Principal Data Scientist — AI, GenAI & Clinical Data

Johnson & Johnson Co.; Hopewell Township (NJ); Hybrid; USD 117,000 - 201,000; Full time

Job summary

Johnson & Johnson is seeking a Principal Data Scientist in the United States to lead end-to-end delivery of integrated analytics for clinical-development and trial-operations business problems. This role owns solution definition, delivery, adoption, and use-case outcomes across connected stakeholder groups using ML, GenAI, optimization, and RWD.

This position focuses on advanced analytics, model development, and real-world data insights to drive evidence for decision making, feasibility

Qualifications

• Master’s degree in computer science, engineering, biostatistics, health economics, biomedical informatics, applied mathematics, or another quantitative discipline; PhD preferred.
• At least 5 years of industry experience leading end-to-end delivery of data-science solutions using ML, predictive modeling, optimization, NLP, GenAI, or RWD analytics.
• Proficiency in Python and SQL, modern ML, optimization, and LLM-development libraries, and reproducible MLOps practices.

Responsibilities

• Own the end-to-end definition, development, validation, deployment, and adoption of integrated data-science solutions for defined business problems.
• Lead predictive modeling, simulations, optimization, and GenAI applications for study feasibility, enrollment forecasting, country and site selection, protocol design, and operational planning.
• Apply clinical, operational, cost, and RWD—including EHR, claims, registries, and clinical-trial data—to generate evidence on patient populations, treatment pathways, feasibility, and operational risks.
• Lead RWD analytics that inform protocol feasibility, eligibility criteria, recruitment and retention, study design, comparative evidence, and external-control use cases.
• Develop LLM-enabled workflows for information extraction, protocol comparison, data harmonization, clinical-concept interpretation, and targeted workflow automation.
• Partner with clinical, operational, technology, and data stakeholders to frame questions, manage trade-offs, and translate outputs into adopted recommendations and measurable use-case outcomes.
• Apply model-validation, MLOps, documentation, privacy, data-quality, and responsible-AI standards; contribute reusable code, data assets, and technical patterns.
• Communicate methods, model outputs, assumptions, limitations, and decisions clearly to technical and nontechnical audiences.
• Mentor junior colleagues and strengthen delivery practices across project teams.

Skills

Python

SQL

ML

GenAI

NLP

RWD analytics

Model evaluation

Communication

Stakeholder management

Leadership

Education

Master’s degree in a quantitative field

PhD preferred

Job description

Johnson & Johnson is seeking a Principal Data Scientist in the United States to lead end-to-end delivery of integrated analytics for clinical-development and trial-operations business problems. This role owns solution definition, delivery, adoption, and use-case outcomes across connected stakeholder groups using ML, GenAI, optimization, and RWD.

This position focuses on advanced analytics, model development, and real-world data insights to drive evidence for decision making, feasibility