As a Bioinformatics Data Engineer, you will design and build data and cloud infrastructure for managing extensive genomic datasets. Your role involves maintaining a large protein sequence database and deploying cloud-based pipelines for data processing and analysis. You'll need to ensure efficient storage and retrieval of genomic data while collaborating with a cross-functional team of experts.

The Machine Learning Scientist will research and develop advanced deep learning models for protein design, collaborate with interdisciplinary teams, evaluate generative models, and present results. The role requires creativity and a self-directed mindset in a fast-paced environment.

Develop and maintain Profluent's data information platform, enhancing integration and processing of laboratory datasets. Design scalable cloud workflows, user-facing applications, and database models while collaborating cross-functionally with biology teams. Oversee code documentation and provide insights on software and data management.

The Bioinformatics Associate will analyze NGS datasets, develop bioinformatics tools, support gene editing workflows, automate processes using scripts, and document findings. This role requires collaboration with scientific teams to enhance protein design and gene editing applications.