AVP, AI/ML - Generative Foundation Models for Biotherapeutics
San DiegoLast seen today
Summary
Lead the creation of generative AI and protein foundation models for biotherapeutic discovery at a major pharmaceutical company. You will set scientific vision and technical roadmap, lead teams of AI researchers and ML infrastructure engineers, establish pretraining and post-training strategies (including self-supervised learning, reinforcement learning, and reward-guided optimization), and drive structure-based generative models for de novo antibody design. The role requires deep hands-on expertise in training large-scale deep learning models on multi-node GPU infrastructure, fluency in Python and PyTorch, and proven leadership experience in research organizations.
Data ScienceAIMachine LearningPythonAll Atom GenerationAntibody DesignDe Novo Protein DesignDeep LearningDiffusion ModelsEquivariant ArchitecturesFine TuningFlow MatchingGenerative AIGpu InfrastructureGraph TransformersInverse FoldingMlopsMulti Node TrainingMultimodal LearningOut Of Distribution DetectionProtein Structure PredictionPyTorchReinforcement LearningReward Guided OptimizationSelf Supervised LearningSide Chain PackingTransfer LearningTransformersUncertainty Quantification