Jobs at Profluent

Manage execution of internal and external early-discovery biotech programs by translating partner milestones into detailed, cross-functional project plans. Build and maintain Gantt charts and timelines across bioinformatics, ML, and wet-lab teams; track risks, dependencies, and resource bottlenecks; generate status reports and visualizations for leadership and partner steering committees.

Lead the design and development of the NGS analysis platform for gene editing and protein engineering while mentoring team members and collaborating with various teams.

Develop and evaluate generative and predictive deep learning models for protein and nucleic acid design; curate large biomolecular datasets; collaborate with computational and experimental teams to validate models and shape company ML strategy.

The Sustaining Engineer will support automated workflows, perform maintenance and troubleshooting of lab equipment, and develop operational documentation.

The Machine Learning Scientist will develop reinforcement learning algorithms for protein design, collaborate with teams, and shape machine learning strategies.

As a Senior Software Engineer, you will design and maintain data infrastructure for protein engineering, ensuring secure data pipelines and compliance, while collaborating with multi-disciplinary teams.

Lead and mentor a software engineering team to build and maintain a data platform for protein engineering, utilizing Python and cloud technologies.

The ML Platform/MLOps Engineer will build and maintain infrastructure for large-scale ML systems, ensuring efficiency, reliability, and security while supporting the research team from experiments to production models.