Our mission at Xyme is to solve important societal problems by revolutionising the practice of synthetic chemistry through what we call xymes - AI-generated enzymes that can catalyse any reaction. As an innovative startup based in Oxford and Manchester, UK, we bring together interdisciplinary teams of scientists, engineers, and data specialists to push the boundaries of enzyme design. Our dynamic and collaborative work environment is fuelled by a passion for innovation. We cultivate a culture of continuous learning and improvement, where every team member can make a lasting impact on our groundbreaking research and real-world applications. As a Senior Research Engineer at Xyme, you will play a pivotal role in our mission to revolutionise synthetic chemistry through AI-generated enzymes. Your expertise in structural bioinformatics, cheminformatics, and AI/ML will be crucial in translating cutting-edge research into production-ready software solutions. You will develop innovative tools and algorithms that drive our enzyme design platform, collaborating closely with our interdisciplinary team of research scientists to create and implement state-of-the-art algorithms and generative models. Your focus will be on ensuring these innovations are not only groundbreaking but also scalable and seamlessly integrated into our production processes. If you thrive on turning complex scientific concepts into efficient, practical solutions and are excited about pushing the boundaries of enzyme design, this role offers a unique opportunity. You will combine your technical expertise with your passion for innovation, ultimately contributing to solving important societal problems. What you will do Design, develop, and maintain production-ready software tools and frameworks for efficient enzyme design and analysis. Work closely with research scientists to transform innovative algorithms and generative models into robust, scalable software solutions. Contribute to developing AI/ML models for protein structure and enzyme function prediction, as well as reaction optimisation. Implement and maintain data pipelines for processing and analysing large-scale biological and chemical datasets. Collaborate with the computational platform team to deploy and scale our computational tools in cloud environments. Maintain high code quality, optimise performance, and ensure reproducibility through comprehensive testing, thorough documentation, and robust version control practices. What you will bring Advanced degree in a relevant scientific discipline such as physics, chemistry, biochemistry, or applied mathematics, providing strong domain knowledge, numerical skills, and computational expertise. Extensive knowledge in one or more fields: structural bioinformatics, cheminformatics, AI/ML, computational chemistry, or molecular dynamics. Advanced software engineering skills, including expertise in version control systems (e.g., Git), automated testing frameworks, and CI/CD pipelines, coupled with a genuine passion for delivering high-quality, scalable technical solutions. Strong proficiency in Python, with extensive experience in scientific computing libraries (e.g., NumPy, SciPy, Polars) and a proven track record of implementing advanced algorithms and complex computational workflows. Familiarity with cloud computing platforms (e.g., AWS, GCP), containerisation technologies (e.g., Docker), and scalable workflow orchestration tools. Nice to have Experience with machine learning frameworks (e.g., PyTorch, TensorFlow) and their application to biological problems. Experience with high-performance computing environments and parallel processing. Contributions to open-source scientific software projects. What you will get from us Opportunity to work on groundbreaking technology with real-world impact, making significant contributions to synthetic chemistry and enzyme design. A supportive and collaborative work environment that nurtures creativity and innovation, providing genuine ownership and autonomy. Continuous learning and development opportunities, including the chance to attend and present at relevant conferences and industry events. The excitement of being part of a fast-growing startup at the forefront of AI-driven enzyme design.