Our mission at Xyme is to solve important societal problems by revolutionizing the practice of synthetic chemistry through what we call xymes - AI-generated enzymes that can catalyze 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 Software Engineer at Xyme, you will play a pivotal role in our mission to revolutionize synthetic chemistry through AI-generated enzymes. Your expertise in biology, chemistry, software engineering, and AI/ML will be crucial in translating cutting-edge research into production-ready software solutions. You will work closely with our interdisciplinary team of research scientists to take state-of-the-art algorithms and generative models and turn them into tools and services that drive our enzyme design platform. Your focus will be on ensuring these groundbreaking innovations are are also scalable and seamlessly integrated into our production systems. If you thrive on turning complex scientific concepts and early prototypes 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.
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 optimization.
Implement and maintain data pipelines for processing and analyzing 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, optimize performance, and ensure reproducibility through comprehensive testing, thorough documentation, and robust version control practices.
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 automated testing frameworks, CI/CD pipelines, distributed systems and GPU programming 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 ML frameworks (pytorch, hugging face) with a proven track record of implementing advanced algorithms and complex computational workflows.
Familiarity with cloud computing platforms (e.g., AWS, GCP), containerization technologies (e.g., Docker), and scalable workflow orchestration tools.
Experience with machine learning applied to biological problems.
Experience with high-performance computing environments and parallel processing.
Contributions to open-source scientific and/or ML software projects.
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.