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 teams.
Role type
Senior Scientist, AI for Drug Discovery (Antibody Developability/Biophysics)
Builds
Production-ready computational models and actionable guidance for antibody engineering teams
Domain
Biopharmaceuticals / Antibody Engineering / AI for Drug Discovery
Deliverable
production ML models
Required skills
Developability assessment, Biophysical modeling, Machine learning, Python, Molecular modeling, Antibody engineering lifecycle
Preferred skills
First-author publications, Experience translating computational methods to non-experts, Ambition for leadership growth
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 model improvement, Transition research-stage models into production-ready components, Develop technical relationships with gRED/pRED stakeholders
Seniority
Senior, hands-on IC with growth potential
