Principal Data Scientist, DDSAI Global Development

Johnson & Johnson Co.; Madrid; On-site; EUR 62,000 - 106,000; Full time

Benefits offered by this job

Annual bonus

Vacation days

Parental leave

Bereavement leave

Well-being reimbursement

Insurance plans

Job summary

Johnson & Johnson is seeking a Principal Data Scientist to lead end-to-end data-science solutions for Innovative Medicine’s Global Development. You will apply ML, GenAI, and RWD analytics to study feasibility, enrollment forecasting, and operational planning, shaping evidence for clinical decisions.

Join a multidisciplinary team driving protocol design, data harmonization, and workflow automation while mentoring colleagues and delivering measurable outcomes.

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.
• 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.

Responsibilities

• Own 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

Time-series

Communication

Leadership

Education

Master's degree in quantitative field

PhD preferred

Tools

Pandas

Scikit-learn

TensorFlow

PyTorch

LLM development libraries

Job description

Johnson & Johnson is seeking a Principal Data Scientist to lead end-to-end data-science solutions for Innovative Medicine’s Global Development. You will apply ML, GenAI, and RWD analytics to study feasibility, enrollment forecasting, and operational planning, shaping evidence for clinical decisions.

Join a multidisciplinary team driving protocol design, data harmonization, and workflow automation while mentoring colleagues and delivering measurable outcomes.