AI Scientist – AI-Driven Target Identification

Role: AI/ML Scientist in Oncology Data Science, focused on applying advanced AI techniques to drug discovery. Responsibilities: develop AI/ML models to analyze multi-modal datasets for target and biomarker discovery, leverage foundational models including generative AI, collaborate on best practices for ML data readiness, and contribute to scientific publications and conferences. Requirements: Ph.D. in Machine Learning, Computational Biology, or related field; expertise in generative AI, foundation models, multi-modal learning; proficiency in Python and deep learning frameworks like PyTorch; experience with omics data and oncology drug development; strong research and communication skills. HighValue: oncology therapeutics, biomarker discovery, preclinical/clinical datasets, AI-driven target identification, generative AI applications. WorkSetup: onsite in Cambridge or Basel, with relocation support.