Scientist - Computational Biophysics

About the Role

We are seeking a scientist to join the diffUSE Project, which focuses on developing next-generation protein representations that bridge dynamic structural biology to downstream functional applications. The diffUSE Project is an ambitious initiative designed to advance our understanding of protein dynamics by building the experimental methods, computational models, and global infrastructure needed to capture molecular motion at scale. Our goal is to establish dynamic structural biology as a foundational pillar of modern science, as transformative and indispensable as the Protein Data Bank has been for static structures.

Key Responsibilities

• Build ensemble-aware protein representations that integrate PLM and LLM embeddings with experimentally derived structural heterogeneity for functional prediction
• Design, develop, and maintain large-scale bioinformatic pipelines capable of processing and managing complex, high-dimensional datasets
• Fine-tune or architect ML models to capture sequence-structure-function relationships, with a focus on dynamic and conformational features
• Synthesize diverse data sources spanning evolutionary history, binding affinity, allostery, and functional annotations to improve model performance and biological relevance
• Collaborate closely with experimental partners to ground computational insights in real biological systems and ensure models are continuously refined against experimental ground truth
• Contribute to the broader diffUSE infrastructure, helping establish community-wide standards and tools for dynamic structural biology

Required Skills and Qualifications

• PhD in bioinformatics, computational biology, machine learning, or a related field
• Strong understanding of protein structure and function
• Demonstrated experience building large bioinformatic pipelines and managing high-dimensional datasets
• Proficiency in fine-tuning or modifying ML models (e.g., transformer-based architectures)
• Familiarity with protein language models (ESM, AlphaFold, etc.) is a plus
• Collaborative, team-oriented mindset with the ability to drive research questions from conception to execution

Pay

Compensation Range: $100K - $180K