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# Principal Data Scientist - DDSAI GD

- **Company:** Johnson & Johnson
- **Location:** Hopewell Township, NJ, United States
- **Experience:** Expert
- **Salary:** $117,000.0 - $201,250.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Health Informatics, Code Reuse, Communications Protocols, Digital Assets, Information Extraction, Python (Programming Language), SQL Databases, Large Language Models, Generative AI, Information Technology, Machine Learning Operations, Meditech
- **Published:** October 30, 2026
- **Apply:** https://www.careers.jnj.com/en/jobs/r-107077/principal-data-scientist-ddsai-gd/

## About the Role

* 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.
 * Demonstrated experience defining, validating, deploying, and driving adoption of analytical solutions that inform clinical-development, clinical-operations, or real-world evidence decisions.
 * Hands-on experience with structured and unstructured clinical, operational, or RWD data, including multimodal modeling and time-series or simulation methods.
 * Proficiency in Python and SQL, modern ML, optimization, and LLM-development libraries, and reproducible MLOps practices.
 * Strong communication, stakeholder-management, and technical-leadership skills., * Experience in healthcare, pharmaceutical development, MedTech, clinical development, or clinical operations.
 * Experience applying RWD methods to clinical-trial design, including target-trial emulation, propensity methods, survival analysis, or time-to-event analysis.
 * Experience delivering analytical products or applications used by clinical or business teams.

## Description

J&J Innovative Medicine - Data, Data Science, and AI - Global Development (DDSAI GD) is seeking a Principal Data Scientist to lead end-to-end delivery of integrated analytical solutions for defined 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., * 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.