Senior AI Scientist, Immunology R&D & Data Science (Spring House)

About Johnson & Johnson

Johnson & Johnson believes 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.

Job Overview

Position: Senior Scientist, AI Applications (Immunology)
Team: Immunology R&D Data Science & Digital Health (DSDH)
Location: On site at Spring House PA, Cambridge MA, Titusville NJ, Raritan NJ, or San Diego CA (no fully remote option)

Key Responsibilities

• Individual contributor 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, articulating emerging AI/ML approaches and illustrating their practical applications within the industry.
• Benchmark agent performance against human expert decisions and existing computational methods, demonstrating ability to publish 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 overarching AI strategy and to enable scaling and deployment of tools for the broader R&D community.

Required Qualifications

• Ph.D. in AI/ML or related field (e.g., computer science, data science, applied mathematics, statistics) with at least 2 years post‑doctoral experience.
• Knowledge of sophisticated mathematics such as Bayesian inference, uncertainty quantification, information theory, causal inference, graph neural networks, etc.
• 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 with the ability to work independently and in a diverse, multi‑disciplinary team.

Preferred Qualifications

• Understanding of the drug discovery pipeline and familiarity with biological data types.
• Experience in immunology research.
• Strong understanding of statistics and methodological validation of model performance.
• Familiarity with cloud hosting solutions (e.g., AWS and/or Azure).

Required Skills

• Advanced Analytics
• Business Intelligence (BI)
• Coaching
• Collaborating
• Critical Thinking
• Data Analysis
• Database ManagementData Privacy Standards
• Data Reporting
• Data Savvy
• Data Science
• Data Visualization
• Econometric Models
• Process Improvements
• Technical Credibility
• Technologically Savvy
• Workflow Analysis

Preferred Skills

• Same as required skills (duplicate)

Locations

• Cambridge, Massachusetts, 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
• Titusville, New Jersey, United States of America

Compensation and Benefits

Base pay range: $109,000 to $174,800. Eligible for annual performance bonus and various company‑sponsored benefit programs including medical, dental, vision, life insurance, disability, legal insurance, and retirement plans.

Time Off Benefits

• Vacation: up to 120 hours per calendar year
• Sick time: up to 40 hours per calendar year
• Holiday pay, including Floating Holidays: up to 13 days per calendar year
• Work, Personal and Family Time: up to 40 hours per calendar year

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.

We are committed to providing an inclusive interview process. If you are an individual with a disability and would like to request an accommodation, please contact us.