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At GSK, we see a world where advanced applications of Machine Learning and AI enable us to develop transformational medicines that drive better outcomes for patients at reduced cost and with fewer side effects. AI will also play a role in how we diagnose and use medicines to enable everyone to do more, feel better, and live longer. It is an ambitious vision that will require the development of products at the cutting edge of Machine Learning and AI.
Job Responsibility:
Design and implement AI/ML-driven solutions throughout the entire model development life cycle
Research and develop state‑of‑the‑art machine learning models and agentic systems to solve a variety of scientific tasks
Deliver robust, tested, and high-performance code in an agile environment
Liaise with experts in biology, medicine and experimentation to ensure optimal data collection and processing for machine learning models
Requirements:
Bachelor’s, Master’s or Doctorate degree in a quantitative or engineering discipline (computer science, computational biology, bioinformatics, engineering, among others)
OR equivalent work experience delivering state-of-the-art AI/ML solutions
Experience with at least one major deep learning framework (PyTorch, JAX, TensorFlow)
Familiarity with machine learning literature and state-of-the-art approaches
Experience developing and delivering robust software solutions, including demonstrated advanced programming expertise in Python
Experience in software engineering and machine learning best practices, including version control, continuous integration (CI) and continuous development (CD), containerization, and shell scripting
Fluency in English
Nice to have:
Experience in design, development and deployment of commercial AI/ML software
Experience with Large Language Models (LLMs) and Agentic AI (e.g., tool use, multi-agent orchestration, deployment and evaluation)
Contributions to relevant open-source projects
Relevant scientific publications in AI/ML (e.g., NeurIPS, ICML, ICLR, AAAI), computational biology or bioinformatics venues
Knowledge of or interest in disease biology, molecular biology and medicine
Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images)
What we offer:
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
Health care and other insurance benefits (for employee and family)