Senior Scientist, AI Applications - R&D Oncology

Job Title Senior Scientist, AI Applications, R&D Oncology Locations Spring House, PA (preferred) Cambridge, MA San Diego, CA (La Jolla area) Titusville, NJ (consideration) Raritan, NJ (consideration) Job Summary Join our Data Science and Digital Health team (DSDH) to develop AI/ML scientific applications that accelerate cancer drug discovery and development. As a Senior Scientist, you will work with the Machine Intelligence team to deploy large language models and advanced analytics across the R&D lifecycle. Key Responsibilities Develop and optimize multimodal reasoning systems that integrate large-scale structured and unstructured data to derive actionable conclusions. Build novel agent memory architectures to enable persistent knowledge retention and context‑aware decision‑making across extended discovery workflows. Prototype and evaluate innovative approaches for uncertainty quantification and reliability assessment in AI‑driven scientific reasoning. Serve as a domain expert in AI/ML, articulating emerging approaches and methodologies to team members. Benchmark agent performance against human expert decisions and existing computational methods, and publish results in leading journals and conferences. Define and enforce engineering best practices across AI prototyping, including architecture patterns, documentation standards, quality gates, and reproducibility criteria. Contribute to the overarching AI strategy and support scaling and deployment of tools to the broader R&D community. Required Qualifications Ph.D. degree in AI/ML or related field (e.g., computer science, machine learning, data science, applied mathematics, statistics) with at least two (2) years of relevant experience. Knowledge in Bayesian inference, uncertainty quantification, information theory, causal inference, graph neural networks, and related sophisticated mathematics. Proficiency with open‑source agentic frameworks (e.g., LangGraph, DSPy, mem0) and deep learning frameworks (e.g., PyTorch, TensorFlow). Proficiency in one or more programming languages – preferably Python. Positive and motivated demeanor, ability to work independently and within a diverse, multidisciplinary team. Preferred Qualifications Understanding of the drug discovery pipeline and familiarity with biological data types, especially in oncology research. Strong grasp of statistics and methods to validate model performance. Familiarity with cloud hosting solutions (e.g., AWS and/or Azure). Compensation Anticipated base pay range: $109,000to$174,800. Eligible for annual performance bonus. EEO Statement Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. #J-18808-Ljbffr 6084-Janssen Research & Development, LLC Legal Entity