Senior Scientist, Antibody Developability/Biophysics & Portfolio Support, AI for Drug Discovery (AIDD)
Core
Senior Scientist applying developability modeling, biophysical modeling, and machine learning to accelerate antibody discovery and portfolio impact for Roche's gRED and pRED organizations.
Role type
Senior IC computational scientist (antibody developability & biophysics)
Builds
Production-ready computational models and methods for antibody engineering and portfolio assessment
Domain
Biopharmaceuticals / AI for Drug Discovery (AIDD)
Deliverable
production ML models
Required skills
Developability assessment, Biophysical modeling, Antibody engineering, Python, Machine learning frameworks (PyTorch/TensorFlow/JAX), Molecular modeling, Research publication experience
Preferred skills
Drug discovery project experience, Portfolio science lifecycle knowledge, Cross-disciplinary communication
Technologies
PyTorch, TensorFlow, JAX
Responsibilities
Apply developability modeling to active portfolio projects, Support molecular assessment research efforts, Interface with portfolio scientists to translate challenges into computational approaches, Contribute to method development in developability prediction and ML, Transition research-stage models into production-ready components, Develop technical relationships with gRED/pRED stakeholders
Seniority
Senior, hands-on IC
