Principal Data Scientist – GenAI & RWD (Madrid)

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

Career growth programs

Job summary

Johnson & Johnson Innovative Medicine – Data, Data Science, and AI is seeking a Principal Data Scientist to lead end-to-end delivery of 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.

Collaborate with clinical, operational, and data teams; apply MLOps, privacy, data-quality standards; mentor

Qualifications

• Hands-on experience delivering data-science solutions in healthcare or life sciences.
• Proficiency with structured and unstructured data, including multimodal/multi-source data.
• Strong communication of complex analytics to technical and nontechnical audiences.
• Experience leading end-to-end data-science delivery with model validation and adoption.

Responsibilities

• Lead end-to-end definition, development, validation, deployment of data-science solutions.
• Drive predictive modeling, simulations, optimization, GenAI for study design and operations.
• Leverage real-world data to generate actionable evidence for decisions.
• Develop LLM-enabled workflows for information extraction and protocol comparison.
• Mentor junior colleagues and advance delivery practices across teams.
• Ensure compliance with privacy, data-quality, and responsible-AI standards.

Skills

Python

SQL

Data Science

Data Visualization

Data Analysis

Machine Learning

LLM development

MLOps

Communication

Stakeholder mgmt

Education

Master’s degree in quantitative field (M.S./PhD preferred)

Tools

Python stack

SQL databases

LLM libraries

MLOps tools

Job description

Johnson & Johnson Innovative Medicine – Data, Data Science, and AI is seeking a Principal Data Scientist to lead end-to-end delivery of 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.

Collaborate with clinical, operational, and data teams; apply MLOps, privacy, data-quality standards; mentor