AI/ML Scientist

Responsibilities

• Lead independent research projects exploring novel AI/ML approaches for protein design and optimization
• Investigate and integrate novel data types to enhance binder design capabilities and therapeutic development
• Develop and validate cutting-edge machine learning methodologies for molecular engineering applications
• Mentor and guide junior scientists and engineers in advanced ML techniques and research methodologies
• Drive strategic research planning and identify promising new directions for AI-driven drug discovery
• Lead cross-functional teams to translate research breakthroughs into therapeutic applications
• Provide scientific expertise for business development opportunities and strategic partnerships

Requirements

• PhD in Machine Learning, Computational Biology, Bioinformatics, Computer Science, or related field
• 5+ years of industry experience in machine learning research
• Expert-level proficiency in PyTorch and/or JAX
• Deep expertise in protein structure analysis, molecular dynamics, or structural bioinformatics
• Advanced understanding of deep learning architectures, including transformers and generative modeling (diffusion, flow-matching, etc.)
• Proven experience leading research teams and mentoring junior scientists
• Experience with distributed computing and high-performance computing

Preferred Qualifications

• Previous experience in biotech/pharma industry with focus on AI-driven drug discovery
• Knowledge of protein engineering, directed evolution, or structural biology wet lab techniques
• Experience with large-scale data engineering and cloud platforms
• Track record of published research in top-tier ML or computational biology journals

About the Company

Manifold Bio is a platform biotechnology company pioneering AI-guided protein design and massively multiplexed in vivo screening to unlock tissue-targeted medicines and organism-scale models of living systems.