AI/ML Engineer, Responsible AI
Description For AI/ML Engineer, Responsible AI
GSK is at the forefront of using AI and ML in healthcare, specifically 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 implementation of AI in drug development. This position offers an opportunity to work on cutting-edge Responsible AI applications in healthcare, combining technical expertise with ethical considerations.
The role involves working with state-of-the-art AI methods, building ethical ML pipelines, and contributing to research in responsible AI applications for drug discovery. You'll be part of a team that values ownership, accountability, and continuous development, working directly with research scientists and senior leaders to shape GSK's responsible AI strategy.
The ideal candidate will bring strong ML engineering skills, experience with complex datasets, and a demonstrated interest in ethical AI applications in healthcare. This is an excellent opportunity for someone passionate about both technical excellence and responsible innovation in the pharmaceutical industry.
GSK offers a supportive environment focused on long-term career development, with leaders committed to your growth from day one. The company strongly encourages applications from diverse and underrepresented backgrounds, fostering an inclusive workplace culture. You'll be part of a global biopharmaceutical company working to impact the health of billions of people through innovative drug development and AI applications.
The position offers the chance to work on meaningful projects that directly impact patient care while advancing the field of responsible AI in healthcare. You'll collaborate with cross-functional teams, contribute to cutting-edge research, and help shape the future of AI applications in drug discovery and development.
Responsibilities For AI/ML Engineer, Responsible AI
- Apply state-of-the-art Responsible AI methods to problems in drug discovery and challenging biomedical datasets
- Support different teams across AIML and GSK in building ethical ML pipelines and software products
- Contribute to ML research on the responsible use of AI in drug discovery and clinical applications
- Work closely with research scientists, senior leaders and AI/ML engineers on the implementation of GSK's responsible AI strategy
Requirements For AI/ML Engineer, Responsible AI
- A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering) OR equivalent work experience
- Demonstrated programming expertise in Python
- Experience working with different types of complex and/or multi-modal datasets
- Solid understanding of at least one major deep learning framework (PyTorch, TensorFlow)
- Knowledge of machine learning principles and state-of-the-art modelling approaches
- Track record of research in the field of Responsible AI
- Proactive communication and problem-solving skills
- Proven ability to collaborate with colleagues of various backgrounds and levels of seniority
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