Foundation and generative models for biomolecules

Role: Develop and optimize machine learning models for biomolecule design to advance therapeutic discovery within a collaborative, interdisciplinary team. Responsibilities: design, train, and improve generative models for biomolecules; analyze and visualize model results; create tools for experimental efficiency; collaborate with biologists for data collection; mentor team members. Requirements: 3+ years experience in machine learning model development; proficient in Python, PyTorch; capable of multi-regional collaboration; willing to travel; primarily office-based. Preferred: PhD in AI/ML, computational biology, or related; experience with generative models, large-scale training, and bio sequence datasets; strong software engineering skills; knowledge of biochemistry and drug development. High-Value: focus on therapeutic biomolecules, generative ML, large model training, bioinformatics, and molecular biology.