Associate Principal Scientist, Biologics AI
Core
Lead AI strategy integrating machine learning with wet-lab discovery to accelerate biologics engineering and enable next-generation biotherapeutics.
Role type
Senior IC scientist (AI/ML for biologics)
Builds
Production ML models for protein sequence modeling, structure-informed prediction, and de novo design
Domain
Biopharmaceuticals / Computational Biology
Deliverable
production ML models
Required skills
Advanced ML (deep learning, generative models, geometric methods), protein language models, closed-loop design-build-test-learn workflows, data strategy and governance, full ML lifecycle leadership, cross-functional leadership
Preferred skills
Antibody/nanobody engineering, generative models (diffusion, autoregressive LMs), multi-modal learning, MLOps, data generation strategy
Technologies
PyTorch, TensorFlow
Responsibilities
Define and drive AI strategy for biologics discovery; lead cross-functional discovery initiatives from problem framing to deployment; architect and guide application of cutting-edge models for protein design; establish closed-loop computational-experimental cycles; set standards for data generation and curation; oversee ML lifecycle processes including deployment and monitoring; mentor scientists across AI/ML and experimental domains; communicate strategy to senior stakeholders; drive publications and patents.
Seniority
Senior, hands-on IC with strategic leadership