Principal Data Scientist – DDSAI GD

Data Analytics & Computational Sciences

Data Science

Scientific/Technology

Titusville, New Jersey, United States of America

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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.

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, Med Tech, 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…