At Johnson & Johnson, we believe 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 Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: J&J; Innovative Medicine – Data, Data Science, and AI
- Integral 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. 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. 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. 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. Experience applying RWD methods to clinical-trial design, including target-trial emulation, propensity methods, survival analysis, or time-to-event analysis. Data Analysis Data Privacy Standards Data Quality Data Reporting Data Savvy Data Science Data Visualization Digital Fluency Workflow Analysis Data Analysis Data Privacy Standards Data Quality Data Reporting Data Savvy Data Science Data Visualization Digital Fluency Workflow Analysis an annual bonus with set target (% of pay) depending on pay grade / location, where the actual amount is based on the employees' and companies' performance of the previous calendar year, or sales commissions. Throughout the recruitment process
- from application through hiring
- we are committed to providing reasonable accommodations/adjustments for qualified candidates with disabilities. If you need support at any stage of the recruitment process, please complete our candidate accommodation request form so we can assist you. #

📌 Data science expert. (Comunidad de Madrid)
🏢 6010-Biosense Webster Inc. Legal Entity
📍 Comunidad de Madrid