Senior Scientist, AI - R&D Immunology Data Science & Digital Health

About the Company

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build a world 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.

Learn more at

Johnson &Johnson Innovative Medicine is currently seeking a Senior Scientist, AI Applications to join our Immunology R&D Data Science & Digital Health team (DSDH). This position will be located on site at one of our offices in either Spring House PA, Cambridge MA, Titusville NJ, Raritan NJ, or San Diego CA (NO fully remote option available). The R&D Immunology Data Science and Digital Health team is seeking a Senior Scientist, AI Applications - Immunology to work closely with the Machine Intelligence (MI) team within DSDH AI/ML to develop and deliver artificial intelligence (AI)/machine learning (ML) scientific applications.

This must be a mission‑driven Scientist aimed at developing the future of autonomous AI in Immunology drug discovery and development.

• An individual contributor position focused on hands‑on technical delivery of advanced analytic (AI/ML) Immunology R&D research.
• Work with immunology R&D and Data Science business leaders to translate business opportunities into hands‑on research plans.
• 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 neural networks, etc.
• Proficiency with open‑source agentic frameworks (e.g., Lang Graph, DSPy, mem0, etc.) and deep learning frameworks (e.g., PyTorch, Tensorflow, etc.).
• Proficiency in one or more programming languages – preferably Python.
• Positive and motivated demeanor with the ability to work both independently and in a diverse, multi‑disciplinary team.

• Understanding of the drug discovery pipeline and familiarity with biological data types.
• Experience in Immunology research.
• Strong understanding of statistics and applicable methods to validate model performance.
• Familiarity with cloud hosting solutions (ex.
  
  AWS and/or Azure).

This position will be located on site at one of our offices in either Spring House PA, Cambridge MA, Titusville NJ, Raritan NJ, or San Diego, CA (NO fully remote option available). Occasional travel for cross‑functional workshops, design sessions, and team meetings may be required.

The anticipated base pay range for this position is $109,000 to $174,800. The Company maintains highly competitive, performance‑based…