The Senior Data Engineer will own and scale biological data infrastructure, build data pipelines and a feature store, and improve data processing systems for large-scale biological datasets.

Drive foundational research in ML for biological problems, develop novel models, lead experiments, publish research, and mentor team members.

Design and implement foundational AI models for multi-omics using high-performance ML algorithms. Responsible for building and scaling robust experimentation pipelines and data workflows, while driving breakthroughs in scientific understanding and enhancing model performance for large datasets.