Principal Scientist, AI & Autonomous Discovery Systems - Spring House, PA

Role: Principal Scientist in AI & Autonomous Discovery Systems at Johnson & Johnson, focusing on advancing AI-driven drug discovery platforms to accelerate therapeutic development across multiple modalities and disease areas. Responsibilities include designing scalable AI workflows linking target identification, molecular modeling, experiment planning, and data interpretation; developing enterprise-scale AI architectures; integrating scientific data, laboratory automation, robotics, and cloud systems into autonomous discovery ecosystems; and establishing AI governance standards. The role entails collaborating with cross-functional teams spanning drug discovery, data science, automation, and laboratory operations, mentoring scientists and engineers, and communicating results through publications and patents. Requirements: Ph.D. in a quantitative field such as Biomedical, Electrical, Chemical Engineering, or Computer Science; 3+ years applying AI/ML in pharmaceutical or research settings; proficiency in agentic AI, scientific computing, Python, and frameworks like PyTorch or TensorFlow; experience in architecture design for scientific AI platforms; and familiarity with biological and molecular foundation models. Preferred: expertise in closed-loop scientific workflows, laboratory automation, cloud infrastructure, and laboratory instrumentation such as LC, LC/MS, or NMR. The position is based in Spring House, PA, with no remote work option, and involves engaging in cutting-edge AI-enabled research to transform drug discovery pipelines.