AI/ML Engineer, Responsible AI
Description For AI/ML Engineer, Responsible AI
GSK is at the forefront of using AI/ML in healthcare, focusing on developing new therapies and personalized drugs for better patient outcomes. The Responsible AI team plays a crucial role in ensuring the ethical and safe application of AI in drug development. This position offers an opportunity to work on cutting-edge Responsible AI methods applied to real-world healthcare challenges.
As an AI/ML Engineer in the Responsible AI team, you'll be part of a culture built on ownership, accountability, continuous development, and collaboration. The role combines technical ML engineering expertise with ethical considerations in healthcare AI applications. You'll work with diverse datasets, implement state-of-the-art AI methods, and contribute to research that shapes the responsible use of AI in drug discovery.
The position offers exposure to various aspects of AI in healthcare, from drug discovery to clinical applications. You'll collaborate with research scientists, senior leaders, and other AI/ML engineers while contributing to GSK's responsible AI strategy. The company strongly encourages applications from people with diverse backgrounds and perspectives, demonstrating their commitment to inclusive innovation.
Working at GSK means joining a global biopharma leader that unites science, technology, and talent to fight diseases. The company focuses on immunology, infectious diseases, HIV, respiratory diseases, and oncology, using cutting-edge platform and data technologies. This role presents an excellent opportunity for those passionate about both technical excellence in AI/ML and ethical considerations in healthcare applications.
Responsibilities For AI/ML Engineer, Responsible AI
- Apply state-of-the-art Responsible AI methods to problems in drug discovery and biomedical datasets
- Support teams across AIML and GSK in building ethical ML pipelines and software products
- Contribute to ML research on responsible use of AI in drug discovery and clinical applications
- Work with research scientists and leaders on implementing GSK's responsible AI strategy
Requirements For AI/ML Engineer, Responsible AI
- Degree in quantitative or engineering discipline or equivalent work experience
- Demonstrated programming expertise in Python
- Experience working with complex and/or multi-modal datasets
- Solid understanding of major deep learning framework (PyTorch, TensorFlow)
- Knowledge of machine learning principles and state-of-the-art modelling approaches
- Track record of research in Responsible AI
- Proactive communication and problem-solving skills
- Ability to collaborate with colleagues of various backgrounds
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