Lead AI/ML Engineer

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 Biomedical AI Team applies machine learning and AI methods to questions at the start and end of the journey of drug development. Our viral evolution group is focused on applying these techniques to support the development of cutting-edge treatments and prevents for viral diseases like Influenza, RSV, and COVID-19. We wish to see humanity fully realize the potential of new platforms like mRNA vaccines, oligonucleotides, and monoclonal antibodies when combating infectious diseases. To do so we model viral evolution using large scale datasets and emerging AIML techniques. We are looking for a Lead AI/ML Engineer to help us make this vision a reality. Competitive candidates will have a track record in developing SOTA deep learning models for solving challenging real world scientific problems. You should be an outstanding scientist with in-depth knowledge in modern machine learning. You can convert vaguely described biological/drug discovery challenges into well-defined machine learning problem. You can independently execute and deliver full AI/ML driven solution from sourcing training data, design and implementing SOTA machine learning models, testing, benchmark and product driven research for model performance improvement, to shipping stable, tested, performant code and services in an agile environment. You are on team null hypothesis, focused on delivering well-vetted tools with clearly defined limitations. Your expertise in protein and RNA-language modelling will be valued.