AI/ML Engineer (GenAI), Responsible AI
Description For AI/ML Engineer (GenAI), Responsible AI
GSK is at the forefront of using AI and Machine Learning 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 and healthcare.
As an AI/ML Engineer in the Responsible AI team, you'll be working on cutting-edge machine learning applications in drug discovery and clinical applications. The role combines technical expertise in ML with a focus on ethical considerations in healthcare AI. You'll be working with various types of biomedical data, including genomics, electronic health records, and clinical images.
The position offers an opportunity to make a real impact on healthcare through AI while working with a diverse team of researchers and engineers. GSK provides a collaborative environment where continuous development and long-term career growth are prioritized. The company has a special focus on diversity and inclusion, encouraging applications from people with diverse backgrounds.
The role requires strong technical skills in Python programming and deep learning frameworks, combined with an understanding of ML principles and their ethical applications in healthcare. Experience with biomedical data is advantageous but not required. You'll be part of a team that values ownership, accountability, and collaboration, working on projects that directly impact patient care and drug discovery.
GSK offers a supportive work environment with opportunities for professional growth and development. The company's focus on getting ahead of disease through science and technology makes this an exciting opportunity for those interested in combining ML engineering with healthcare impact.
Responsibilities For AI/ML Engineer (GenAI), Responsible AI
- Deliver ML- and data-driven insights on various datasets (genomics, electronic health records, clinical images)
- Apply state-of-the-art ML methods to problems in drug discovery and biomedical datasets
- Support teams in building ethical ML pipelines and software products
- Contribute to ML research on responsible 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 (GenAI), Responsible AI
- Degree in quantitative or engineering discipline or equivalent work experience
- Demonstrated programming expertise in Python
- Experience working with complex and 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 modeling approaches
- Proactive communication and problem-solving skills
- Ability to collaborate with colleagues of various backgrounds
Benefits For AI/ML Engineer (GenAI), Responsible AI
- Flexible working culture
- Career development opportunities
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