Senior AI Scientist — Oncology R&D Innovator

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, and solutions are personal.

Through our expertise in Innovative Medicine and Med Tech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.

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Job Function

Data Analytics & Computational Sciences

Job Sub Function

Data Science

Job Category

Scientific/Technology

All Job Posting Locations:

Cambridge, Massachusetts, United States of America, New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America



Job Description

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

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Johnson & Johnson Innovative Medicine is recruiting for a Senior Scientist, AI Applications, R&D Oncology to join our Data Science and Digital Health team (DSDH). This position will be located at one of our offices in either Spring House PA (preferred), Cambridge MA, or San Diego CA (La Jolla area). Consideration may be given for our Titusville and Raritan, NJ locations.

The Senior Scientist, AI Applications will work closely with the Machine Intelligence (MI) team within Data Science and Digital Health (DSDH) AI/ML to develop and deliver artificial intelligence (AI)/machine learning (ML) scientific applications. This is a role for a mission-driven Scientist aimed at developing the future of autonomous AI in oncology drug discovery and development. As a Senior Scientist you will work with Large Language Models (LLMs) and sophisticated data science techniques, harnessing massive datasets spanning scientific literature, omics, and biomolecular knowledge.

Your work will directly accelerate research across the drug development pipeline, including novel target discovery, translational research and clinical trials—making reasoning agents faster, more accurate, and more reliable. Key focus areas include multimodal reasoning, agent robustness and uncertainty, agent memory architecture, and agent motivation frameworks. This role will transform AI/ML needs into actionable science, and work hands on to deliver decision-driving results.

You will connect research across the entire R&D lifecycle so broad knowledge of how advanced analytics is applied across Johnson and Johnson Innovative Medicine pipeline is expected.



Key Responsibilities

• This is an individual contributor position focused on hands-on technical delivery of advanced analytic (AI/ML) Oncology R&D research.
• You will work with Oncology R&D and Data Science business leaders to translate business opportunities into hands on research plans.
• The Senior Scientist will 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 within the field by articulating to team members emerging approaches and methodologies within the AI/ML with a clear understanding of their practical applications within the industry
• Benchmark agent performance against human expert decisions and existing computational methods and demonstrate ability to 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
• Serve as a key contributor to the over-arching AI strategy and to enable the scaling and deployment of tools aimed at the broader R&D community.

• A 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 working experience
• Knowledge in sophisticated mathematics areas such as Bayesian inference, uncertainty quantification, information theory, causal inferencing, graph…