Your role involves architecting and scaling AI infrastructure for genomic models, developing automated data pipelines and collaborating with researchers to enhance machine learning systems.

As a Machine Learning Researcher, you will design and evaluate models for biological data, partner with clinicians, and run experiments for impactful research.

The Machine Learning Research Engineer will design and implement foundational AI models and infrastructure for multi-omics, focusing on high-performance ML algorithms and scalable data pipelines for biomedical applications.

As a Bioinformatics Engineer, you will analyze multi-omic data, develop bioinformatics pipelines, and collaborate on research for neurological diseases.

The Forward Deployed Scientist will embed with partners to understand data and workflows, translating real problems into deployable solutions and improving the R&D roadmap through feedback on deployments.

The Data Engineer will own and scale data infrastructure for managing petabyte-scale datasets, build feature stores, process data for ML models, and ensure data versioning and correctness.