive base salary
Annual bonus based on company performance
Flexible working options available for most roles
Learning and career development
Access to healthcare & wellbeing programmes
Employee recognition programmes
Education Requirements:
Bachelor's, Master's or Doctorate degree in a quantitative or engineering discipline
Experience Requirements:
Experience in developing production grade data-driven software solutions
Responsibilities:
Drive the development of state-of-the-art biomedical AI algorithms
Implement solutions across biomedical tasks
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AI/ML Engineer
AI tools for biomedical research and drug development.
Benefits:
Competitive base salary
Annual bonus based on company performance
Flexible working options available for most roles
Learning and career development
Access to healthcare & wellbeing programmes
Employee recognition programmes
Education Requirements:
Bachelor's, Master's or Doctorate degree in a quantitative or engineering discipline
Experience Requirements:
Experience in developing and validating state-of-the-art machine learning models
Responsibilities:
Research, design, implement, and deliver prediction models for biomedical tasks.
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