AI Oncology Portfolio Lead (Director)

Role: AI-enabled strategic scientific leader partnering with Oncology Research to integrate AI-driven insights into portfolio strategy across discovery and preclinical stages. Responsibilities: analyze oncology research projects using advanced AI/ML tools, develop data-driven portfolio strategies, support decision-making with predictive modeling and scenario analysis, collaborate cross-functionally with research, translational, and clinical teams, and communicate insights to senior leadership. Qualifications: PhD in oncology, molecular biology, pharmacology, or computational biology with 5+ years applying AI in drug discovery, and over 10 years in pharmaceutical/biotech R&D including strategic roles. Experience with multiple modalities (small molecules, biologics, ADCs), deep understanding of oncology R&D workflows, and proficiency in data visualization and complex data interpretation are required. Preferred: formal training in data science or bioinformatics, exposure to R&D domains, and organizational change management skills. High-Value: leadership in AI-driven portfolio analysis, decision support in oncology drug discovery, and expertise across discovery to preclinical stages. Work Setup: hybrid site-based role, commutable to the location, with relocation support available.