Jobs at Profluent

Drive research and implementation of large-scale pretraining for protein generative models. Design autoregressive, diffusion, and representation-learning architectures, curate datasets, build pretraining infrastructure, evaluate models, and collaborate with computational and experimental teams to shape ML strategy for biomolecular design.

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.

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.

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

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.

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

Hands-on lab role developing scalable pooled mammalian screening and DNA workflows to validate AI-designed enzymes. Design and optimize high-throughput transfections and cell-based assays, generate poly/monoclonal lines, quantify editing via NGS, and collaborate with ML, bioinformatics, and automation teams. Maintain SOPs, ELNs, mentor junior staff, and drive adoption of screening technologies.

Lead full accounting function for a high-growth, pre-IPO biotech: own technical accounting, monthly/annual close, R&D/CRO accounting, equity/ASC 718, internal controls, audit readiness, tax compliance, finance systems implementation, and treasury/cash management.

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.