Senior Data Engineer (Lab Informatics)

Xyme is an innovative startup based in Oxford and Manchester, UK, focused on revolutionizing synthetic chemistry through AI-generated enzymes. As a Senior Data Engineer specializing in Lab Informatics, you'll be instrumental in building and optimizing the data infrastructure that powers laboratory operations. The role involves developing and maintaining laboratory informatics systems, creating ELT pipelines, and ensuring data quality across all systems.

You'll work directly with laboratory scientists to translate data requirements into technical solutions, building tools and applications that streamline workflows and accelerate the design-learning cycles. The position requires expertise in data engineering, cloud platforms, and laboratory information management systems, with a focus on Python and SQL development.

The ideal candidate brings 3-5+ years of data engineering experience, strong proficiency with cloud databases and orchestration tools, and a proven track record of collaborating with laboratory scientists. Knowledge of AWS services and containerization tools is essential.

Working at Xyme offers the opportunity to make a significant impact on groundbreaking research in enzyme design, with applications in energy, climate, and health sectors. The company provides a flexible hybrid work arrangement, comprehensive learning opportunities, and a collaborative environment where innovation is encouraged.

This role is perfect for a seasoned data engineer who wants to apply their skills to revolutionary scientific research, working with cutting-edge technologies while contributing to solutions for major societal challenges. The position offers both technical growth and the chance to work closely with interdisciplinary teams of scientists and engineers.