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, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America
Job Description:This is a hybrid role available in multiple locations within Raritan, New Jersey; Spring House, Pennsylvania; and Cambridge, Massachusetts. While specific cities are listed in the Locations section for reference, please note that they are examples only and do not limit your application. We invite candidates from various locations to apply and encourage you to review the following states/cities where this opportunity is available:
Raritan, New Jersey
Spring House, Pennsylvania
Cambridge, Massachusetts
An internal pre-identified candidate for consideration has been identified. However, all applications will be considered.
We are searching for the best talent for the Principal Scientist position.Purpose: Serves as an individual contributor who is a developing subject matter expert in the Data Science field. Develops actionable insights for methods and research for the internal Data Science community. Applies in-depth skills of the field to design and develop industry-leading products. Contributes to scientific projects, programs, and processes of importance to the organization's Data Science function.
Key Responsibilities:- Develop and benchmark novel agent architectures, reasoning strategies, and tool-use patterns - determining how LLM-based agents can autonomously plan, hypothesize, and execute within scientific research workflows.
- Prototype agentic capabilities as proof-of-concepts across therapeutic areas (drug discovery, clinical development, translational science), rapidly iterating to identify which approaches deliver genuine scientific value versus incremental automation.
- Partner with therapeutic-area researchers to identify high-impact research problems where agentic AI can change what's feasible - translating domain expertise into concrete agent designs and experimental tool integrations.
- Publish findings through peer-reviewed papers, demonstrations, and knowledge-sharing that advances J&J's scientific position in agentic AI and attract top research talent.
- Establish the patterns and reference implementations that allow successful innovations to graduate from experimentation into the broader platform - defining what 'ready for production' looks like without owning ongoing operations.
Preferred ("nice-to-have") qualifications:- Familiarity with scientific data types, biomedical ontologies, or research workflows in drug discovery, clinical development, or translational science.
- Experience designing and running benchmarks or evaluation harnesses for AI agent performance in scientific domains.
- Track record of technical mentorship and cross-team scientific leadership - helping others adopt and extend novel AI capabilities.
- Experience with cloud-native infrastructure, containerized deployment (e.g., Kubernetes), CI/CD pipelines, and agile development practices - sufficient to move prototypes toward production-ready services.
Qualifications/Requirements:- Master's degree or ain Computer Science, Data Science, Computational Biology, or a related discipline.
- Proven experience designing, building, and evaluating AI/ML systems or scientific software - with a track record of moving from research prototype to demonstrated impact.
- Strong proficiency in Python and scientific computing; comfort with rapid prototyping, experimental design, and rigorous evaluation of AI capabilities.
- Hands-on experience with LLM-based systems and frameworks (e.g., LangChain, LangFuse, etc.) used for agent orchestration, tool-calling, prompt engineering, retrieval augmented generation, and/or evaluation frameworks.
- Ability to work independently and within distributed developer teams utilizing agile programming methodologies
- Ability to collaborate across disciplines - translating between therapeutic area scientists, data scientists, and engineers to turn domain problems into concrete agentic AI solutions.
Required Skills:Preferred Skills:Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow Analysis
The anticipated base pay range for this position is :$117,000.00 - $201,250.00
Additional Description for Pay Transparency:
Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).
This position is eligible to participate in the Company's long-term incentive program.
Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:
Vacation -120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado -48 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year
Holiday pay, including Floating Holidays -13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child
Bereavement Leave - 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave - 80 hours in a 52-week rolling period10 days
Volunteer Leave - 32 hours per calendar year
Military Spouse Time-Off - 80 hours per calendar year
For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits
