Protein Design Scientist, Agentic Workflows

Profluent is seeking a Protein Design Scientist to develop and deploy agentic workflows for protein design. This role involves building systems that integrate protein language models, structure predictors, fitness scoring tools, and experimental feedback into automated or semi-automated design pipelines, bridging computational processes with wet lab experiments.

Key responsibilities include designing, building, and deploying end-to-end agentic workflows that generate ranked candidate sequences for experimental validation. The scientist will integrate various tools into multi-step pipelines with iteration, feedback loops, and human-in-the-loop checkpoints, and will own the full lifecycle of workflow systems, from architecture to iteration based on experimental outcomes.

The ideal candidate holds a PhD (or equivalent industry experience) in Computational Biology, Bioinformatics, Computer Science, Machine Learning, Biochemistry, or a related field. Strong software engineering skills, particularly in Python, and hands-on experience with protein language models are essential. A demonstrated understanding of protein engineering principles and experience building multi-component systems are also required.

Profluent offers a high-growth opportunity with meaningful impact on the future of protein design. The compensation package includes a competitive salary with equity participation, a 401(k) plan with a strong employer match, comprehensive health benefits, generous PTO policy, and professional development opportunities in a cutting-edge field at the intersection of AI and biology.

As an early employee, the Protein Design Scientist will shape Profluent's approach to workflow automation and help define best practices for agentic systems in protein engineering. The company fosters a collaborative and innovative culture, providing growth opportunities and the chance to work on transformative applications in biomedicine.